Wellfound Scraper

What does Wellfound Scraper do?

Wellfound Scraper extracts structured job data from wellfound.com — including salary data, contact details, company metadata, full descriptions, remote-work indicators, and location data. It supports location filters and controllable result limits, so you can run the same query consistently over time. The actor also offers incremental monitoring that only returns new or changed results on recurring runs and a compact output mode for AI-agent and MCP workflows.

What data can you extract from wellfound.com?

Each result includes Core listing fields (id, title, slug, portalUrl, compensation, salaryMin, salaryMax, and salaryEquityMin, and more), detail fields when enrichment is enabled (detailUrl, description, primaryRoleTitle, and jobBenefits), contact and apply information (directApply), and company metadata (companyId, companySlug, companyName, and companyLogo). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Input

The main inputs are an optional location filter and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• roles — Job role slugs to scrape. Defaults to all 12 supported roles.
• location — Filter by location slug, e.g. new-york, san-francisco, los-angeles.
• remote — When true, scrapes the remote-filtered URL (/role/r/{role}). (default: false)
• maxResults — Maximum total job listings to return across all roles (0 = unlimited). (default: 100)
• maxPages — Maximum SERP pages to scrape per role (each page has ~42 jobs). (default: 10)
• enrichDetail — Fetch each job detail page for structured salary (min/max/currency/period), company website, industry, benefits, and geolocation. (default: false)
• descriptionMaxLength — Truncate job description to this many characters. 0 = no truncation. (default: 0)
• compact — Output only core fields (id, title, companyName, portalUrl, locationNames, remote, compensation, postedAt). For AI-agent/MCP workflows. (default: false)
• incrementalMode — Compare against previous run state. Only emits NEW and UPDATED jobs. Requires stateKey. (default: false)
• stateKey — Stable identifier for the tracked search universe (e.g. 'us-software-remote'). Required when incrementalMode is true.
• emitUnchanged — When incremental, also emit records that have not changed since last run. (default: false)
• emitExpired — When incremental, also emit records no longer found (job removed or expired). (default: false)

Input example

{
  "remote": false,
  "maxResults": 25,
  "maxPages": 10,
  "enrichDetail": false,
  "descriptionMaxLength": 0,
  "compact": false,
  "incrementalMode": false,
  "emitUnchanged": false,
  "emitExpired": false
}

Output

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

Example job record

{
  "id": "3817329",
  "title": "Data Analyst",
  "slug": "data-analyst",
  "portalUrl": "https://wellfound.com/jobs/3817329-data-analyst",
  "detailUrl": "https://wellfound.com/jobs/3817329-data-analyst",
  "compensation": "$110k – $134k",
  "salaryMin": 110000,
  "salaryMax": 134000,
  "salaryEquityMin": null,
  "salaryEquityMax": null,
  "description": " \n\n### **About You and The Role** \n\nZipline is on a mission to transform how goods move by making autonomous drone delivery the fastest, most reliable, and most delightful logistics system in the worl...",
  "jobType": "full-time",
  "postedAt": "2026-03-23T21:17:38.000Z",
  "locationNames": [
    "South San Francisco"
  ],
  "remote": false,
  "remoteKind": null,
  "wfhFlexible": false,
  "acceptedRemoteLocations": [],
  "yearsExperienceMin": null,
  "yearsExperienceMax": null,
  "atsSource": "AtsIntegration::Greenhouse::Listing",
  "autoPosted": false,
  "primaryRoleTitle": "Data Analyst",
  "companyId": "3100353",
  "companySlug": "zipline-international-1",
  "companyName": "Zipline",
  "companyLogo": "https://photos.wellfound.com/startups/i/3100353-b9dc0f9a070af26296fbaf58f37d624f-medium_jpg.jpg?buster=1680554415",
  "companyTagline": "Our mission is to create the global logistics system that serves all humans equally",
  "companySize": "SIZE_501_1000",
  "salaryCurrency": null,
  "salaryPeriod": null,
  "companyWebsite": null,
  "industry": null,
  "directApply": null,
  "datePosted": null,
  "jobBenefits": null,
  "jobAddressLocality": null,
  "jobAddressRegion": null,
  "jobAddressCountry": null,
  "latitude": null,
  "longitude": null,
  "changeType": null,
  "trackedHash": null,
  "firstSeenAt": null,
  "lastSeenAt": null,
  "previousSeenAt": null,
  "expiredAt": null,
  "stateKey": null,
  "source": "wellfound",
  "scrapedAt": "2026-04-03T09:42:02.193Z"
}

How to scrape wellfound.com

1. Go to Wellfound Scraper in Apify Console.
2. Configure the input and optional location filter.
3. Set maxResults to control how many results you need.
4. Click Start and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from wellfound.com for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Build outreach lists using contact details and apply URLs from listings.
• Research company hiring patterns, employer profiles, and industry distribution.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape wellfound.com?

Wellfound Scraper uses 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 result: $0.001 per job record

Example costs:

• 10 results: $0.01
• 100 results: $0.11
• 500 results: $0.51

Incremental runs only charge for new or changed results, making recurring monitoring cost-efficient.

FAQ

How many results can I get from wellfound.com?

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

Does Wellfound Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings 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 Wellfound Scraper with other apps?

Yes. Wellfound Scraper works with Apify's integrations 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 Wellfound Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Wellfound Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

Is it legal to scrape wellfound.com?

This actor extracts publicly available data from wellfound.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 on the actor's page in Apify Console. Your feedback helps us improve.

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