Wellfound Companies Scraper: startup directory, stage and funding signals

Scrape the Wellfound (formerly AngelList Talent) startup directory by city, by industry, or both. Every company comes with its name, one-line pitch, full description, website, logo, company size, stage, industries, office locations, number of open jobs (per role) and Wellfound's signals: YC funded, top investors, $1B+ valuation, recently funded, growing fast, B2B/B2C and Glassdoor ratings. Filter by size, stage, hiring and badges. No login, no cookies, no Wellfound account.

What you get

Company	Name, Wellfound profile and jobs links, website, logo, one-line pitch, full description
Size and stage	Employees (e.g. 51-200) and stage: early, growth, scale, public or acquired
Industries	Wellfound markets, e.g. SaaS, Fin Tech, Artificial Intelligence (names and slugs)
Locations	Office locations (names and slugs)
Hiring	Open jobs on Wellfound, open jobs per role (Engineering, Sales …), "Actively hiring", how fast the company answers applicants
Signals	YC funded, top investors, valuation ($1B+ / $500M+), recently funded, growing fast, B2B / B2C
Ratings	Glassdoor rating, work/life balance and leadership ratings when Wellfound shows them
List context	Which list the company came from, its position in that list and how many companies the list has

How to use it

1. Enter one or more locations, e.g. London, San Francisco, New York, Berlin, Toronto, Bengaluru, Canada, Europe.
2. And/or enter industries, e.g. SaaS, Fintech, Artificial Intelligence, Healthcare, Developer Tools. Every location × industry pair is its own list ("SaaS startups in London").
3. Set Max companies and any filters, then run.

Leave both empty to read Wellfound's whole startup directory (about 10,000 companies). Tick Startups hiring remotely for Wellfound's remote list (about 4,000 companies). Max companies is the total for the run, shared fairly between your lists. A company that appears in several lists is saved once.

Input examples

Startups in London:

{
  "locations": ["London"],
  "maxItems": 200
}

Fintech and AI startups in New York and Toronto, growth or scale stage, hiring right now:

{
  "locations": ["New York", "Toronto"],
  "industries": ["Fintech", "Artificial Intelligence"],
  "stages": ["growth_stage", "scale_stage"],
  "onlyHiring": true,
  "maxItems": 500
}

YC-funded SaaS companies that hire remotely:

{
  "remoteFriendly": true,
  "industries": ["SaaS"],
  "mustHave": ["ycFunded"],
  "maxItems": 100
}

Every company in a Wellfound list, by URL:

{
  "startUrls": [{ "url": "https://wellfound.com/startups/l/london/saas" }],
  "maxItems": 0
}

Names are matched to Wellfound's own list names (Fintech → fintech-2, New York → new-york-city-ny, Canada → canada-startups). You can also paste the slug or the directory URL from wellfound.com/startups.

Output example

{
  "companyId": "1222430",
  "name": "Deepgram",
  "slug": "deepgram",
  "url": "https://wellfound.com/company/deepgram",
  "jobsUrl": "https://wellfound.com/company/deepgram/jobs",
  "website": "https://www.deepgram.com/",
  "logoUrl": "https://photos.wellfound.com/startups/i/1222430-25607b0f6637beda561fdf459238422a-medium_jpg.jpg?buster=1687560231",
  "tagline": "AI speech API for transcription with human-level understanding",
  "description": "Hey, we’re Deepgram! We’re an AI speech platform whose mission is to make every voice heard and understood. …",
  "companySize": "51-200",
  "companySizeCode": "SIZE_51_200",
  "stage": "Growth Stage",
  "stageCode": "growth_stage",
  "markets": ["Machine Learning", "Audio", "Artificial Intelligence", "Natural Language Processing"],
  "marketSlugs": ["machine-learning", "audio", "artificial-intelligence", "natural-language-processing"],
  "locations": ["San Francisco", "Ann Arbor", "Remote"],
  "locationSlugs": ["san-francisco", "ann-arbor", "remote-friendly"],
  "openJobs": 93,
  "jobsByRole": [{ "role": "Designer", "count": 1 }, { "role": "Engineering", "count": 33 }, { "role": "Management", "count": 2 }, { "role": "Marketing", "count": 2 }, { "role": "Operations", "count": 14 }, { "role": "Other", "count": 7 }, { "role": "Other Engineering", "count": 5 }, { "role": "Product", "count": 4 }, { "role": "Sales", "count": 25 }],
  "activelyHiring": true,
  "ycFunded": true,
  "topInvestors": true,
  "valuation": null,
  "valuation1b": false,
  "recentlyFunded": false,
  "growingFast": true,
  "b2b": true,
  "b2c": false,
  "glassdoorRating": null,
  "workLifeBalanceRating": null,
  "leadershipRating": null,
  "respondsWithin": "within a day",
  "topResponder": "Top 5% of responders",
  "badges": ["Actively Hiring", "Top 5% of responders", "Responds within a day", "B2B", "Growth Stage", "Top Investors", "YC Funded", "Growing fast"],
  "searchLocation": "london",
  "searchIndustry": null,
  "search": "startups in London",
  "listUrl": "https://wellfound.com/startups/location/london",
  "listTotal": 399,
  "position": 1,
  "scrapedAt": "2026-10-02T00:07:38.964Z"
}

Every row has the same columns; a value Wellfound doesn't show for a company is null (or an empty list).

Use cases

• B2B lead lists: startups in a city or industry, with website, size, stage and hiring activity, ready for your CRM.
• Recruiting and job search: which startups are hiring, how many roles they have open, and how fast they answer applicants.
• Investor and market research: map an industry or city by stage, size, YC backing and valuation signals.
• Sales territory planning: growth- and scale-stage companies hiring in your region.
• Monitoring: schedule a weekly run to see new companies and hiring changes in your market.

FAQ

Do I need a Wellfound account, cookies or a login? No. The scraper reads the same public directory pages any visitor sees at wellfound.com/startups. It never logs in and needs nothing from you except a location, an industry or a URL.

How many companies can I get? Each Wellfound list shows its companies 10 per page; London has about 400, SaaS about 1,300, the remote list about 4,000 and the whole directory about 10,000. Set Max companies to 0 to get every company in your lists.

How fast is it? A page of 10 companies takes about a second, and 4 pages are read at a time: 1,000 companies take about a minute.

What if a location or industry isn't found? Wellfound only has lists for the places and industries it knows. If it doesn't recognise one, that list is skipped, not charged, and the run's status message says which word wasn't recognised and suggests close matches (for example Londn → London).

How do the filters work? Wellfound's lists can only be narrowed by location and industry; size, stage, hiring and badges are checked company by company. Companies that don't match are never charged. With a very narrow filter the scraper may read many pages to find a few matches, so it stops early once further pages would cost more than the matches they bring, and the status message says so. Narrowing by location or industry is always the fastest way to a precise list.

Does it give me founders, employees or contact people? No. It collects company-level data only. It never opens company profile pages (where Wellfound lists founders and team members) and never outputs people's names, profiles, e-mails or phone numbers as fields. A company's own description can mention its founders by name, as written by the company; personal e-mail addresses and phone numbers in descriptions are removed (company addresses such as info@ stay).

Which proxy should I use? Keep the default (Apify Proxy, datacenter). It comes with every Apify plan, including the free one. If Wellfound refuses datacenter IPs, the run switches to residential proxies when your account has them, and stops with a clear message when it doesn't.

What does a run cost? You pay per company saved plus a small fee per run. See the Pricing tab. Companies that are filtered out, duplicated across lists or not delivered are never charged.

Is it legal to scrape Wellfound? This Actor only collects publicly available data: company listings that anyone can see in Wellfound's startup directory without an account, such as the company name, description, website, size, stage, industries, locations and open-job counts. Collecting publicly available data is generally legal, but you're responsible for how you use it. The data describes companies, not people, but a company's description can mention its founders by name; the scraper removes personal e-mail addresses and phone numbers from descriptions. You must follow privacy laws such as GDPR, PIPEDA and CCPA, as well as Wellfound's terms. If you're unsure, check with a lawyer. More on this: Is web scraping legal?

Does it access any private data? No. Everything comes from directory pages Wellfound shows to any visitor without logging in. It never uses a login and never touches candidate profiles, applications, messages or private accounts. It only reads pages that Wellfound's robots.txt allows.

This Actor is not affiliated with, endorsed by, or sponsored by Wellfound or AngelList. Wellfound is a trademark of its owner, used here only to describe the data the Actor works with.