500 Global Companies Directory — Startup API avatar

500 Global Companies Directory — Startup API

Pricing

from $50.00 / 1,000 500 global companies

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500 Global Companies Directory — Startup API

500 Global Companies Directory — Startup API

Scrape the 500 Global (500 Startups) company directory — 2,200+ accelerator alumni. Each company gives name, description, batch, cohort year, industry, business model, stage, funding status, country, team size, founders, website and LinkedIn. For deal sourcing. No API key. Pay per record.

Pricing

from $50.00 / 1,000 500 global companies

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Developer

NexGenData

NexGenData

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a day ago

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500 Global Companies Directory

500 Global portfolio companies as a startup deal sourcing list — scrape the full 500 Global company directory.

Scrape the 500 Global company directory for deal sourcing. Built for VCs, deal scouts, founders and AI agents.

Every IP registry actor is a monitoring subscription, not a one-shot lookup. Schedule a weekly sweep and catch new filings as they land:

{
"query": "fintech",
"limit": 100
}

Weekly cron (0 8 * * 1) turns this into an always-on batch watch.

📊 What you get

Clean JSON, one record per company (full output has 27 fields):

  • 500global_url — 500global url
  • batch — Batch
  • batches — Batches
  • business_model — Business model
  • cohort_year — Cohort year
  • country — Country
  • description — Description
  • first_investment_date — First investment date
  • founders — Founders
  • funding_status — Funding status

Pricing: $0.05 per company (Pay-Per-Event) — about 20 companys per $1.

🤖 Use with AI agents

Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and run 500 Global company directory for deal sourcing on demand.

Sample agent prompt:

List 500 Global companies by batch and business model.

Agentic payments (x402): Supports agentic payment via x402 — agents can call this actor with USDC, no API key required.

Run it on a schedule

A weekly run is enough for most uses, because the 500 Global portfolio changes when new cohorts join, new investments close or companies exit, not minute by minute. Each run returns the full list that matches your filters, so new companies show up as new rows and existing companies can come back with updated values such as stage or funding_status. The actor removes duplicates inside a single run, but it does not skip companies you got in earlier runs, so compare on the id field to spot what is new. Send each run's results onward with a webhook, Google Sheets, Zapier, Make or the Apify API.

Video guides from Apify: Schedule your Actor · Integrations

FAQ

Why use this instead of the official 500 Global portfolio page?

The 500.co portfolio page is free to browse, and this actor reads the same data that page shows. What it adds is structure and automation: one clean JSON row per company, filters by program, batch, cohort year, industry, country, funding status and business model, and runs you can schedule and export. No login is needed. The actor is not made by or linked to 500 Global.

What does a typical run cost?

You pay per result, not for run time: $0.05 for each row in the results, plus $0.01 per run start (charged per GB of run memory, minimum one). A run that returns 10 companies costs about $0.51. Live prices are always shown in the Pricing tab.

How do I get a list of 500 Global startups in a region like MENA or Latin America?

Use the programs filter with the program slug: global, mena, latam, sea, korea, taiwan, vietnam, thailand or ee (Eurasia). You can add countries or industries to narrow it, for example MENA fintech only. A few companies went through more than one program and list all of them in programs[].

Can I get a list of 500 Global portfolio exits?

Yes. Set fundingStatus to ["Exited"]. The status comes from 500 Global's own labels, so it is only as current as their portfolio data. The same filter also accepts stages such as Seed or Series B, and buckets like Active or Dead.

Does it include founder emails, headcount or LinkedIn pages?

No founder emails. Founder names are included in founders[], parsed from the people listed on each company. Fields such as team_size and linkedin_url are often empty because the source does not publish them. cohort_year is taken from the earliest investment date, and records with a broken 1970 date are left out.

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