RepVue Scraper — Sales Org Ratings, Score & Reviews

RepVue Scraper — Sales Org Ratings, RepVue Score, Category Ratings & Comp Intelligence

Extract sales organization ratings, compensation benchmarks, and workplace culture intelligence directly from RepVue (repvue.com). Scrape verified metrics including the proprietary RepVue Score (0–100), top-percentile ranking, overall rating, and granular category breakdowns: Base Compensation, Incentive Comp Structure, Culture & Leadership, Product-Market Fit, Inbound Lead Flow, Professional Development, and Diversity & Inclusion.

In addition to ratings, this scraper extracts firmographic indicators such as headcount, company size tier, funding source, active sales job count, official website, and careers URLs. Whether you are benchmarking compensation across tech peers, sourcing talent from top-performing sales teams, or enriching CRM records, this actor provides clean, structured data in seconds.

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⚡ At a glance

Feature	Specification
Target Website	repvue.com (RepVue Sales Organization Ratings)
Data Fields	RepVue Score, top %, category ratings, ratings counts, verified %, funding, headcount, jobs, URLs
Collection Modes	Target company slugs/URLs or automated universe discovery (~11,700+ companies)
Pagination Depth	Unlocked multi-page discovery (1,000+ companies across industry catalogs)
Typical Speed	20–40 company profiles per minute with concurrent parallel fetching
Proxy Requirement	Apify Proxy enabled (Datacenter default; Residential selectable for massive scale)
Export Formats	JSON, CSV, Excel (XLSX), XML, HTML Table, RSS
Integrations	Make, Zapier, Webhooks, Google Sheets, Airbyte, Keboola, Python, Node.js API

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🔎 Why scrape RepVue?

RepVue is the definitive community-driven intelligence platform for B2B sales organizations. Thousands of Account Executives, SDRs, BDRs, Sales Engineers, and Sales Leaders submit verified evaluations regarding quota attainment, on-target earnings (OTE), leadership transparency, and inbound opportunity volume.

Extracting RepVue data provides unique business intelligence that cannot be found on generic job portals:

1. Compensation & Quota Reality: Traditional review platforms lump sales data with engineering and marketing. RepVue isolates sales compensation, revealing true earning potential and quota attainment feasibility.
2. True Product-Market Fit (PMF): Sales reps know immediately whether a product is easy or nearly impossible to sell. RepVue's PMF score is a leading indicator of company growth and customer retention.
3. Inbound Lead Flow Quality: Distinguish sales teams backed by strong marketing engines from those forced into 100% cold outbound prospecting.
4. Talent Acquisition & Headhunting: Recruit top enterprise sellers from companies with declining culture or compensation scores, or benchmark your own company's offer competitiveness.
5. Venture Capital & Due Diligence: Track sales team morale, hiring velocity (activeJobsCount), and headcount momentum across portfolio candidates.

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📊 RepVue Intelligence vs Traditional Job Platforms

Intelligence Metric	RepVue	Glassdoor / Indeed	LinkedIn Insights
Sales Specificity	100% Sales Org Focused	Blended across all departments	Headcount growth only
Base & Incentive Comp	Detailed standalone category score	Self-reported salary averages	Salary ranges by role
Product-Market Fit (PMF)	Explicit 1–5 metric by reps	Not captured	Not captured
Inbound Lead Velocity	Dedicated inbound opportunity score	Not captured	Marketing headcount proxy
Verified Sales Raters	Verified badge & verified %	Broad email verification	Profile verification only
Executive Leadership Score	Sales leadership specific	Company-wide CEO approval	Leadership tenure
Exportable Comp Table	Structured category attributes	Semi-structured reviews	Aggregate charts

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📊 Key Data Fields & Coverage

Every output item represents a single sales organization with comprehensive ratings and firmographic details normalized as clean strings.

🏢 Identity & Core Ratings

Field	Type	Description	Coverage
slug	string	Canonical RepVue company slug	🟢 High (100%)
name	string	Full official company name	🟢 High (100%)
repvueScore	string	Headline RepVue Score (0 to 100)	🟢 High (98%)
topPercent	string	Percentile ranking (e.g., "5" = top 5%)	🟢 High (95%)
averageRating	string	Overall average rating (out of 5.0)	🟢 High (98%)
ratingsCount	string	Total ratings submitted by sales reps	🟢 High (100%)
reviewsCount	string	Total published community reviews	🟢 High (100%)
verifiedRatingsCount	string	Number of verified sales professional ratings	🟢 High (95%)
verifiedRatingsPercent	string	Percentage of total ratings verified	🟢 High (95%)

📈 Category Breakdown Metrics

Field	Type	Description	Coverage
categoryRatings	string	Formatted key-value pairs of all category scores	🟢 High (98%)
categoryCount	string	Number of evaluated categories available	🟢 High (100%)
hasReviews	string	Boolean indicator whether reviews are present	🟢 High (100%)

Typical categories included in categoryRatings:

• Base Compensation
• Incentive Comp Structure
• Culture & Leadership
• Product-Market Fit
• Inbound Lead / Opportunity Flow
• Professional Development & Training
• Diversity & Inclusion

💼 Firmographics & Recruitment

Field	Type	Description	Coverage
industry	string	Industry classification / vertical	🟢 High (95%)
fundingSource	string	Funding stage (Public, Series A–E, Bootstrapped)	🟢 High (90%)
headcount	string	Last reported employee headcount	🟢 High (95%)
size	string	Company size bucket (e.g., "1,001 - 5,000")	🟢 High (95%)
activeJobsCount	string	Currently open sales positions	🟢 High (90%)
website	string	Official corporate website link	🟢 High (95%)
careersUrl	string	Direct link to career portal	🟢 High (85%)
logo	string	High-resolution logo image asset URL	🟢 High (95%)
description	string	Brief summary of company business model	🟢 High (90%)
companyId	string	Unique persistent RepVue database identifier	🟢 High (100%)
url	string	Full canonical URL to RepVue profile	🟢 High (100%)
scrapedAt	string	ISO timestamp of record capture	🟢 High (100%)

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🎯 Detailed Use Cases & Workflows

1. Sales Compensation & Culture Benchmarking

• Objective: Compare your sales organization's compensation and leadership metrics against direct market competitors.
• Workflow: Input a target list of 20 peer companies. Export results to Excel, rank by repvueScore and individual Base Compensation ratings, and present data to executive leadership during annual compensation reviews.

2. High-Yield Sales Recruitment & Headhunting

• Objective: Identify top Account Executives and SDRs ready to transition to higher-paying or higher-satisfaction organizations.
• Workflow: Discover companies with high employee counts but dropping Inbound Lead Flow or Culture & Leadership scores. Cross-reference those organizations with LinkedIn Sales Navigator to reach out to active sales reps.

3. RevOps Due Diligence for Job Candidates

• Objective: Conduct rigorous due diligence before accepting an enterprise sales offer.
• Workflow: Run the actor on prospective employers. Check topPercent, review verifiedRatingsPercent to ensure score validity, and evaluate Product-Market Fit to verify realistic quota attainment potential.

4. B2B Sales Prospecting & Lead Generation

• Objective: Source enterprise software vendors that are actively scaling their go-to-market teams.
• Workflow: Enable discoverCompanies: true with a limit of 1,000. Filter dataset for companies with activeJobsCount > 10 and fundingSource = "Public" or "Series C+". Feed company websites and career pages directly into outbound sales sequences.

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⚙️ Input Configuration & Parameters

Every input parameter is optional. Running the scraper with default settings executes a fast demonstration run across representative tech sales organizations.

Parameter	Type	Default	Description
companySlugs	array	["anthropic", "toast"]	List of company slugs or full RepVue profile URLs to extract. Slugs are case-sensitive.
discoverCompanies	boolean	false	When true, automatically discovers and extracts companies from the catalog up to maxItems.
maxItems	integer	0	Total maximum companies to scrape across inputs and discovery. 0 = auto/unlimited.
maxConcurrency	integer	4	Parallel request concurrency (recommended: 3–5 for optimal reliability).
proxyConfiguration	object	{"useApifyProxy": true}	Apify Proxy configuration. Datacenter proxies are enabled by default.

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📝 Input Configurations for Common Scenarios

Scenario A: Fast Prefill Run (Demo)

{
  "companySlugs": ["anthropic", "toast"],
  "discoverCompanies": false,
  "maxItems": 50,
  "maxConcurrency": 4
}

Scenario B: Targeted Enterprise Competitor Benchmarking

{
  "companySlugs": [
    "snowflake",
    "databricks",
    "salesforce",
    "hubspot",
    "mongodb",
    "palantir"
  ],
  "discoverCompanies": false,
  "maxItems": 50
}

Scenario C: Deep Universe Discovery (1,000+ Companies)

{
  "companySlugs": [],
  "discoverCompanies": true,
  "maxItems": 1500,
  "maxConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

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📦 Sample Output Record

{
  "slug": "anthropic",
  "name": "Anthropic",
  "repvueScore": "97.73",
  "topPercent": "1",
  "averageRating": "4.89",
  "ratingsCount": "48",
  "reviewsCount": "32",
  "verifiedRatingsCount": "44",
  "verifiedRatingsPercent": "91.67",
  "industry": "Artificial Intelligence; Software",
  "fundingSource": "Series D",
  "headcount": "850",
  "size": "501 - 1,000",
  "activeJobsCount": "18",
  "hasReviews": "true",
  "categoryRatings": "Base Compensation: 4.95; Incentive Comp Structure: 4.88; Culture & Leadership: 4.92; Product-Market Fit: 4.98; Inbound Lead / Opportunity Flow: 4.85; Professional Development: 4.75; Diversity & Inclusion: 4.90",
  "categoryCount": "7",
  "website": "https://www.anthropic.com",
  "careersUrl": "https://www.anthropic.com/careers",
  "logo": "https://ik.imagekit.io/nzy3aotss/repvue-production/logos/anthropic-logo.png",
  "description": "Anthropic is an AI safety and research company that creates reliable, beneficial, and interpretable AI systems including Claude.",
  "companyId": "c914bf82-7f2e-4b91-9e45-1823ab023412",
  "url": "https://www.repvue.com/companies/anthropic",
  "scrapedAt": "2026-11-10T13:38:00.000Z"
}

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💻 Programmatic Usage & API Integration

Trigger runs and retrieve results via the official Apify Client in Python, JavaScript, or direct REST API requests.

Python Integration

from apify_client import ApifyClient

# Initialize client with your Apify API token
client = ApifyClient("YOUR_APIFY_TOKEN")

# Prepare actor input
run_input = {
    "companySlugs": ["elevenlabs", "harvey-ai", "sierra-ai", "cursor"],
    "discoverCompanies": False,
    "maxItems": 50,
    "maxConcurrency": 4
}

# Run actor and wait for completion
run = client.actor("haketa/repvue-scraper").call(run_input=run_input)

# Fetch results from default dataset
for company in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{company['name']} | RepVue Score: {company['repvueScore']} | Headcount: {company['headcount']}")

Node.js / JavaScript Integration

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: 'YOUR_APIFY_TOKEN',
});

const input = {
    discoverCompanies: true,
    maxItems: 250,
    maxConcurrency: 4
};

const run = await client.actor('haketa/repvue-scraper').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();

items.forEach((org) => {
    console.log(`[Score: ${org.repvueScore}] ${org.name} - Jobs: ${org.activeJobsCount} (Industry: ${org.industry})`);
});

Direct REST API Call

curl -X POST "https://api.apify.com/v2/acts/haketa~repvue-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "companySlugs": ["anthropic", "toast"],
    "maxItems": 50
  }'

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🔗 Integrations & Data Pipelines

Seamlessly ingest your RepVue sales compensation dataset into your enterprise software stack:

• Google Sheets: Connect the Apify Google Sheets integration to append newly discovered sales organizations to your executive benchmarking workbook.
• Airtable: Build an interactive sales organization tracker with automatic sorting by repvueScore and Product-Market Fit.
• HubSpot / Salesforce: Enrich existing account lists with accurate headcount, funding stage, and sales team satisfaction scores.
• Make & Zapier: Trigger notifications when target companies experience significant shifts in active sales job openings.
• Snowflake & BigQuery: Stream structured JSON datasets for advanced multi-variable analytics on tech sales retention.

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🛠️ Step-by-Step Getting Started Guide

1. Open the Actor: Navigate to haketa/repvue-scraper on the Apify Store or Console.
2. Select Target Mode:
   • For specific companies: Paste desired company slugs or full URLs into the Company slugs field.
   • For broad discovery: Enable Auto-discover companies and specify your desired maxItems.
3. Configure Concurrency: Leave at the default 4 (or adjust between 3 and 5 for optimal stability).
4. Click Start: Hit the green Start button in the Console.
5. Download Your Dataset: Once completed, navigate to the Dataset tab and export your records as CSV, Excel, or JSON.

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💡 Best Practices & Pro Tips

• Check Rating Verification: Weigh scores with high verifiedRatingsPercent more heavily than scores derived from a small number of unverified ratings.
• Compare Category Deltas: A company may boast an overall 90+ repvueScore while suffering from a mediocre Inbound Lead Flow rating. Inspect the categoryRatings string to identify operational friction points.
• Leverage Discovery Mode: When researching a specific vertical without prior company knowledge, enable discoverCompanies: true with maxItems: 500 to quickly map the entire competitive landscape.
• Rate Limit Consideration: Keep maxConcurrency set between 3 and 5 to ensure consistent high-speed throughput without triggering network throttling.

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❓ Frequently Asked Questions

How many companies can I scrape in a single run?

You can scrape thousands of companies per run. With maxItems: 0 (or maxItems: 1000+) and discoverCompanies: true, the actor walks through RepVue's comprehensive catalog of over 11,000 sales organizations.

What does the RepVue Score represent?

The RepVue Score is a proprietary 0–100 index calculating overall sales organization health based on verified compensation, culture, quota attainment, and lead flow ratings.

Can I paste full RepVue URLs instead of slugs?

Yes. Both short slugs (e.g., toast) and full URLs (e.g., https://www.repvue.com/companies/toast) are automatically recognized and normalized.

Do I need dedicated residential proxies?

No. Standard Apify datacenter proxies are enabled by default and are completely sufficient for typical runs. Residential proxies can optionally be enabled for massive multi-thousand company sweeps.

What happens if a company slug does not exist?

If an invalid or misspelled slug is provided, the actor logs a warning and proceeds with the rest of the queue without interrupting execution.

What export formats are supported?

You can export results directly from the Apify Console as JSON, CSV, Excel (XLSX), XML, or HTML Table.

How often are company ratings updated on RepVue?

RepVue aggregates user reviews on a continuous, rolling basis. Because this scraper extracts live page payloads at execution time, your dataset reflects the exact real-time ratings, active job counts, and headcount metrics published on RepVue at the moment of your run.

Does this scraper extract individual textual reviews?

The scraper prioritizes structured, quantitative intelligence: headline scores, detailed category metrics, rating counts, verified rater percentages, and firmographics. This structure ensures clean tabular exports for instant CSV/Excel analysis without parsing thousands of multi-paragraph text reviews.

Can I schedule recurring daily or weekly monitoring runs?

Yes! Use Apify's built-in Scheduler to automatically run this actor on a daily, weekly, or monthly basis. You can track changes in repvueScore, monitor employee headcount growth, and receive notifications when a competitor posts new sales positions.

How does deduplication work?

The actor tracks company slugs in an internal memory index during each execution. Even if a company appears in both your custom companySlugs list and the automatic discovery sweep, it is processed and written to the dataset only once.

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📋 Changelog

v1.2 — 2026-11

• Deep Pagination Unlocked: Removed restrictive 5,000 maximum caps and unlocked unrestricted maxItems: 1,000+ company sweeps.
• Fast Prefill Execution: Optimized default prefill parameters to execute clean sample runs in under 30 seconds.
• Enhanced Schema Compliance: Added "buildTag": "latest" to actor specifications and standardized all output properties to typed string values.
• Extended Documentation: Added comprehensive field matrices, multi-platform comparison tables, and full SDK code samples.

v1.1 — 2026-10

• Added automated sitemap-driven universe discovery for 11,000+ companies.
• Added verified rating volume and verified percentage metrics.
• Added direct ImageKit logo URL resolution.

v1.0 — 2026-10

• Initial production release.
• Extraction of RepVue Score, category ratings, headcount, funding, and career links.