LinkedIn Jobs Scraper

What does LinkedIn Jobs Scraper do?

LinkedIn Jobs Scraper extracts job listings from LinkedIn's public job search API. It returns job titles, companies, locations, salaries, application counts, and full job descriptions from LinkedIn's public guest listings without requiring login or cookies.

Built for recruiters tracking hiring, job seekers collecting openings, and analysts studying the job market.

Price: $0.00005 per run started, plus $0.0009–$0.0015 per accepted job, depending on your Apify plan; FREE-plan jobs cost $0.0015 each ($1.50 per 1,000). Pricing snapshot: 13 November 2026, 04:16 UTC. Platform/proxy charges, where applicable, are separate; see Pricing.

Why use LinkedIn Jobs Scraper?

• No login required — scrapes LinkedIn's public guest job search API
• Comprehensive data — extract titles, companies, locations, salaries, descriptions, seniority levels, job types
• Flexible filtering — search by keywords, location, experience level, work type, posting date
• Bulk operations — scrape hundreds of job listings in a single run
• API access — integrate job data into your applications, dashboards, and workflows via the Apify API
• Scheduled runs — automate job monitoring and alert systems

How to use LinkedIn Jobs Scraper

1. Open the Actor on the Apify platform or via API
2. Set search parameters:
   • Enter job title(s) or keywords (e.g., "software engineer", "data analyst")
   • Specify location(s) (e.g., "United States", "Germany")
   • Optionally filter by experience level, work type (remote/onsite/hybrid), posting date
3. Configure options:
   • Set maximum jobs to scrape (1-1000, default 25)
   • Enable/disable job descriptions (impacts run time and cost)
   • Choose proxy mode (auto/always/never)
4. Run the Actor — results are saved to the dataset
5. Download or integrate results in JSON, CSV, Excel, or other formats

Input parameters

Parameter	Type	Required	Description
keywords	string	No	Job title or skills, e.g. "data analyst". Several searches: "python; golang". Aliases accepted: keyword, query.
location	string	No	City, region or country, e.g. "Austin, TX". Empty = worldwide.
locations	array	No	Extra locations for the same search, e.g. ["London", "Manchester"].
datePosted	string	No	Filter: past24h, pastWeek, pastMonth, or leave empty for all
workType	array	No	Filter by: onsite, remote, hybrid
experienceLevel	array	No	Filter by level: internship, entry_level, senior, manager, etc.
jobType	array	No	Filter by: full-time, part-time, contract, temporary, internship, volunteer
titleIncludes	array	No	Keep only jobs whose title contains one of these words or phrases, e.g. ["data analyst", "bi"]. Case-insensitive, whole words.
titleExcludes	array	No	Drop jobs whose title contains one of these words, e.g. ["senior", "staff", "intern"]. Case-insensitive, whole words; Sr. is not senior, so list both if needed.
excludeCompanies	array	No	Drop jobs from these companies, e.g. ["Deloitte"]. Whole-name match, case-insensitive.
externalApplyOnly	boolean	No	Return only jobs that apply on the company's own site. Fetches the detail page for each candidate.
maxJobs	number	No	Maximum jobs to scrape (default 25, max 1000)
includeDescription	boolean	No	Fetch full job descriptions (default true; costs more, takes longer)
searchUrls	array	No	Paste LinkedIn job search URLs; parameters are extracted and applied
proxyMode	string	No	auto (direct first), always (residential), or never (default: auto)

Output

Each job is returned as a single JSON object:

{
  "jobId": "4465379983",
  "url": "https://www.linkedin.com/jobs/view/4465379983",
  "title": "Senior Software Engineer - Python",
  "company": "Venmo",
  "companyUrl": "https://www.linkedin.com/company/venmo",
  "location": "Austin, TX",
  "postedAt": "2026-09-10",
  "postedText": "2 weeks ago",
  "salary": "$120,000 - $150,000",
  "applicants": 163,
  "seniority": "Senior",
  "employmentType": "Full-time",
  "jobFunction": "Software Development",
  "industries": ["Technology", "Software Development"],
  "description": "We are seeking a senior Python engineer...",
  "descriptionHtml": "<p>We are seeking a senior Python engineer...</p>",
  "easyApply": true,
  "keyword": "software engineer",
  "searchLocation": "United States",
  "scrapedAt": "2026-09-28T10:30:45.123Z"
}

You can download the dataset in JSON, CSV, Excel, HTML, or other formats directly from the platform.

Data fields

Field	Description
jobId	LinkedIn job posting ID
url	Direct link to the job on LinkedIn
title	Job position title
company	Hiring company name
companyUrl	Link to company's LinkedIn profile
location	Job location
postedAt	Job posting date (ISO format)
postedText	Relative time text (e.g., "2 weeks ago")
salary	Pay range written in the posting text (e.g. $143,500.00 - $212,850.00 Annually), copied as written. LinkedIn's public pages have no structured salary field, so this is null for postings that state no pay range.
applicants	Number of applicants (if shown)
seniority	Required seniority level
employmentType	Full-time, Part-time, Contract, etc.
jobFunction	Primary job category (null when LinkedIn does not show it on the posting)
industries	Industry categories, as a list (null when not shown)
description	Full job description (plain text)
descriptionHtml	Job description with HTML markup
applyType	external (Apply on the company site) or null; the public job page rarely shows a LinkedIn Easy Apply marker, so easyApply is reported only when it does
applyUrl	The company's application link, only when the posting markup carries one that leaves LinkedIn (often null)
easyApply	true when applyType is easyApply
keyword	Search keyword used to find job
searchLocation	Location parameter in search
scrapedAt	Timestamp when job was scraped

Pricing

The recorded Apify pricing snapshot from 13 November 2026 at 04:16 UTC lists a $0.00005 start event per run, plus an event for each accepted job written to the default dataset:

Apify plan	USD per accepted job	USD per 1,000 accepted jobs, excluding start fee
FREE	$0.0015	$1.50
BRONZE	$0.0012	$1.20
SILVER	$0.00105	$1.05
GOLD / PLATINUM / DIAMOND	$0.0009	$0.90

These are plan-specific event rates, not a claim that collecting more rows automatically changes your rate. Check the Actor Pricing tab for current terms. This documentation update does not change prices.

Rejected / unknown candidates are never written to the default dataset, so they do not create a default-dataset job event. The start event still costs $0.00005 when a started run returns zero accepted jobs. Verifying criteria requires detail requests even if includeDescription is false; fewer returned jobs does not mean fewer requests or guaranteed lower compute/proxy cost.

Verified filters and result quality

LinkedIn may ignore the experience, employment and workplace parameters in its guest search. This Actor checks returned job details before writing results:

• experienceLevel: the labelled Seniority level. mid_level and senior accept LinkedIn's combined Mid-Senior level; manager requires an explicit Manager label. It does not infer seniority from a job title.
• jobType: the labelled Employment type.
• workType: an explicit workplace criterion or location label, such as Berlin (Remote). A city, a mention of remote customers in the description, or a remote-sounding title is not proof. Missing or contradictory labels are unknown and excluded.
• Multiple values within a criterion mean OR; different criteria mean AND. Unsupported values fail before fetching. The same checks apply to filters parsed from searchUrls.

Accepted jobs include filterEvidence, with the normalized value and source field for each requested criterion. Existing unfiltered rows retain their fields. OUTPUT in the default key-value store reports status (ok, empty, partial, or failed), resultRows, filteredOut, criteriaOut, criteriaUnknown, criteriaReasons and searchErrors. Reason counters can overlap; filteredOut counts each rejected candidate once. Diagnostics are not paid result rows. Counters cover the current process attempt, not an inferred migration-wide total. Repeated search pages stop pagination with a diagnostic; non-empty responses with no recognised job cards are treated as failed/partial, not genuine empty results.

A strict query can legitimately return zero jobs. This means no candidates could be verified within the searched pages; it does not prove that no such jobs exist. Guest pages can be blocked, omit labels, or change layout. No login or cookies are used.

{
  "keywords": "data analyst",
  "location": "United States",
  "experienceLevel": ["entry_level"],
  "jobType": ["contract"],
  "includeDescription": false,
  "maxJobs": 25
}

Local adversarial fixtures exercise the actual parsers and production runner, including ignored server filters, unknown criteria, budget limits and failed writes. A public guest-page check on 12 November 2026 returned the same first 10 job IDs with and without entry-level/contract hints; all three sampled detail pages contradicted the requested criteria. This is evidence for the extra validation, not a benchmark against a competing Actor or a guarantee about every search.

Documented alternatives

This comparison is limited to finding public job postings for the same role/location and reading one posting's details; automated dataset rows and manually viewed postings are distinguished below. Competitor cells describe their developers' Apify pages, checked on 13 November 2026; they are not independently tested output guarantees. Valig was also identified as a relevant alternative in the supplied 11 November 2026, 23:33 UTC scorecard. No comparative runtime, accuracy, savings or 2× result was measured here.

Comparable capability	WebDataTools	Curious Coder	Bebity	Valig	LinkedIn Basic — manual alternative
Search input	Keywords/location or LinkedIn search URLs (.actor/input_schema.json)	Search URLs or structured filters; URLs take precedence (README)	Search URLs or job-title/location filters (README)	Keywords and location, with optional filters and URL parameters (input table)	Enter a job query and location in the Jobs interface (official search guide)
Core job fields	Job ID, URL, title, company and location (.actor/dataset_schema.json)	Job ID, link, title, company name and location (field table)	Job postings with company details and location (documented output)	ID, URL, title, company name and location in each dataset item (output example)	Read individual postings in the browser; this manual workflow does not produce a structured dataset row (official search guide)
Job description	Optional description text and HTML (.actor/input_schema.json, .actor/dataset_schema.json)	Description text and HTML listed (field table)	Full description advertised (README)	Description text and HTML listed (output example)	Open the posting to read its description manually (official search guide)

Free alternative terms, checked 13 November 2026: LinkedIn's official Basic/Premium comparison lists a free account for basic job searching and access to job postings: $0 platform fee for this Basic manual-search scenario, without a Premium trial or subscription. Use a Basic account and sign in as required; unrestricted guest access is not guaranteed. Manual reading/copying takes your time, and your device/internet costs remain; this browser-only workflow needs no self-hosted scraper server. It is not a free bulk-export API. Premium features and automated Actor runs are outside this zero-platform-fee scenario.

Error codes and run deadlines

ERRORS is a key-value-store record, never a paid dataset row. Every entry has a stable errorCode and human-readable error. Existing context (keyword, location, start) remains where applicable; the older layout-error code field is retained.

errorCode	Meaning	Action
SEARCH_FETCH_FAILED	A search page could not be fetched after the bounded retries.	Inspect access/proxy settings and retry a smaller query.
SEARCH_LAYOUT_UNRECOGNISED	A non-empty page contained no recognised job cards.	Inspect the source response; do not interpret it as no jobs.
SEARCH_PAGE_REPEATED	Pagination returned already-seen job IDs.	Use the partial results; narrow the query before retrying.
RUN_TIMEOUT	The run reached its work deadline.	Use any partial results or increase the run timeout in platform run options.
RUN_ABORTED	The platform emitted an abort event.	Inspect the run status before restarting.

The runner logs timeoutAt, its source, and a five-second closing reserve. It first uses the SDK's ACTOR_TIMEOUT_AT value; if unavailable, it derives the deadline from the current run's startedAt and options.timeoutSecs. If these cannot provide a finite limit (including an unlimited timeout), the packaged defaultRunOptions.timeoutSecs (3600 seconds) supplies a finite safety limit. Reading current run options is itself limited to three seconds. No Actor input parameter is added.

Work stops five seconds before that deadline. Requests, response reads, waits and result writes are bounded; aborting cancels requests and prevents subsequent result writes. Diagnostics and SDK shutdown share a five-second allowance. A stuck closing operation rejects rather than reporting a completed run. A result write already sent to storage may have an uncertain outcome if interrupted; it is never retried by this logic.

OUTPUT retains status, reason, resultRows, filteredOut, per-filter counters and searchErrors. reason explains a zero-result outcome. searchErrors counts ERRORS entries, including run-level interruption. No new dataset fields or pricing changes are introduced. Empty searches and fully filtered searches finish with a terminal explanation; inaccessible searches with zero accepted rows fail. Interruption after accepted rows produces partial diagnostics. An external platform abort can still leave the platform run status ABORTED. Invalid input remains FAILED. Only accepted rows are sent to the default dataset; diagnostics do not create job events. Existing start fees and platform/proxy costs can still apply.

JavaScript, Python and CLI examples

These examples each execute a small cloud run and can incur the existing charges. They are alternative invocations, not a sequence to run together. Supply your own APIFY_TOKEN through your environment; never put it in source control. Check run diagnostics as well as returned rows. The synchronous endpoint can time out while the cloud run continues; inspect the existing run in Console before retrying.

JavaScript (Node.js with built-in fetch):

const response = await fetch(
  'https://api.apify.com/v2/acts/webdatatools~linkedin-jobs-scraper/run-sync-get-dataset-items',
  {
    method: 'POST',
    headers: {
      Authorization: `Bearer ${process.env.APIFY_TOKEN}`,
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({ keywords: 'data analyst', location: 'United States', maxJobs: 2 }),
  },
);
if (!response.ok) throw new Error(`Actor request failed: ${response.status}`);
console.log(await response.json());

Python (standard library):

import json
import os
import urllib.request

request = urllib.request.Request(
    'https://api.apify.com/v2/acts/webdatatools~linkedin-jobs-scraper/run-sync-get-dataset-items',
    data=json.dumps({'keywords': 'data analyst', 'location': 'United States', 'maxJobs': 2}).encode(),
    headers={
        'Authorization': 'Bearer ' + os.environ['APIFY_TOKEN'],
        'Content-Type': 'application/json',
    },
    method='POST',
)
with urllib.request.urlopen(request, timeout=310) as response:
    print(json.load(response))

CLI (curl; HTTP failures return a non-zero exit code):

curl --fail-with-body --silent --show-error \
  'https://api.apify.com/v2/acts/webdatatools~linkedin-jobs-scraper/run-sync-get-dataset-items' \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  --data '{"keywords":"data analyst","location":"United States","maxJobs":2}'

MCP usage

Connect an MCP client to the official Apify server at https://mcp.apify.com using its supported authentication flow. Tool availability depends on the connection and Actor permissions. Use this concrete prompt in that connected client:

Use Apify MCP to fetch the details of webdatatools/linkedin-jobs-scraper.
Using the execution tool exposed by this connection, run that exact Actor once with:
{"keywords":"data analyst","location":"United States","maxJobs":2,"includeDescription":true}
Read the returned run's default dataset and OUTPUT/ERRORS records.
Report the job titles and URLs, plus whether the result is ok, empty, partial or failed.
If execution is unavailable, report that limitation; do not substitute another Actor.
Do not repeat a timed-out call without checking the existing run.

This is a cloud execution request, not a free local preview or evidence that this Actor has passed live MCP acceptance.

Tips and advanced options

• Batch searches: Combine multiple keywords and locations in one run to reduce startup costs
• Disable descriptions: If you only need job titles and companies, turn off descriptions to skip detail requests when no criterion or apply-route filter requires them
• Use search URLs: Paste a LinkedIn job search URL with complex filters instead of manually entering parameters
• Proxy mode: Use auto mode (default) for cost efficiency; switch to always if direct requests are blocked
• Scheduling: Run the Actor daily to monitor new jobs or track hiring trends

Limitations

• Public data only — scrapes publicly visible guest job listings; does not use login or cookies
• Search cap — LinkedIn caps search results at approximately 1,000 jobs per query
• Some fields optional — salary and applicant counts only appear when LinkedIn displays them
• Refresh delays — job data may lag by a few hours after posting
• Rate limiting — LinkedIn may throttle requests during high-volume scraping (handled with proxy escalation)
• Regional restrictions — some job listings may be region-locked and not available via guest API

Legal notice

This tool scrapes publicly available data from LinkedIn's guest job search API. Users are responsible for ensuring compliance with:

• LinkedIn's Terms of Service
• LinkedIn's Acceptable Use Policy
• Local data protection laws (GDPR, CCPA, etc.)

Do not:

• Scrape private profile information
• Bypass authentication or access restrictions
• Use data for discriminatory purposes
• Violate LinkedIn's terms or local laws

The data returned is public information and the user assumes full responsibility for its use.

FAQ

Q: How much will a run cost? A: The listed Actor event subtotal is $0.00005 + accepted job count × your plan's per-job rate. For 100 accepted jobs, FREE is $0.00005 + 100 × $0.0015 = $0.15005; SILVER is $0.00005 + 100 × $0.00105 = $0.10505; GOLD/PLATINUM/DIAMOND is $0.00005 + 100 × $0.0009 = $0.09005. These examples exclude any separately applicable platform/compute and proxy costs, which depend on the run and billing terms. They are not guaranteed all-in totals.

Q: Do zero results or rejected jobs cost anything? A: Zero accepted jobs means zero job-result events, but the $0.00005 run-start event remains. Rejected or unknown candidates do not create accepted-job events. Fetching and checking them can still consume compute and proxy traffic; those costs are separate from the event subtotal. Strict filters or disabled descriptions do not guarantee savings.

Q: Does this require a LinkedIn account? A: No. It uses LinkedIn's public guest job search API, same as anyone can access in a browser without logging in.

Q: Can I scrape millions of jobs? A: LinkedIn's search results are capped at ~1,000 jobs per query. For multiple queries, batch them together in a single run.

Q: How do I get job descriptions? A: Enable the "Include job descriptions" option in the input. This fetches the detail page for each job (additional cost).

Q: What if I get blocked? A: The Actor handles blocks automatically in auto mode by escalating to residential proxies. A proxy can still be blocked; no mode guarantees access.

Q: Can I filter by salary range? A: Not directly in the input schema, but LinkedIn's job listings include salary data when available. Filter results post-scrape.

Q: How often can I run this? A: No built-in limits. Schedule daily runs, hourly checks, or bulk one-time scrapes as needed.

Integrations

• n8n — Automate job alerts and notifications
• Make/Zapier — Pipe jobs into your CRM or email
• Google Sheets — Use the Apify Google Sheets integration to append jobs to a spreadsheet
• Slack — Send new job alerts to your team

Related Actors

Part of the webdatatools web-intelligence suite — every Actor is pay-per-event, reads public data without a login, and returns one clean row per entity:

Browse the whole suite at webdatatools, or call ten of these Actors straight from Claude, Cursor or Cline with the webdatatools MCP server.

Website & domain intelligence

• Email Extractor — Website Contact & Social Finder — e-mails, phones and social profiles per domain
• Tech Stack Detector — Wappalyzer & BuiltWith Alternative — CMS, e-commerce, analytics, pixels and payments per domain
• Domain DNS & Email Security Checker — SPF, DKIM, DMARC, MX provider, registrar and domain age
• Domain Security Audit (TLS, HTTP headers, redirects, robots) — TLS expiry, security headers, redirect chain, robots and llms.txt
• Subdomain Finder (Certificate Transparency) — every subdomain seen in CT logs, with a live DNS check
• Bulk Core Web Vitals & PageSpeed Audit — Lighthouse scores, LCP, CLS, INP and top fixes per URL
• On-Page SEO Audit — title, meta, headings, links, images and schema issues per page
• Sitemap URL Extractor & Change Monitor — every sitemap URL, or new and removed pages between runs
• Wayback Machine Snapshot & Page Change Tracker — how a page changed over time, or every archived snapshot
• Bulk Domain WHOIS & RDAP Lookup — registrar, dates, status and nameservers per domain
• Web Scraper — CSS Selector & Data Extractor — pull any CSS selector off any page, one row per URL
• Website Screenshot Generator — full-page or viewport PNG/JPEG screenshots of any URL

Content for AI, LLMs and RAG

• AI Web Search & Read: Google results as clean Markdown — a query turned into clean Markdown from the top search results
• Website to Markdown — Content Crawler for LLM & RAG — any site as clean Markdown per page, no browser
• llms.txt Generator (Website to llms.txt & llms-full.txt) — llms.txt and llms-full.txt for any website or docs site
• PDF to Markdown Converter (Text, Headings, Metadata) — PDF files to clean Markdown with headings, metadata and token counts
• RAG Text Chunker (Markdown to Chunks, Token Counts) — heading-aware RAG chunks with exact GPT token counts from any dataset
• Article & News Extractor (clean text, author, date, markdown) — clean article text, author, date and Markdown per URL
• Structured Data & JSON-LD Extractor (Schema.org, Open Graph) — Schema.org and Open Graph data from any page
• Google News Scraper (RSS search by keyword, topic, site) — news results by keyword, topic or site
• Press Release Monitor: PR Newswire, BusinessWire, GlobeNewswire — PR Newswire, Business Wire and GlobeNewswire releases

Search, video and social

• YouTube Shorts Scraper — Shorts from channels, hashtags and searches with view counts
• Pinterest Pins Scraper — latest pins of public Pinterest profiles and boards
• YouTube Transcript Scraper — captions and subtitles as text + timed segments, per video or channel
• Google Search Results Scraper — SERP API — organic SERP results per keyword and country
• YouTube Comments Scraper — Comments & Replies — comments and replies with likes, no API key
• YouTube Channel Latest Videos (RSS, no API key) — the latest 15 videos of any channel from RSS
• YouTube Channel Scraper (videos, shorts, live) — a channel's full video, shorts and stream list
• YouTube Search Results Scraper (videos, channels, no API key) — videos, channels and playlists per query
• YouTube Video Details Scraper (views, likes, description, tags) — views, likes, description, tags and chapters per video
• Apple Podcasts Lookup & Episodes Scraper — podcast metadata and episodes from iTunes and RSS
• Bluesky Post, Search & Profile Scraper — posts, profiles, followers and threads from the AT Protocol API
• X Tweet Scraper (Twitter Posts by URL, No Login) — X (Twitter) posts by URL with likes, replies, author, media and MP4 links
• TikTok Profile Scraper (Followers, Likes, Bio, Video Stats) — TikTok profiles with exact follower and like counts, plus video stats
• Telegram Channel Posts Scraper — posts, views and media flags from any public channel
• Substack Publication & Posts Scraper — archive, authors and paywall status per publication
• Google Play Reviews Scraper — reviews, ratings, replies and app versions per app
• App Store Reviews Scraper — iOS reviews and ratings per app and country
• Trustpilot Reviews Scraper (Ratings, Replies, No Login) — Trustpilot reviews with stars, full text, verification and company replies
• Google Trends Scraper — interest over time, by region, and related queries per keyword
• Google Ads Transparency Scraper — ads any advertiser runs on Google, with format and dates
• Keyword Suggestions Scraper (Google, YouTube, Amazon, Bing) — autocomplete keyword ideas from four search engines
• Bilibili Scraper (Videos, Search, Popular) — Chinese video platform: views, likes, coins, danmaku, uploader
• Mastodon Scraper (Hashtags, Accounts, Trending) — public fediverse posts by hashtag, account or trending
• Meetup Events Scraper (Search by Keyword & City) — upcoming events with RSVPs, fees, venues and groups
• Eventbrite Scraper (Events by Keyword & City) — events by keyword and city with venue, dates and organizer

Leads, jobs and company data

• Career Site Jobs API (Greenhouse, Lever, Ashby, Workday +1) — company domains in, their open jobs out, ATS detected automatically
• Workday Jobs Scraper — jobs with full descriptions from any Workday career site
• Google Maps Scraper — businesses with phone, website, address, rating and coordinates per search
• 2GIS Places Scraper (Phones, Websites, Ratings, Hours) — 2GIS businesses in Russia, Kazakhstan, UAE and more with phones, website, rating and hours
• Company 360: full company profile from a domain — one row per domain: contacts, tech, security, hiring and company facts
• Hiring Signals Scraper (Greenhouse, Lever, Ashby, Workable) — open jobs and hiring velocity from 10 public ATS boards
• Y Combinator Companies & Founders Scraper — YC startups by batch, industry and hiring status
• Wikidata Entity & Company Enrichment (facts, IDs, links) — HQ, founders, employees, revenue and social IDs per company
• Email Validator & Verifier — Bulk Email Check — syntax, MX, disposable, role and free-provider checks
• OpenStreetMap POI Extractor (Overpass API: shops, amenities) — shops and amenities by radius, bbox or area
• Stock, Crypto & FX Quotes — one row per symbol from Yahoo, Binance and ECB rates
• Yahoo Finance Scraper (Quotes, Fundamentals, Financials, News) — Yahoo Finance fundamentals, analyst targets, financial statements, ownership, news and history per ticker
• DexScreener Scraper (DEX Pairs, Prices, Liquidity, Boosts) — DEX pairs with price, volume, liquidity, FDV and boosted tokens across chains
• Polymarket Scraper (Prediction Markets, Odds, Volume) — Polymarket markets and events with outcome prices, volume and liquidity
• StockTwits Scraper (Messages, Sentiment, Trending) — StockTwits messages with Bullish/Bearish sentiment and trending symbols
• Economic Calendar Scraper (Forex Events, Impact, Forecasts) — This week's macro events with impact, forecast and previous values
• Crypto Fear & Greed Index — Daily Crypto Fear & Greed Index values with full history
• Remote Jobs Aggregator (RemoteOK, WWR, Hacker News) — one clean row per remote job, de-duplicated across feeds
• Greenhouse Jobs Scraper — jobs with descriptions from any Greenhouse job board
• Lever Jobs Scraper — jobs with descriptions from any Lever careers page
• Ashby Jobs Scraper — jobs, salaries and descriptions from any Ashby job board
• SmartRecruiters Jobs Scraper — jobs with descriptions from any SmartRecruiters company
• Seek Jobs Scraper (Australia & New Zealand) — Seek job ads with salary, work type and location
• Dice Jobs Scraper — US tech jobs from Dice with salary and remote flag
• AutoScout24 Scraper — European car listings with price, mileage and seller
• Rightmove Scraper — UK property for sale or rent with price and agent
• Wellfound Jobs Scraper (AngelList Startup Jobs) — startup jobs with salary and equity ranges, company size and stage
• Yandex Maps Scraper (Places, Ratings, Phones) — businesses in Russia, Türkiye and the CIS with phones, ratings, hours
• Craigslist Scraper (Listings, Prices, Locations) — listings in any area and category with price, date and coordinates
• JobStreet Scraper (Malaysia, Singapore, PH, ID + JobsDB) — JobStreet and JobsDB jobs in 6 Asian countries with parsed salaries
• InfoJobs Scraper (Spain Jobs, Salaries, Companies) — Spanish jobs with salary range, contract type and full description
• StepStone Scraper (Germany, Austria, Belgium Jobs) — StepStone jobs in Germany, Austria and Belgium by keyword and city
• Naukri Jobs Scraper (Salary, Skills, Company Rating) — Naukri.com jobs in India with salary range, experience, skills and company rating
• Zillow Scraper (Homes for Sale, Rent & Sold, Zestimates) — Zillow homes for sale, rent or sold with Zestimates, beds, baths and photos
• Zillow Home Details Scraper (Description, Photos, History) — full Zillow property pages: description, photos, HOA, tax rate, agent
• Redfin Scraper (Homes for Sale, Prices, Details) — US homes for sale or sold from any Redfin search, with price and details
• Kleinanzeigen Scraper (Ads, Prices, Locations) — German classifieds with price, VB flag, ZIP, city and seller type

Developer, app and research data

• npm, PyPI & Crates.io Package Health Checker — releases, downloads, deprecation and a health score
• GitHub Repository Health & Activity Report — stars, commits, contributors and risk flags per repo
• VS Code Marketplace Extension Scraper (installs, ratings) — installs, ratings and versions per extension
• Chrome Web Store Extension Scraper (installs, ratings) — users, rating, version and developer per extension
• Google Play Scraper — apps, ratings, installs, developer contact and reviews
• App Store (iOS) App Metadata, Ratings & Top Charts Lookup — ratings, price, version and charts per app
• CrossRef DOI & Citation Metadata Lookup — papers, authors, journals and citation counts
• FDA Recalls & Adverse Events Monitor (openFDA) — food, drug and device recalls from openFDA
• iCal / ICS Calendar Feed to Events Extractor — any public calendar feed as event rows
• Shopify Store Products Scraper — catalog, prices, variants and stock per store
• Hacker News Search & Front Page Scraper — stories, comments and points by query or front page
• GitHub Trending Repositories Scraper — trending repos and developers by language and period
• Stack Overflow & Stack Exchange Q&A Scraper — questions, answers and scores by query, tag or site
• Bulk Image Downloader — download image URLs to storage with size, dimensions and a ZIP
• Google Flights Scraper (Prices, Airlines, Stops) — flight prices, airlines, times, stops and CO2 by route and date
• Google Hotels Scraper (Prices, Ratings, Reviews) — hotel prices per night, stars, rating and reviews by city and dates
• Booking.com Scraper (Hotel Prices, Ratings, Availability) — Booking.com hotels for any city and dates with prices, scores and deals
• Airbnb Scraper (Listings, Prices, Ratings, Coordinates) — Airbnb stays for any city and dates with prices, ratings and coordinates
• AliExpress Scraper (Search Products & Prices) — AliExpress search results with USD price, discount and rank
• Lazada Scraper (Products, Prices, Sold, Ratings) — Lazada products in 6 countries with price, rating, units sold and seller
• Trendyol Scraper (Turkey Products, Prices, Ratings) — Trendyol products with price, basket discount, rating and promotions

Support

Found a bug? Have questions? ../../issues or visit the Apify community forum.

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