# Kununu Scraper \[Just 💰$1] — Employer Reviews & Ratings (DACH) (`blackfalcondata/kununu-scraper`) Actor

💰 $1 per 1,000 records. Scrape kununu.com across DACH — company ratings, employee reviews & salary ranges · score trends · interview outcomes · awards · social handles. Incremental mode tracks new and changed reviews across scheduled runs.

- **URL**: https://apify.com/blackfalcondata/kununu-scraper.md
- **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Features:** Limited permissions
- **Stats:** 86 total users, 24 monthly users, 99.9% runs succeeded, 2 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 company profiles

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### What does Kununu Scraper do?

Kununu Scraper extracts structured employer reputation data from [kununu.com](https://kununu.com) across Germany, Austria, and Switzerland (DACH). It returns company ratings broken down by category, individual employee reviews, applicant/interview reviews with hire-or-rejected outcomes, salary ranges, benefits, awards, social-media handles, structured addresses, and a 24-month score trend benchmarked against the company's industry. Inputs accept a keyword, a list of company names, direct kununu URLs, or an existing Apify dataset — and incremental mode lets you re-run the same input to track only what has changed.

### How to use this actor

- 👉 **Register for a free Apify account** — no credit card required.
- 🎉 Just click **[Sign up free on Apify →](https://console.apify.com/sign-up?fpr=1h3gvi)** and complete a quick signup.
- 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
- ⏳ Scrape during the free trial, with no commitment or upfront payment required.

### Key features

- **🎤 Applicant interview reviews:** toggle `includeApplicantReviews` to paginate kununu's `/bewerbung` feed for individual applicant reviews. Each entry includes the application year, the outcome (`hired` / `rejected` / `offerDeclined`), applicant-recalled interview questions, and applicant-specific rating dimensions (professionalism, responsiveness, interview atmosphere, etc.). Cap pagination depth with `maxApplicantReviewPages`.
- **📈 24-month score trend + industry benchmark:** every detail-enriched company carries `scoreTrend.newerThan24Months` vs `olderThan24Months` with the delta, plus `industryAverageScore` — so you see at a glance whether reputation is rising or falling and how far above/below the industry baseline a company sits. Pairs with `responseTimeInDays` (HR engagement KPI) and `firstReviewYear` (profile credibility / age signal).
- **⭐ 4-bucket rating distribution:** toggle `includeRatingBuckets` to get the 4-bucket star distribution (excellent 4-5★, good 3-4★, satisfactory 2-3★, subpar 1-2★) with per-bucket review counts and percentages — separately for employee reviews and applicant reviews. Catches polarised companies that average to "OK" while actually splitting into two camps.
- **🏆 Awards & badges with year history:** every detail-enriched company emits `awards[]` with kununu Top Company seals, category Top Rated badges, and third-party awards (e.g. Die Zeit Most Wanted Employer). Each award groups its per-year badges with the badge image URL and a `wasPaid` flag — so you can distinguish earned reputation signals from sponsored placements.
- **📍 Structured addresses & company facts:** detail enrichment surfaces `profileLocations.locations[]` with the company's curated HQ address (street, postal, city, country, lat/lng) and optional `companyFacts.numberOfEmployees` + `companyFacts.revenue` self-reported by the company — usable directly for CRM enrichment or geo-coded lead scoring without a separate geocoding step.
- **💼 Open job postings & website contact emails:** toggle `includeJobs` to add one `job` row per open posting (title, posting date, city, employment type, advertised salary, kununu salary benchmark), capped by `maxJobsPerCompany`; each job row is billed as a "Job posting" event. Add `fetchJobDetails` for the full posting: description as text, HTML and Markdown, requirements and responsibilities, benefits, full address, remote options, application link and closing date. Toggle `enrichEmails` to add the addresses published on the employer's website as `websiteEmails`, plus the best general address as `contactEmail` (billed once per company where an address is found).
- **♻️ Incremental mode:** recurring runs emit only listings whose ratings, reviews, or metadata changed — track reputation movement over time without re-processing the universe. Saves 80–95% on monitoring runs.
- **🔔 Notifications:** Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook out of the box. Pair with incremental for daily new-listing alerts without pipeline glue.
- **📤 Export anywhere:** Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).
- **📧 Email + phone extraction:** best-effort regex extraction of contact emails and phone numbers from descriptions — emitted as `extractedEmails[]` and `extractedPhones[]` on every record.
- **🔌 MCP connectors:** export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.

### What data can you extract from kununu.com?

Every run emits one row per matched company. When optional flags are enabled, additional rows are emitted for individual reviews. Each company row is grouped into the following field categories:

- **Identity** — `companyName`, `simpleName`, `slug`, `uuid`, `portalUrl`, `countryCode`, `industry`, `location`, `profileType`, `previewType` (`EBP_Pro` / `EBP` / `Claimed` / `Non_EBP`).
- **Match quality** (keyword/companyNames/datasetId modes) — `matchStatus`, `matchConfidence`, `queryCompanyName`.
- **Rating + trend** — `rating`, `ratingRounded`, `reviewCount`, `industryAverageScore`, `scoreTrend` (newer vs older 24-month averages with delta), `firstReviewYear`.
- **Rating distribution** (with `includeRatingBuckets`) — `ratingBuckets.employees` and `ratingBuckets.applicants`, each with `excellent` / `good` / `satisfactory` / `subpar` buckets carrying `percentage` and `totalReviews`.
- **Recommendation** — `recommendationRate`, `recommendationTotalReviews`, `recommendationRecommended`, `recommendationNotRecommended`, `responseTimeInDays`.
- **Review volume splits** — `totalReviewsEmployees`, `totalReviewsCandidates`, `totalReviewsLastTwoYears`, `totalReviewsWithResponseLastTwoYears`, `totalNegativeReviewsLastTwoYears`, `totalReviewsWithText`, `totalCultureReviews`, `totalEmployerReviewsWithText`, `totalApplicationReviewsWithText`, `totalApprenticeshipReviewsWithText`.
- **Score breakdown** (with `includeDetails`) — `scoreBreakdown[]` with per-category scores (career, culture, work-environment, diversity) and nested factor-level scores.
- **Benefits + salary** — `benefits[]` (with `percentage` of reviews mentioning each), `salaryRanges[]`, `salarySatisfaction`. `includeFullSalary` extends salary ranges to the full per-job-title list.
- **Awards + verification** — `awards[]` (kununu Top Company seals, Top Rated badges, third-party awards with per-year badges + image URLs + `wasPaid`), `isTopCompany`, `isVerified`, `isClaimed`, `isTopCompanyPaid`.
- **Company facts + social** — `companyFacts.numberOfEmployees`, `companyFacts.revenue`, `officialSocialMedia` (curated handles for Facebook, X/Twitter, YouTube, Instagram, Xing, LinkedIn).
- **Locations** — `locationSummary` (main city + state + additional locations count), `hasLocationsContent`, and `profileLocations.locations[]` with structured `address`, `postalCode`, `city`, `country`, `latitude`, `longitude`, optional `website` / `email` / `phone`, plus a German freeText footprint description.
- **Contact** (with `includeContactData=true`, default on) — `extractedEmails`, `extractedPhones`, `socialProfiles` (regex-discovered from page HTML).
- **Culture** (with `includeCulture`) — `kulturKompass` with Kulturkompass compass score, MODERN/TRADITIONAL classification, 4 culture dimensions, strength/weakness factors, statements, and tagged review comments.
- **Rich content** (with `includeRichContent`) — `richContent` block carrying slogan, narrative HTML (whatIsSpecial, benefitsStatement, whoWeAre, whoWeAreLookingFor, legalInformation), image gallery, video gallery, and jobInsights Q\&A interviews with named employees. HTML-heavy; off by default. **The HTML strings are emitted as the company submitted them to kununu — sanitise/escape on your end before rendering in a browser, an email template, or an LLM prompt.**
- **Individual reviews** (with `includeReviews=true`) — separate dataset rows with `type: "review"`. `reviewType: "employer"` covers employees / apprentices / interns / students / managers (discriminated by the `position` field); fields include `title`, `score`, `roundedScore`, `ratings[]` per dimension, `textsPositive`, `textsNegative`, `textsSuggestion`, `recommended`, `former`, `responses[]` (company replies).
- **Applicant reviews** (with `includeApplicantReviews=true`) — same `type: "review"` rows with `reviewType: "application"` carrying applicant-specific fields: `applicantYear`, `applicantResult` (e.g. `"hired"` / `"rejected"` / `"offerDeclined"`), `interviewQuestions[]` (applicant-recalled question text), and applicant rating dimensions (`professionalism`, `responsiveness`, `predictability`, `interviewAtmosphere`, etc.).
- **Incremental metadata** (with `incrementalMode=true`) — `changeType` (`NEW` / `UPDATED` / `UNCHANGED`), `scrapedAt`, and a content-hash that detects same-length text edits.

In standard mode, all fields are always present — unavailable data points return `null`, never omitted. In compact mode, only core fields are returned.

### Input

The main inputs are a search keyword and a result limit. Additional filters and options are available in the input schema.

Key parameters:

- **`mode`** — Which input to use. 'keyword' paginates search results for a query. 'companyNames' looks up a list of company names. 'companyUrls' uses direct kununu URLs. 'datasetId' reads names from an existing Apify dataset. Leave blank to auto-detect from the fields you fill in. A company that isn't found still returns a result marked NOT_FOUND instead of being skipped.
- **`query`** — Search term for keyword mode (e.g. 'software'). Required when mode=keyword. Leave blank for other modes.
- **`companyNames`** — List of company names to look up on kununu. Best match from first search page is returned. A name with no match still returns a result marked NOT_FOUND.
- **`companyUrls`** — List of kununu company URLs (e.g. https://www.kununu.com/de/bosch-gruppe). Country code and slug are parsed from each URL — URLs can mix DE/AT/CH. Skips search and matching. Incremental mode works per-slug. A URL with no company on kununu still returns a result marked NOT_FOUND.
- **`startUrls`** — Alias for Company URLs. Paste direct kununu company URLs (e.g. https://www.kununu.com/de/bosch-gruppe). If set, the actor uses URL mode automatically.
- **`datasetId`** — ID of an existing Apify dataset. Actor reads company names from this dataset and enriches with kununu ratings.
- **`companyFieldName`** — Field in the dataset that contains the company name. Default: companyName. (default: `"companyName"`)
- **`deduplicateField`** — Optional field to deduplicate by before lookup (e.g. 'companyId'). Useful when multiple jobs share the same company.
- **`countryCode`** — Kununu country: de (Germany), at (Austria), ch (Switzerland). (default: `"de"`)
- **`industryId`** — Filter results by industry ID. Only applies in keyword search mode. Common IDs: 1=Banking, 2=Construction, 3=Consulting, 4=Education, 5=Publishing, 6=Finance, 7=Healthcare, 8=Insurance, 9=Pharma, 10=IT/Software, 11=Engineering, 12=Automotive, 13=Chemicals, 14=Transport, 15=Retail, 16=Telecom, 17=Energy, 18=Media, 19=Public sector, 20=NGO, 43=Hotels, 44=Gastronomy. Find other IDs by filtering on kununu.com and checking the URL.
- **`maxResults`** — Maximum number of results to return. 0 = no limit. This is the primary cost control — Apify charges per emitted result event. (default: `100`)
- **`maxPages`** — Maximum number of search result pages to scrape in keyword mode. 0 = no limit. Defensive safety bound — `maxResults` is the primary record cap. (default: `10`)
- ...and 35 more parameters

### Input examples

**Basic search** — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

```json
{
  "mode": "keyword",
  "query": "software",
  "maxResults": 50
}
```

**Incremental tracking** — Only emit reviews that changed since the previous run with this `stateKey`.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed.

```json
{
  "query": "software",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "software-tracker"
}
```

**Compact output for AI agents** — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

```json
{
  "query": "software",
  "maxResults": 50,
  "compact": true
}
```

**Full enrichment** — Pull awards, score trends, structured addresses, official social handles, rating-distribution buckets, and per-category scores for a list of named companies.

→ Adds the Tier-A enrichment block (scoreTrend, industryAverageScore, awards, companyFacts, officialSocialMedia, locationSummary, profileLocations) plus 4-bucket rating distribution. One request per company beyond the base lookup.

```json
{
  "mode": "companyNames",
  "companyNames": [
    "Bosch Gruppe",
    "Siemens",
    "SAP SE"
  ],
  "includeDetails": true,
  "includeRatingBuckets": true
}
```

**Applicant interview insights** — Get individual applicant reviews with interview questions, hire/reject outcomes, and application-year.

→ Auto-enables `includeReviews` and `includeDetails`. Emits one company row plus N applicant-review rows per company (`reviewType: "application"`). Cap depth with `maxApplicantReviewPages` (default 10 pages ≈ 100 reviews per company).

```json
{
  "mode": "companyUrls",
  "companyUrls": [
    "https://www.kununu.com/de/bosch-gruppe"
  ],
  "includeApplicantReviews": true,
  "maxApplicantReviewPages": 5
}
```

### Output

Each run produces a dataset of structured review records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

### Example review record

```json
{
  "type": "company",
  "companyName": "SAP SE",
  "slug": "sap",
  "uuid": "a558284b-93ad-4015-a649-a1e152c479c8",
  "portalUrl": "https://www.kununu.com/de/sap",
  "matchStatus": "EXACT_MATCH",
  "matchConfidence": 1,
  "queryCompanyName": "SAP",
  "rating": 4.1,
  "ratingRounded": 4,
  "reviewCount": 4769,
  "recommendationRate": 84,
  "recommendationTotalReviews": 555,
  "recommendationRecommended": 464,
  "recommendationNotRecommended": 91,
  "industry": "GENERAL_IND_IT",
  "location": "Walldorf / Baden-Württemb.",
  "country": "Deutschland",
  "countryCode": "de",
  "isTopCompany": true,
  "isVerified": true,
  "isClaimed": true,
  "isTopCompanyPaid": false,
  "hasLocationsContent": false,
  "totalReviewsEmployees": 4769,
  "totalReviewsCandidates": 287,
  "locationSummary": {
    "city": "Walldorf / Baden-Württemb.",
    "state": "Baden-Württemberg",
    "countryCode": "de",
    "additionalLocationsCount": 41
  },
  "simpleName": "SAP",
  "previewType": "EBP_Pro",
  "firstReviewYear": 2007,
  "industryAverageScore": 4,
  "responseTimeInDays": 0,
  "scoreTrend": {
    "newerThan24Months": 4,
    "olderThan24Months": 4.4,
    "delta": -0.4
  },
  "totalReviewsLastTwoYears": 585,
  "totalReviewsWithResponseLastTwoYears": 0,
  "totalNegativeReviewsLastTwoYears": 97,
  "totalReviewsWithText": 2712,
  "totalCultureReviews": 1586,
  "totalEmployerReviewsWithText": 2466,
  "totalApplicationReviewsWithText": 228,
  "totalApprenticeshipReviewsWithText": 18,
  "awards": [
    {
      "uuid": "0eb431fa-4e03-40bf-8656-49741f92e533",
      "name": "kununu Top Company",
      "detail": "https://arbeitgeberportal.kununu.com/top-company-siegel-box/",
      "badges": [
        {
          "uuid": "6fb4d349-9da9-48de-b0fa-2c62f1e4a3e1",
          "name": "Top Company 2027",
          "year": 2027,
          "image": "https://assets.kununu.com/media/prod/profiles/awards/kununu-top-company/top-company-2027.svg",
          "wasPaid": false
        },
        {
          "uuid": "c44f3a05-ade3-4af0-a6b9-9a53962d0cb4",
          "name": "Top Company 2026",
          "year": 2026,
          "image": "https://assets.kununu.com/media/prod/profiles/awards/kununu-top-company/top-company-2026.svg",
          "wasPaid": false
        },
        {
          "uuid": "1b25ac95-0f2c-4673-8f23-41648b6c60f0",
          "name": "Top Company 2025",
          "year": 2025,
          "image": "https://assets.kununu.com/media/prod/profiles/awards/kununu-top-company/top-company-2025.svg",
          "wasPaid": false
        },
        {
          "uuid": "1780a874-919c-45f4-a7ae-59cbf2537c46",
          "name": "Top Company 2024",
          "year": 2024,
          "image": "https://assets.kununu.com/media/prod/profiles/awards/top-company/top_company_2024.svg",
          "wasPaid": false
        },
        {
          "uuid": "e52785f3-f2a3-4696-b020-a4942a40d37d",
          "name": "Top Company 2023",
          "year": 2023,
          "image": "https://assets.kununu.com/media/prod/profiles/awards/top-company/top_company_2023.svg",
          "wasPaid": false
        },
        "... 1 more items"
      ]
    },
    {
      "uuid": "df86d7f9-01e8-402a-850c-3754359b42e9",
      "name": "kununu Top Rated-Siegel Gehaltszufriedenheit",
      "detail": "https://arbeitgeberportal.kununu.com/produkte/top-rated-siegel-gehaltszufriedenheit/",
      "badges": [
        {
          "uuid": "0e4536a6-87cb-423b-b51e-c7df773dbd35",
          "name": "Top Rated-Siegel Gehaltszufriedenheit 2026",
          "year": 2026,
          "image": "https://assets.kununu.com/media/prod/profiles/awards/kununu-top-rated-siegel-gehaltszufriedenheit/top-rated-siegel-gehaltszufriedenheit-2026.svg",
          "wasPaid": false
        }
      ]
    },
    {
      "uuid": "6f396783-d83b-405f-883f-46af8448fb73",
      "name": "kununu Top Rated-Siegel Familienfreundlichkeit",
      "detail": "https://arbeitgeberportal.kununu.com/produkte/top-rated-siegel-familienfreundlichkeit/",
      "badges": [
        {
          "uuid": "0f662534-0f43-4f05-9eb5-ce0a77668cac",
          "name": "Top Rated-Siegel Familienfreundlichkeit 2026",
          "year": 2026,
          "image": "https://assets.kununu.com/media/prod/profiles/awards/kununu-top-rated-siegel-familienfreundlichkeit/top-rated-siegel-familienfreundlichkeit-2026.svg",
          "wasPaid": false
        }
      ]
    },
    {
      "uuid": "bd38b849-e61a-46c6-8a4f-5155dff88705",
      "name": "Die Zeit - Most Wanted Employer",
      "detail": "https://news.kununu.com/beste-arbeitgeber-deutschland/",
      "badges": [
        {
          "uuid": "edaf0f26-e252-4aaf-8cdb-71e4bb669170",
          "name": "Die Zeit - Most Wanted Employer 2022",
          "year": 2022,
          "image": "https://assets.kununu.com/media/prod/profiles/awards/die-zeit-most-wanted-employer/2022.png",
          "wasPaid": false
        }
      ]
    }
  ],
  "profileType": "claimed",
  "totalJobs": 0,
  "website": "https://jobs.sap.com",
  "followerCount": 2820,
  "scoreBreakdown": [
    {
      "id": "AP_CATEGORY_CAREER",
      "score": 3.9,
      "roundedScore": 4,
      "totalReviews": 4672,
      "factors": [
        {
          "id": "salary",
          "score": 3.8,
          "roundedScore": 4,
          "totalReviews": 4672
        },
        {
          "id": "image",
          "score": 4.1,
          "roundedScore": 4,
          "totalReviews": 4640
        },
        {
          "id": "career",
          "score": 3.9,
          "roundedScore": 4,
          "totalReviews": 4646
        }
      ]
    },
    {
      "id": "AP_CATEGORY_CULTURE",
      "score": 4.1,
      "roundedScore": 4,
      "totalReviews": 4715,
      "factors": [
        {
          "id": "atmosphere",
          "score": 4.2,
          "roundedScore": 4,
          "totalReviews": 4715
        },
        {
          "id": "communication",
          "score": 3.8,
          "roundedScore": 4,
          "totalReviews": 4676
        },
        {
          "id": "teamwork",
          "score": 4.3,
          "roundedScore": 4.5,
          "totalReviews": 4689
        },
        {
          "id": "workLife",
          "score": 3.9,
          "roundedScore": 4,
          "totalReviews": 4675
        },
        {
          "id": "leadership",
          "score": 4,
          "roundedScore": 4,
          "totalReviews": 4683
        },
        "... 1 more items"
      ]
    },
    {
      "id": "AP_CATEGORY_WORK_ENVIRONMENT",
      "score": 4.2,
      "roundedScore": 4,
      "totalReviews": 4662,
      "factors": [
        {
          "id": "workConditions",
          "score": 4.2,
          "roundedScore": 4,
          "totalReviews": 4662
        },
        {
          "id": "environment",
          "score": 4.1,
          "roundedScore": 4,
          "totalReviews": 4607
        }
      ]
    },
    {
      "id": "AP_CATEGORY_DIVERSITY",
      "score": 4.2,
      "roundedScore": 4,
      "totalReviews": 4622,
      "factors": [
        {
          "id": "equality",
          "score": 4.3,
          "roundedScore": 4.5,
          "totalReviews": 4622
        },
        {
          "id": "oldColleagues",
          "score": 4.2,
          "roundedScore": 4,
          "totalReviews": 4551
        }
      ]
    }
  ],
  "benefits": [
    {
      "id": "flexWorkingHours",
      "total": 3911,
      "percentage": 82
    },
    {
      "id": "homeOffice",
      "total": 3745,
      "percentage": 79
    },
    {
      "id": "internet",
      "total": 3479,
      "percentage": 73
    },
    {
      "id": "cantine",
      "total": 3393,
      "percentage": 71
    },
    {
      "id": "pensionPlan",
      "total": 3387,
      "percentage": 71
    },
    "... 14 more items"
  ],
  "salaryRanges": [
    {
      "jobRoleTitleId": 15019,
      "jobRoleTitle": "Softwareentwickler:in",
      "jobRoleTitleSlug": "softwareentwickler-in",
      "profileRangeMin": 43500,
      "profileRangeMax": 109800,
      "profileMedian": 70400,
      "profileAverage": 72600,
      "profileNumberOfEntries": 346
    },
    {
      "jobRoleTitleId": 19397,
      "jobRoleTitle": "Werkstudent:in",
      "jobRoleTitleSlug": "werkstudent-in",
      "profileRangeMin": 21900,
      "profileRangeMax": 49600,
      "profileMedian": 26400,
      "profileAverage": 27700,
      "profileNumberOfEntries": 175
    },
    {
      "jobRoleTitleId": 17844,
      "jobRoleTitle": "SAP-Berater:in",
      "jobRoleTitleSlug": "sap-berater-in",
      "profileRangeMin": 47000,
      "profileRangeMax": 125900,
      "profileMedian": 75000,
      "profileAverage": 79700,
      "profileNumberOfEntries": 133
    }
  ],
  "competitors": [
    {
      "slug": "adesso",
      "name": "adesso SE",
      "uuid": "ea47264e-1797-409f-9e6e-d1b5634c6868",
      "countryCode": "de",
      "score": 3.8,
      "roundedScore": 4,
      "industryId": 6
    },
    {
      "slug": "bvr",
      "name": "Bundesverband der Deutschen Volksbanken und Raiffeisenbanken e.V. (BVR)",
      "uuid": "5cc4122e-ab8e-489e-8700-8adc24cab721",
      "countryCode": "de",
      "score": 4.3,
      "roundedScore": 4.5,
      "industryId": 1
    },
    {
      "slug": "avendis",
      "name": "AVENDIS GmbH",
      "uuid": "f96c1d94-ed0b-4a09-a624-eb2c7afdb8d6",
      "countryCode": "de",
      "score": 3.7,
      "roundedScore": 3.5,
      "industryId": 6
    },
    {
      "slug": "akut-hr-consulting",
      "name": "akut... HR Consulting GmbH",
      "uuid": "f76b3d49-8e91-41e0-bc8c-11b90ad57e78",
      "countryCode": "de",
      "score": 4.7,
      "roundedScore": 4.5,
      "industryId": 3
    },
    {
      "slug": "enbw-energie-baden-wuerttemberg",
      "name": "EnBW Energie Baden-Württemberg AG",
      "uuid": "bf60d92d-d016-4ff7-a92e-b468902e6016",
      "countryCode": "de",
      "score": 4.3,
      "roundedScore": 4.5,
      "industryId": 32
    },
    "... 15 more items"
  ],
  "topCompanyYears": [
    2027,
    2026,
    2025,
    2024,
    2023,
    "... 1 more items"
  ],
  "salarySatisfaction": {
    "totalReviews": 4672
  },
  "searchQuery": "SAP",
  "scrapedAt": "2026-11-03T18:55:07.905Z",
  "contentHash": "6bcf6e0bcea16edbe46f9db33d720b1a0efe87a866f4ab41b7753c52fe618dcb"
}
```

### Incremental fields

When incremental mode is on, each record also carries:

- `changeType` — one of `NEW`, `UPDATED`, `UNCHANGED`, `REAPPEARED`, `EXPIRED`. Default output covers `NEW` / `UPDATED` / `REAPPEARED`; set `emitUnchanged: true` or `emitExpired: true` to opt into the others.

### How to scrape kununu.com

1. Go to [Kununu Scraper](https://apify.com/blackfalcondata/kununu-scraper?fpr=1h3gvi) in Apify Console.
2. Enter a search keyword.
3. Set `maxResults` to control how many results you need.
4. Enable `includeDetails` if you need full descriptions, contact info, company data.
5. Click **Start** and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

### Use cases

- **Reputation monitoring** — track employer ratings, recommendation rates, score trends, and negative-review velocity across a portfolio of competitors or target employers; incremental mode flags only what's changed since the last run.
- **Talent acquisition intelligence** — applicant-review data (interview questions, hire/reject outcomes, applicant-year) gives recruiters and candidates ground-truth on hiring processes at specific companies.
- **HR benchmarking** — compare a company against its `industryAverageScore`, `scoreTrend`, response-time KPIs, and per-category scores (career, culture, work-environment, diversity).
- **Salary benchmarking** — pull full salary ranges with `includeFullSalary` for 20+ job titles per company across Germany, Austria, and Switzerland.
- **Lead enrichment** — augment a CRM with structured kununu addresses (street + postal + lat/lng), official social handles, employee-count, and revenue facts for DACH employers.
- **AI agents and MCP workflows** — compact mode strips to core fields for token-efficient LLM input; rich-content mode delivers narrative HTML (slogan, company overview, jobInsights Q\&A) when needed.
- **Awards and credibility signals** — surface kununu Top Company seals, Top Rated badges, and third-party awards with per-year history and `wasPaid` flag to distinguish earned vs sponsored badges.
- **Export anywhere** — JSON, CSV, or Excel from Apify Console; or stream via API to dashboards, data warehouses, n8n / Make / Zapier.

### How much does it cost to scrape kununu.com?

Kununu Scraper uses [pay-per-event](https://docs.apify.com/platform/actors/paid-actors/pay-per-event) pricing. You pay a small fee when the run starts and then for each result that is actually produced.

- **Run start:** $0.005 per run
- **Per company profile (primary event):** $0.001

You are billed only for the events your run actually triggers. Prices below are the Free plan tier.

| Event | Price (Free tier) | Charged when |
|---|---|---|
| Actor Start | $0.005 (one-time) | Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event). |
| Company profile (primary) | $0.001 | Per company profile scraped (matched search result with optional detail enrichment), including a result marked NOT_FOUND when the company isn't on kununu. |
| Review extracted | $0.001 | Per individual employee review scraped (when includeReviews=true). |

> **Upcoming pricing change — effective 19 November 2026.** Prices above are what you are charged today and stay in force until then.
>
> - **New event — Job posting: $0.0009.** One open job posting row (only when includeJobs is on), with full details when fetchJobDetails is on. It is charged only when a run produces that output; runs that do not are unaffected.
> - **New event — Website contact email: $0.045.** Charged once per company when enrichEmails finds at least one email address on the employer's own website. Nothing is charged when none is found. It is charged only when a run produces that output; runs that do not are unaffected.

Example costs (primary event only — other events above add cost when they fire):

- 10 results: **$0.015**
- 25 results: **$0.03**
- 100 results: **$0.11**
- 200 results: **$0.21**
- 500 results: **$0.51**

> **Platform usage is billed on top of these prices.** The figures above are Apify event fees only. Compute units and proxy traffic are billed separately by Apify at your actual consumption, and for proxy- or browser-heavy workloads they can exceed the event fees. What you actually pay depends on your own input — how many results you request, whether detail enrichment is on, and the run memory you choose — so it cannot be stated as a fixed figure here. Every run reports its exact platform usage on the run detail page.
>
> The **Actor Start** event is charged once per GB of run memory (minimum one), so a run configured with 2 GB is charged two start events rather than one.

#### Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of reviews that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 reviews per run, daily polling (30 runs/month). Costs scale linearly with the number of reviews.

Numbers below are for the primary **Company profile** event. Other events (**Review extracted**) are billed separately when they fire.

| Churn rate | Full re-scrape run cost | Incremental run cost | Savings vs full re-scrape | Monthly cost after baseline |
|---|---:|---:|---:|---:|
| 5% — stable niche query | $0.26 | $0.02 | $0.24 (93%) | $0.53 |
| 15% — moderate broad query | $0.26 | $0.04 | $0.21 (83%) | $1.27 |
| 30% — high-volume aggregator | $0.26 | $0.08 | $0.17 (69%) | $2.40 |

Full re-scrape monthly cost at the same cadence: $7.65. First month with incremental costs $0.76 / $1.49 / $2.57 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage (see the note above) also applies to these figures. Incremental runs consume less of it on result processing, though the fixed per-run overhead stays the same.

### FAQ

#### How many results can I get from kununu.com?

The number of results depends on the search query and available reviews on kununu.com. Use the `maxResults` parameter to control how many results are returned per run.

#### Does Kununu Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed reviews on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

#### Can I integrate Kununu Scraper with other apps?

Yes. Kununu Scraper works with Apify's [integrations](https://apify.com/integrations?fpr=1h3gvi) to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

#### Can I use Kununu Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the [Apify API](https://docs.apify.com/api/v2). Client libraries are available for JavaScript, Python, and other languages.

#### Can I use Kununu Scraper through an MCP Server?

Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-mcp-server?fpr=1h3gvi) that lets AI assistants and agents call this actor directly. Use compact mode, a single `descriptionFormat`, and `excludeEmptyFields` to keep payloads manageable for LLM context windows.

#### Is it legal to scrape kununu.com?

This actor extracts publicly available data from kununu.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

#### Your feedback

If you have questions, need a feature, or found a bug, please [open an issue](https://apify.com/blackfalcondata/kununu-scraper/issues?fpr=1h3gvi) on the actor's page in Apify Console. Your feedback helps us improve.

### You might also like

- [Agoda Reviews Scraper — Hotel Guest Reviews](https://apify.com/blackfalcondata/agoda-reviews-scraper?fpr=1h3gvi) — Scrape guest reviews for any Agoda hotel — star ratings · full review text in the original language.
- [Airbnb Reviews Scraper — vacation rental review data](https://apify.com/blackfalcondata/airbnb-reviews-scraper?fpr=1h3gvi) — Scrape airbnb.com reviews for any listing URL or a whole city. Get flat rows covering guest.
- [Booking Reviews Scraper \[Just 💰$1\] — by Hotel or Destination](https://apify.com/blackfalcondata/booking-reviews-scraper?fpr=1h3gvi) — 💰 $1 per 1,000 reviews. Scrape Booking.com guest reviews by hotel URL or destination. Each record.
- [Comparably Company Scraper — Ratings, Reviews & Salaries](https://apify.com/blackfalcondata/comparably-com-scraper?fpr=1h3gvi) — Scrape Comparably companies: overall rating, culture scores, CEO approval, employee reviews.
- [ReclameAqui Scraper — Brazil Complaints & Company Reputation](https://apify.com/blackfalcondata/reclameaqui-scraper?fpr=1h3gvi) — Scrape ReclameAqui Brazil — full consumer complaint threads with every company reply, not just a.
- [Trip.com Hotel Reviews Scraper](https://apify.com/blackfalcondata/trip-com-scraper?fpr=1h3gvi) — Scrape Trip.com hotel reviews by hotel URL or hotel ID — rating with sub-scores and the reviewer's.
- [Trustpilot Reviews Scraper \[💰$0.25\] — All Reviews, No 200 Cap](https://apify.com/blackfalcondata/trustpilot-reviews-scraper?fpr=1h3gvi) — 💰 $0.25 per 1,000 reviews. Scrape the full Trustpilot review history of any company, past the.
- [Clutch.co Scraper — B2B Agencies, Ratings & Reviews](https://apify.com/blackfalcondata/clutch-scraper?fpr=1h3gvi) — Scrape clutch.co — B2B service providers with ratings · review counts · service lines · hourly.

### Getting started with Apify

New to Apify? [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=1h3gvi) — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click **Start** — export results as JSON, CSV, or Excel

Need more later? [See Apify pricing](https://apify.com/pricing?fpr=1h3gvi).

### Disclaimer

This actor accesses only publicly available data on kununu.com. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Kununu's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Kununu or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

### Search keywords

kununu scraper, kununu api, apify kununu, kununu data extraction, kununu.com scraper, kununu.com data, kununu.com api, review scraper, customer review data, kununu reviews, kununu bewertungen, employer reviews germany, company ratings austria, arbeitgeber bewertungen, glassdoor alternative dach, employee reviews switzerland, salary data germany, interview reviews dach.

# Changelog

This Actor's version history is a separate document: https://apify.com/blackfalcondata/kununu-scraper/changelog.md

# Actor input Schema

## `mode` (type: `string`):

Which input to use. 'keyword' paginates search results for a query. 'companyNames' looks up a list of company names. 'companyUrls' uses direct kununu URLs. 'datasetId' reads names from an existing Apify dataset. Leave blank to auto-detect from the fields you fill in. A company that isn't found still returns a result marked NOT_FOUND instead of being skipped.

## `query` (type: `string`):

Search term for keyword mode (e.g. 'software'). Required when mode=keyword. Leave blank for other modes.

## `companyNames` (type: `array`):

List of company names to look up on kununu. Best match from first search page is returned. A name with no match still returns a result marked NOT_FOUND.

## `companyUrls` (type: `array`):

List of kununu company URLs (e.g. https://www.kununu.com/de/bosch-gruppe). Country code and slug are parsed from each URL — URLs can mix DE/AT/CH. Skips search and matching. Incremental mode works per-slug. A URL with no company on kununu still returns a result marked NOT_FOUND.

## `startUrls` (type: `array`):

Alias for Company URLs. Paste direct kununu company URLs (e.g. https://www.kununu.com/de/bosch-gruppe). If set, the actor uses URL mode automatically.

## `datasetId` (type: `string`):

ID of an existing Apify dataset. Actor reads company names from this dataset and enriches with kununu ratings.

## `companyFieldName` (type: `string`):

Field in the dataset that contains the company name. Default: companyName.

## `deduplicateField` (type: `string`):

Optional field to deduplicate by before lookup (e.g. 'companyId'). Useful when multiple jobs share the same company.

## `countryCode` (type: `string`):

Kununu country: de (Germany), at (Austria), ch (Switzerland).

## `industryId` (type: `string`):

Filter results by industry ID. Only applies in keyword search mode. Common IDs: 1=Banking, 2=Construction, 3=Consulting, 4=Education, 5=Publishing, 6=Finance, 7=Healthcare, 8=Insurance, 9=Pharma, 10=IT/Software, 11=Engineering, 12=Automotive, 13=Chemicals, 14=Transport, 15=Retail, 16=Telecom, 17=Energy, 18=Media, 19=Public sector, 20=NGO, 43=Hotels, 44=Gastronomy. Find other IDs by filtering on kununu.com and checking the URL.

## `maxResults` (type: `integer`):

Maximum number of results to return. 0 = no limit. This is the primary cost control — Apify charges per emitted result event.

## `maxPages` (type: `integer`):

Maximum number of search result pages to scrape in keyword mode. 0 = no limit. Defensive safety bound — `maxResults` is the primary record cap.

## `includeDetails` (type: `boolean`):

Fetch the company detail page to extract recommendation rate and website. Doubles the number of requests. Fetches the company profile page (~480 KB per company).

## `compact` (type: `boolean`):

Return only the most important fields. Useful for AI-agent workflows.

## `descriptionFormat` (type: `string`):

Pick a single description representation. `all` keeps the description as-is; `text` returns only the plain-text variant.

## `excludeEmptyFields` (type: `boolean`):

Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards.

## `incrementalMode` (type: `boolean`):

Track changes across runs. Emits changeType (NEW/UPDATED/UNCHANGED). NOT_FOUND results are cached for 30 days.

## `stateKey` (type: `string`):

Unique identifier for the incremental state (e.g. 'dach-companies-v1'). Required when incrementalMode is true.

## `includeReviews` (type: `boolean`):

Also scrape individual employee reviews for each matched company. Requires includeDetails=true. Each review becomes a separate dataset item with type='review'. Fetches the reviews page (~620 KB per company).

## `maxReviewPages` (type: `integer`):

Maximum review pages to scrape per company (10 reviews per page). 0 = no limit. Keep this conservative — popular companies can have hundreds of pages.

## `reviewSort` (type: `string`):

Sort order for review scraping. Default is kununu's own default (relevance), which pairs reliably with pagination.

## `includeFullSalary` (type: `boolean`):

Fetch the /gehalt page to get all salary ranges (~20 job titles) instead of the top 3 shown on the detail page. Adds one extra request per company. Requires includeDetails=true. Fetches the salary page (~300 KB per company).

## `includeCulture` (type: `boolean`):

Fetch the /kultur page to extract the Kulturkompass: profile-vs-industry compass score (0-200), MODERN/TRADITIONAL binary classification, 4 culture dimensions (leadership, strategic direction, work-life, working together), strength/weakness/most-voted factors, company statements, and culture-tagged review comments. Adds one extra request per company. Requires includeDetails=true. Returns null for companies with too few culture submissions. Fetches the Kulturkompass page (~280 KB per company).

## `includeRatingBuckets` (type: `boolean`):

Adds star-rating distribution buckets (excellent 4-5★, good 3-4★, satisfactory 2-3★, subpar 1-2★) with per-bucket review counts and percentages for both employee and applicant reviews. Also enriches output with verification flags (isClaimed, isTopCompanyPaid, hasLocationsContent), employee/candidate review-count splits, and main-office state. Adds 1-2 extra requests per company (one is shared with Include individual reviews when both are enabled). Requires includeDetails=true. Fetches the reviews and applicant pages (~1.2 MB per company) when not already enabled above.

## `includeContactData` (type: `boolean`):

Include extracted email addresses and phone numbers in the output. Disable to comply with stricter PII policies — extractedEmails and extractedPhones will be returned as empty arrays. Company social profiles (LinkedIn, Xing, etc.) are unaffected. Default: enabled.

## `includeApplicantReviews` (type: `boolean`):

Also scrape individual applicant reviews from the /bewerbung feed. Each entry includes interview questions, interview result (hired/rejected/etc.), application year, and applicant-specific rating dimensions (professionalism, responsiveness, predictability, etc.). **Billing**: each emitted applicant review is charged as a 'review-extracted' result, in addition to the extra page requests required to paginate them. A popular employer can have 100+ pages of applicant reviews — cap depth with 'Max applicant review pages' (default 10 pages ≈ 100 reviews per company). Auto-enables includeReviews and includeDetails when set. Fetches the applicant-review page (~555 KB per company).

## `maxApplicantReviewPages` (type: `integer`):

Maximum applicant-review pages to paginate per company (10 reviews per page). 0 = no limit. Defaults to 10 — popular employers can have 100+ pages so keep this conservative.

## `includeRichContent` (type: `boolean`):

Adds the richContent block: company slogan, narrative HTML (whatIsSpecial, benefitsStatement, whoWeAre, whoWeAreLookingFor, legalInformation), image gallery, video gallery, and jobInsights Q\&A interviews with named employees. This data is HTML-heavy and can multiply output size 5-20× per company. **The HTML is emitted verbatim as the company submitted it to kununu — sanitise/escape on your end before rendering in a browser, an email template, or an LLM prompt.** Requires includeDetails=true. Default: disabled.

## `includeJobs` (type: `boolean`):

Also return the company's open job postings as separate rows (type 'job'): job title, posting date, city and region, employment type, advertised salary when given, the kununu salary benchmark for the role, and a link to the posting. Each job row is billed as a 'Job posting' event. Default: disabled.

## `maxJobsPerCompany` (type: `integer`):

Maximum job postings returned per company when 'Include open job postings' is on. 0 = all open postings. Default: 30.

## `fetchJobDetails` (type: `boolean`):

Enrich every job row with the full posting: description (text, HTML and Markdown), description sections (requirements, responsibilities, application process), benefits, full address, remote options, application link and closing date. One extra page per job. Auto-enables 'Include open job postings'. Default: disabled.

## `enrichEmails` (type: `boolean`):

Visit the employer's own website (homepage and contact page) and add the email addresses published there to the company row as websiteEmails, plus the best general contact address as contactEmail. Auto-enables includeDetails. Billed as one 'Website contact email' event per company where at least one address is found. Default: disabled.

## `telegramToken` (type: `string`):

Telegram bot token (from @BotFather). Required for Telegram notifications.

## `telegramChatId` (type: `string`):

Telegram chat or channel ID (e.g. "-100123456789"). Required when telegramToken is set.

## `discordWebhookUrl` (type: `string`):

Discord incoming webhook URL. Server Settings → Integrations → Webhooks → New Webhook.

## `slackWebhookUrl` (type: `string`):

Slack incoming webhook URL. api.slack.com/messaging/webhooks.

## `whatsappAccessToken` (type: `string`):

WhatsApp Cloud API permanent access token (System User token from Meta Business). Recipient must have messaged the business number within the last 24h (service-conversation window — free since Nov 2024).

## `whatsappPhoneNumberId` (type: `string`):

Your WhatsApp Business phone-number ID (numeric, from Meta dashboard). Required when whatsappAccessToken is set.

## `whatsappTo` (type: `string`):

Recipient phone in E.164 format without + (e.g. "436641234567"). Recipient must have messaged your business number within last 24h.

## `webhookUrl` (type: `string`):

Receives a JSON POST with {metadata, items} after each run. Universal escape hatch for n8n / Make / Zapier / custom backends.

## `webhookHeaders` (type: `object`):

Optional JSON object of custom headers (e.g. {"Authorization":"Bearer ..."}).

## `notificationLimit` (type: `integer`):

Maximum number of items included in each notification message (1–20).

## `notifyOnlyChanges` (type: `boolean`):

When Incremental Mode is on, only send notifications for NEW and UPDATED items. Has no effect outside incremental mode.

## `appConnector` (type: `string`):

Optional. Pick a connected app under Settings → API & Integrations to receive your results. Notion is supported today (a run-summary page); other MCP connectors are best-effort as Apify expands its catalog.

## `mcpIssueTeam` (type: `string`):

Only when the connected app is an issue tracker: the team (name or ID) the summary issue is created under, if that app requires one.

## `emitUnchanged` (type: `boolean`):

When incremental mode is on, also emit listings whose content has not changed since the last run.

## `emitExpired` (type: `boolean`):

When incremental mode is on, also emit listings that were seen before but are no longer found.

## Actor input object example

```json
{
  "mode": "keyword",
  "query": "software",
  "companyFieldName": "companyName",
  "countryCode": "de",
  "maxResults": 100,
  "maxPages": 10,
  "includeDetails": false,
  "compact": false,
  "descriptionFormat": "all",
  "excludeEmptyFields": false,
  "incrementalMode": false,
  "includeReviews": false,
  "maxReviewPages": 10,
  "reviewSort": "relevance",
  "includeFullSalary": false,
  "includeCulture": false,
  "includeRatingBuckets": false,
  "includeContactData": true,
  "includeApplicantReviews": false,
  "maxApplicantReviewPages": 10,
  "includeRichContent": false,
  "includeJobs": false,
  "maxJobsPerCompany": 30,
  "fetchJobDetails": false,
  "enrichEmails": false,
  "notificationLimit": 5,
  "notifyOnlyChanges": false,
  "emitUnchanged": false,
  "emitExpired": false
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "mode": "keyword",
    "query": "software",
    "descriptionFormat": "all",
    "excludeEmptyFields": false,
    "includeJobs": false,
    "fetchJobDetails": false,
    "enrichEmails": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("blackfalcondata/kununu-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "mode": "keyword",
    "query": "software",
    "descriptionFormat": "all",
    "excludeEmptyFields": False,
    "includeJobs": False,
    "fetchJobDetails": False,
    "enrichEmails": False,
}

# Run the Actor and wait for it to finish
run = client.actor("blackfalcondata/kununu-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "mode": "keyword",
  "query": "software",
  "descriptionFormat": "all",
  "excludeEmptyFields": false,
  "includeJobs": false,
  "fetchJobDetails": false,
  "enrichEmails": false
}' |
apify call blackfalcondata/kununu-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,blackfalcondata/kununu-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/00RTebnddW1q4vQdH/builds/Hqdgb8AMvy5mUbpIi/openapi.json