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URL: https://apify.com/nexgendata/index-ventures-portfolio-scraper

โ‡ฑ Index Ventures Portfolio Scraper ยท Apify


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from $500.00 / 1,000 portfolio companies

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Index Ventures Portfolio Scraper

The only structured Index Ventures portfolio feed (~386 cross-Atlantic companies).

Pricing

from $500.00 / 1,000 portfolio companies

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๐Ÿ‘ NexGenData

NexGenData

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11 days ago

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The only structured feed of the full Index Ventures portfolio. Returns ~386 companies across the firm's cross-Atlantic catalog โ€” name, sector, stage Index entered at (Seed vs Growth/Select), Index Team partner, founders, website, IPO/public status with ticker, geography (US / Europe / Asia / LatAm / Africa / Australasia). One dataset row per portfolio company.

Why this exists

Index Ventures is the leading dual-coast (US + EU) generalist VC โ€” offices in London, San Francisco and New York, ~$15B AUM, partners since 1996. Its portfolio is the canonical map of cross-Atlantic startup investing, including:

  • US winners: Datadog (NASDAQ:DDOG), Confluent (NASDAQ:CFLT), Discord, Robinhood (NASDAQ:HOOD), Roblox (NYSE:RBLX), Pure Storage (NYSE:PSTG), Dropbox (NASDAQ:DBX), Etsy (NASDAQ:ETSY), Hugging Face, Notion, Figma, Scale AI
  • European winners: Adyen, Revolut, Wise, Deliveroo (LON:ROO), Just Eat Takeaway, King (Candy Crush), Skype, Farfetch (NYSE:FTCH), Boku (LON:BOKU)
  • AI/ML breakouts: Hugging Face, Cohere, ElevenLabs, Anysphere/Cursor, Glean, Sierra, 7AI

Index's own public listing at https://www.indexventures.com/companies/ shows the full ~386-company catalog in one page with no export, no CSV, no JSON API. This actor parses the listing once, fans out to each /companies/{slug}/ detail page in parallel, and returns a clean structured dataset.

What you get

Per portfolio company:

  • name โ€” company name
  • slug โ€” URL-safe identifier (matches the Index detail page slug)
  • url โ€” Index Ventures detail page URL
  • description โ€” company tagline / one-liner
  • sector / sectors[] โ€” Index's own sector taxonomy: aiml, business-applications, data, entertainment, fintech, future-of-work, healthcare, media, mobility, open-source, retail, security, talent
  • stage_invested โ€” Seed / Growth (Select) / Seed + Growth (the stage Index first entered at, derived from Index's data-backed listing attribute)
  • year_invested โ€” null (Index does NOT publish historical investment years; see "Limitations")
  • partner / partners[] โ€” Index Team deal partner names (Danny Rimer, Mark Goldberg, Mike Volpi, Sarah Cannon, Hannah Seal, Martin Mignot, Jan Hammer, โ€ฆ)
  • founders[] โ€” founder/CEO names
  • website โ€” company website
  • status โ€” Active (Private) or Public/IPO (EXCHANGE:TICKER) derived from the ticker badge Index displays for IPO'd companies
  • ticker โ€” stock ticker symbol if public, else null
  • geography โ€” US / Europe / Asia / LatAm / Africa / Australasia (slash-joined when multi-region, e.g. US/Europe)
  • regions[] โ€” raw region tags from Index's listing
  • source_firm โ€” Index Ventures
  • scraped_at โ€” UTC ISO timestamp of this run

Input

FieldTypeDescription
geographyFilterenumall (default) / US / Europe / Asia / LatAm / Africa / Australasia. Matches against Index's listing region tags.
sectorFilterstring[]Optional substring filter on sector tags (e.g. ["aiml", "fintech"]).
stageFilterstring[]Optional substring filter on derived stage. ["Seed"], ["Growth"], etc.
statusFilterstring[]Optional substring filter: ["Public"] or ["IPO"] for listed companies, ["Active"] for still-private.
yearFromToobjectAdvisory only โ€” Index does not publish years. Leave bounds null.
maxResultsintegerCap on dataset rows (1โ€“1000, default 100).

Use cases

  • European startup landscape. Set geographyFilter=Europe to get every Index-backed European company in one structured pull โ€” the de facto map of the top tier of European VC.
  • Cross-Atlantic M&A targeting. Filter statusFilter=["Active"] + sectorFilter=["fintech"] to find Index's private fintech roster (Revolut, Plaid alumni network, etc.) โ€” Index portfolio companies are prime acquisition candidates for US strategic buyers crossing into the EU and vice versa.
  • AI/ML deal sourcing. sectorFilter=["aiml"] returns Index's AI bet roster: Hugging Face, Cohere, ElevenLabs, Anysphere (Cursor), Sierra, Glean, Scale AI, 7AI.
  • Index Select (growth-stage) coverage. stageFilter=["Growth"] returns only the Index Select fund's growth-stage investments โ€” useful for late-stage sourcing and pre-IPO target lists.
  • IPO performance tracking. statusFilter=["Public"] returns just the 75+ Index portfolio companies that have IPO'd, with their tickers โ€” a clean Index-vintage benchmark portfolio for public-market analysts.
  • Deal-team mapping. Cross-reference partners[] with LinkedIn enrichment to map which Index partners lead which sectors.

Related actors

  • Sequoia Capital Portfolio Scraper โ€” Sequoia US + Peak XV India/SEA, ~710 companies.
  • a16z Portfolio Scraper โ€” Andreessen Horowitz portfolio.
  • Bessemer Portfolio Scraper โ€” Bessemer Venture Partners portfolio.
  • YC Companies Scraper โ€” Y Combinator alumni catalog.

Run these in combination to dedupe and overlap-analyze the top of the global VC pipeline.

Limitations

  • Year of investment is not published. Index's portfolio pages do not show the year Index first invested. Sister scrapers (Sequoia, Bessemer) include this; Index does not. The year_invested field is always null, and any yearFromTo filter is honored by returning zero rows.
  • Acquired companies are pruned, not labeled. When an Index portfolio company is acquired, Index removes it from the live listing rather than relabeling it as "Acquired". The actor therefore reports only Active (Private) and Public/IPO (TICKER) statuses. To recover historical exits, snapshot the dataset over time and diff slug-by-slug.
  • stage_invested reflects Index's fund split, not the company's round. Seed = Index entered at the seed round (often via Index Origin, the dedicated seed fund); Growth (Select) = entered via Index Select, the growth-stage fund. The company's most-recent round may be much later.

Pricing

  • $0.50 per portfolio company returned (primary event)
  • $0.00005 per actor start (covers token cost)

A full-portfolio pull (~386 companies, maxResults=1000) costs about $193. A focused European AI/ML pull (~30 companies) costs about $15.

Data freshness

Index Ventures updates its companies page periodically โ€” typically when new investments close or when companies IPO and the ticker badge is added. This actor reflects whatever is live on the page at run time. Re-run weekly for a fresh sourcing pipeline.

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