Wellfound Company Scraper

Research a startup from what it publishes about itself on Wellfound. One company slug in, one row out, carrying its funding rounds with the amount raised and the press article behind each, its lifetime capital raised, its team with titles and how long each person has held them, the perks it advertises, the roles it has open, and its website, LinkedIn, X and blog.

It is the profile behind a name — for diligence, for a competitor file, for enriching a list of companies that came from somewhere else.

Accepted input

{
  "companies": ["openai", "https://wellfound.com/company/homelight"],
  "sections": ["overview", "funding", "people"]
}

companies takes slugs or pasted profile URLs, mixed freely, and a company listed twice is read once. sections chooses which tabs are read: overview, funding, jobs, people, culture. Each tab is a separate read, so ask for what is wanted — and read the first question below before dropping funding.

What a row looks like

{
  "company_name": "OpenAI",
  "company_slug": "openai",
  "company_url": "https://wellfound.com/company/openai",
  "company_website": "https://www.openai.com/",
  "company_pitch": "Discovering and enacting the path to safe artificial general intelligence",
  "company_size": "SIZE_201_500",
  "company_markets": ["Artificial Intelligence", "Machine Learning"],
  "company_locations": ["San Francisco"],
  "total_raised": 11000120000,
  "is_hiring": false,
  "open_jobs_count": 0,
  "linkedin_url": "https://www.linkedin.com/company/openai/",
  "twitter_url": "http://twitter.com/openai",
  "funding_rounds": [
    {
      "round_type": "Series Corporate Round",
      "raised_amount": 10000000000,
      "valuation": 0,
      "closed_at": "2023-02-09T00:00:00.000Z",
      "press_title": "Former Salesforce CEO Bret Taylor is launching an AI startup",
      "source_url": "https://qz.com/bret-taylor-ai-company-salesforce-twitter-1850090837"
    }
  ],
  "team": [
    {
      "name": "Greg Brockman",
      "title": "CTO",
      "role": "FOUNDER",
      "tenure_years": 10.7,
      "profile_url": "https://wellfound.com/p/greg-brockman",
      "avatar_url": "https://photos.wellfound.com/users/474574-medium_jpg?1405689115"
    }
  ],
  "perks": [
    {
      "category": "healthcare",
      "title": "Comprehensive health, dental, and vision coverage for you and your family",
      "description": ""
    }
  ],
  "open_jobs": [],
  "hidden_sections": ["SALARIES"],
  "sections_fetched": ["overview", "funding"]
}

Amounts are whole currency units as the site stores them, so 11000120000 is $11.00012B. tenure_years comes from the tenure in seconds Wellfound states for each role, which makes a founder's own record — the same person appearing with several titles over several years — legible in a way most company databases do not publish.

Questions

Why did every round come back with raised_amount: null? Because funding was not requested. The overview tab lists a company's rounds with their type and close date and omits the amount and the press link; only the funding tab carries them. HomeLight's eleven rounds come back empty from overview and with $60M, $55M, $263M and $100M from funding. When both are requested the two are merged by round, so the fuller version wins and nothing is duplicated.

Why is there no salaries section? Wellfound redirects that sub-page to the overview and most companies hide it outright — both companies checked on 16 August 2026 reported ["SALARIES"] in hidden_sections — so offering it would promise data the site does not serve. hidden_sections is on every row precisely so an empty section can be read as "the company withheld this" rather than "the read failed".

open_jobs is empty but the company clearly has roles open. Why? The jobs section was not requested. open_jobs_count comes from the company record and is present either way; the postings themselves are on the jobs tab. There is a second reason worth knowing: the overview tab renders a strip of recommended postings from other companies, and OpenAI — with no open roles of its own — comes back with ten of them. Postings are matched against the company they belong to and everything else is dropped, so an empty open_jobs is never somebody else's roles wearing this company's name.

Why is team short compared with the company's real headcount? Because it is who the company has chosen to list on Wellfound, not its payroll. The overview tab lists founders only; the people tab lists the wider team, which on HomeLight is 25 people against a SIZE_501_1000 band. People whose record could not be resolved from the page carry no name and are left out rather than added as blanks.

What happens to a slug that does not exist? It produces no row, is named in the run log, and costs nothing; the rest of the list carries on. A renamed or removed company answers exactly like one that never existed, so those are one outcome from outside.

Does asking for all five sections cost five times as much? No — a company is charged once however many sections were read. More sections make a run slower rather than more expensive, which is why the default is overview and funding rather than everything.

Can companies be discovered here rather than named? No. This Actor reads profiles that are named in the input. Discovery is the Wellfound Startups Scraper's job, and its company_slug column is exactly what this one takes as input.

Related Actors

Wellfound Startups Scraper produces the company list, and can attach these same profile fields to each row in the same run.

Wellfound Jobs Scraper exports the postings themselves by role and city, with the hiring company on every row.