Venture Capital & Investor Data: VC Firms, Funds

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Investor and VC records: firm name, type, HQ country, website, and the rounds they have backed. Each investor is one canonical row, merged across the name variants outlets report them under. Set your filters, run it, and pay only for the records you get back. No API key, no signup, no sales call.

Use it for investor data, VC data, venture capital database, investor API, fund data.

What you get

Every record carries all of the below. The table view shows the columns that scan best; the full record is in the JSON, CSV, and Excel exports.

• Investor. the canonical name, resolved so the same firm is not split across spellings.
• Firmographics. type (VC, PE, corporate VC, growth, accelerator, family office, syndicate, angel), HQ country, and website, where we have resolved them. Tick "Only investors with firmographics" to get just those.
• Activity. how many rounds they have backed, the largest of those, and when they first and last invested. Filter on these to find investors by what they do rather than by how they are labelled.
• Markets. the countries they have actually funded companies in, most-backed first. Far better covered than a head-office country, and closer to what people mean by "a US investor".

Results export to JSON, CSV, or Excel, or stream straight to your database via the Apify API.

Common use cases

• Sales and prospecting. Find accounts that just raised, and reach them while the news is fresh.
• Market research. Track investors by industry, country, and date.
• Data enrichment. Add investors to your CRM or warehouse.
• Deal sourcing. Scan new activity, for investors and corp dev teams.

Filters

Input	Description
maxItems	Max records (default 100)
cursor	Advanced: resume from a previous run's NEXT_CURSOR to paginate ahead
search	Search by name or domain.
country	Filter by company HQ country. Pick "Not disclosed" for companies whose HQ country we never established. They are excluded from any other country filter.
type	Filter by investor type.
hasFirmographics	Return only investors we have resolved a website and type for. Excludes individual angels and firms we could not identify.
minRoundUsd	Only investors that have backed at least one round at or above this amount. Finds investors writing cheques at your size, including the ones we hold no type label for.
minRounds	Only investors that have participated in at least this many rounds. Separates repeat backers from one-offs.
activeSince	Only investors whose most recent round was announced on or after this date (YYYY-MM-DD).
investsIn	Only investors that have funded companies headquartered in these countries. Filters on where an investor actually deploys rather than where it is registered, and covers far more of the database.

Leave everything empty to get the newest records first, or narrow by the filters above. Each run saves a NEXT_CURSOR for pagination.

Example output

{
  "id": "019df8b0-7d09-729a-b98e-c49fc09c2afb",
  "name": "Index Ventures",
  "type": "vc",
  "hqCountry": {
    "code": "GB",
    "name": "United Kingdom"
  },
  "domain": "indexventures.com",
  "roundsCount": 375,
  "largestRoundUsd": 3400000000,
  "firstRoundAt": "2012-03-01T00:00:00.000Z",
  "lastRoundAt": "2026-08-26T00:00:00.000Z",
  "activeMarkets": [
    {
      "code": "US",
      "name": "United States"
    },
    {
      "code": "GB",
      "name": "United Kingdom"
    },
    {
      "code": "FR",
      "name": "France"
    }
  ]
}

FAQ

What data does this actor return?

Investor and VC records: firm name, type, HQ country, website, and the rounds they have backed. Fields: Investor, Type, Rounds, Largest round, Last active, Top market, Website, Country. Each one is matched to a canonical company.

Is this a Crunchbase, PitchBook, or Coresignal alternative?

Yes. It is a self-serve, API-first alternative to Crunchbase, PitchBook, Coresignal, and Harmonic, with no annual contract and no sales call.

How fresh is the data?

Most records are available the same day they are announced. Across the last 30 days, the median gap between a public announcement and the record being available was under one day.

Can I monitor investors on a schedule?

Yes. Save your filters as a task and use Apify's scheduler to run it daily or weekly. Each run stores a NEXT_CURSOR. Pass it to the next run to pick up where the last one stopped, so you only pay for records you have not seen yet.

Some records have an empty field. Can I still get those?

Yes. Not every announcement states every detail, and where a value was never disclosed the field is left empty rather than guessed. Filters that can be empty offer a Not disclosed option (HQ country and industry, plus funding round where it applies). Select it to include those records instead of dropping them from a filtered run.

How is the data deduplicated?

Each real-world event is matched across every outlet that reported it and resolved to one canonical company (and investors), so you never get the same round or deal twice.

How do I get the next batch of records?

Each run saves a NEXT_CURSOR to its key-value store. Pass it as the cursor input on the next run to continue where you left off. For new records over time, use the since filter.

Is there a free way to try it?

Free Apify accounts get a one-time sample of 50 records from this Actor, so you can see the shape and quality of the data before paying. It is per Actor, it does not reset, and it is meant for evaluation rather than for collecting a dataset.

Beyond the sample this Actor is for paid Apify plans, where you pay only for the records you get back, or for a direct subscription at datahyena.com.

Can I get this data over an API instead?

Yes. Datahyena is API-first: REST, webhooks, or MCP (Claude, Cursor, Codex). This actor is the Apify-native way to run it.

Use it in your own stack

For ongoing use it is cheaper and more flexible to go direct: REST, webhooks, and MCP, with subscription pricing and 50 free credits to start.

datahyena.com · Docs · MCP

Terms of use

Records returned by this Actor are licensed for use inside your own products and workflows. Building on the data is encouraged. Reselling, redistributing or republishing the records as data, in raw or substantially raw form, is not permitted, and neither is systematic extraction to reconstruct the dataset.

Full terms: datahyena.com/terms

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