Wellfound Jobs + Startup Intelligence Scraper

What does Wellfound Jobs + Startup Intelligence Scraper do?

Wellfound Jobs + Startup Intelligence 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 keyword search, location filters, and controllable result limits, so you can run the same query consistently over time.

Key features

• Incremental mode — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline state; subsequent runs emit only new or changed records.
• Compact mode — AI-agent and MCP-friendly payloads with core fields only.

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 a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Free-text job search (e.g. "rust engineer", "ML ops", "solidity developer"). Maps to Wellfound's /jobs?q= endpoint. Combine with roles/searchUrls to union multiple searches.
• roles — Wellfound's built-in role categories. Each spawns a separate search thread. Common slugs: software-engineer, product-manager, product-designer, data-analyst, growth-marketer, sales-manager, account-manager, hr-manager, operations-manager, financial-analyst, graphic-designer, ui-ux-designer. Free-text — you can also try other slugs.
• searchUrls — Paste full Wellfound search URLs (e.g. https://wellfound.com/role/l/product-manager/berlin). Each URL spawns a separate search thread. Mix with query/roles freely — all deduplicate by job ID.
• location — One or more location slugs (e.g. ["new-york", "san-francisco", "berlin"]). Each location × role combination spawns a separate search thread. For /jobs?q= searches, use a human-readable city name. Ignored for pasted searchUrls (they carry their own location).
• excludeLocations — Drop jobs whose locationNames match any of these (substring match, e.g. "India" drops "Bangalore, India"). Applied after fetch.
• remote — When true, scrapes remote-filtered URLs. Ignored for pasted searchUrls. (default: false)
• originLocation — City name for radius-based filtering (e.g. "San Francisco", "New York"). Used with radiusMiles or radiusKm. Supports ~35 major US + international startup hubs — unsupported cities skip the radius filter with a warning.
• radiusMiles — Drop jobs further than N miles from originLocation. Requires enrichDetail=true (needs job coordinates). US-standard unit. (default: 0)
• radiusKm — Kilometer alternative to radiusMiles. If both set, radiusMiles wins. Use this for EU-based searches. (default: 0)
• jobType — Filter by employment type. Matches Wellfound's jobType field (substring, case-insensitive).
• experienceLevel — Filter by minimum required years of experience. Entry: 0-2, Mid: 2-5, Senior: 5-8, Staff+: 8+. Jobs without experience data are kept.
• salaryMin — Drop jobs whose salary max is below this. 0 = no minimum. Jobs without salary data are dropped when minimum is set. (default: 0)
• ...and 29 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.

{
  "query": "software engineer",
  "maxResults": 50
}

Filtered search — Narrow results with advanced filters — only matching jobs are returned.

→ Same field set as basic search; fewer, more relevant rows.

{
  "query": "software engineer",
  "jobType": "fulltime",
  "experienceLevel": "entry",
  "maxResults": 100
}

Incremental tracking — Only emit jobs 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. Set emitUnchanged: true to include unchanged records as well.

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

Compact filtered output — Combine filters with compact mode for a lightweight AI-agent or MCP data source.

→ Core fields only — ideal for piping into LLMs or downstream tools without token overhead.

{
  "query": "software engineer",
  "jobType": "fulltime",
  "experienceLevel": "entry",
  "maxResults": 50,
  "compact": true
}

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"
}

Incremental fields

When incremental: true, 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.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape wellfound.com

1. Go to Wellfound Jobs + Startup Intelligence Scraper in Apify Console.
2. Enter a search keyword 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 Jobs + Startup Intelligence 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

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings 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 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

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 daily polling: $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.

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 Jobs + Startup Intelligence 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 Jobs + Startup Intelligence Scraper with other apps?

Yes. Wellfound Jobs + Startup Intelligence 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 Jobs + Startup Intelligence 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 Jobs + Startup Intelligence 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.

How do I search by keyword or tech stack?

The actor supports free-text query (e.g. "rust", "staff engineer", "solidity") that maps to Wellfound's /jobs?q= endpoint, plus Wellfound's built-in role slugs (software-engineer, product-manager, data-analyst, and others), plus pasted Wellfound search URLs. All three combine into a single deduplicated run — you can use any combination in one input. For additional narrowing, use includeKeywords to post-filter on title, description, and skills fields after fetch.

How fresh are the job listings?

Very fresh. Sampling 48 jobs from the default engineer search in April 2026 yielded:

Age	Share
1-24 hours	43%
1-7 days	45%
7-30 days	10%
> 30 days	0%

Median age was 1.5 days; the newest listing was 1.25 hours old at scrape time; the oldest was 28 days. Wellfound appears to expire inactive postings aggressively, so you do not see months-old zombie listings that plague broader job aggregators. This makes hourly scheduled runs with incrementalMode and maxAgeMinutes: 60 genuinely useful for real-time monitoring — roughly 1-5% of the feed turns over each hour.

Why are enrichment fields null without a cookie?

Wellfound's detail pages and company profile pages are stricter on commercial residential-proxy IPs — including Apify's pool — than on home-broadband connections. Requests from such IPs can be denied and the enrichment fetch fails silently, leaving the affected fields (full description, geolocation, salary currency, skills, visa detection, funding stage, founders) null in the output.

The actor warns you at run start if you enable either flag without sessionCookie. SERP-level fields (title, short salary range, company name, logo, slug) still populate so the run is not wasted.

How do I get a Wellfound session cookie?

1. Log in to wellfound.com in Chrome or Firefox. A free account is sufficient — no paid plan required.

2. Open DevTools (F12 or Cmd+Option+I) → Application tab (Chrome) or Storage (Firefox) → Cookies → https://wellfound.com.

3. Locate the two cookies you need:

   • _wellfound — domain wellfound.com — value looks like b6489f8d3693dfde2ae6a1661a02ca59.i
   • datadome — domain .wellfound.com — long opaque string, around 130 characters

4. Paste the Cookie-header format into the sessionCookie input field:

   _wellfound=b6489f8d3693dfde2ae6a1661a02ca59.i; datadome=CUoWCq66o9_...
   

The field accepts a full Cookie header with additional pairs too — extras are ignored. You can also paste a single bare token, which is interpreted as the _wellfound value. Treat the cookie as a password; the field is marked isSecret. Cookies typically live 2-4 weeks. Cloudflare cookies are NOT required — the scraper handles the Cloudflare challenge directly.

What do I get with and without sessionCookie?

Fields	Without cookie	With cookie
Job id, title, slug, portalUrl	yes	yes
compensation, salaryMin, salaryMax (from SERP card)	yes	yes
postedAt, locationNames, remote, remoteKind	yes	yes
companyName, companySlug, companyLogo	yes	yes
companySize, companyTagline	sometimes	yes
description (full long-form), industry, jobBenefits	no	yes
salaryCurrency, salaryPeriod, latitude, longitude	no	yes
skills[], visaSponsorship detection	no	yes
companyDescription, companyWebsite, companyFoundedYear	no	yes
companyLinkedIn, companyTwitter, companyMarkets[]	no	yes
companyFundingStage, companyTotalRaised, companyLastFundingDate	no	yes
companyFounders[] (name + title + Wellfound profile URL)	no	yes

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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Getting started with Apify

New to Apify? Create a free account with $5 credit — 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.