Crunchbase Company Lookup

Paste a list of Crunchbase organizations. Get back structured JSON.

Funding history, leadership, employees, news, acquisitions, technology stack, social links, signals, and more — one record per company, ready to drop into a CRM, a deal pipeline, or your own analysis.

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⚡ Why use this actor?

• Just paste — any format works. Full URLs (https://www.crunchbase.com/organization/anthropic), bare slugs (stripe), or UUIDs. Mix them freely in one run; duplicates are removed.
• Batch-friendly. Up to 5 organizations per run; lookups run in parallel.
• Failure-tolerant. One bad URL doesn't kill the run. Failed rows include an _error object with a machine-readable error_type so you can retry surgically.
• Honest about coverage. See the Data coverage section below — every field comes with a real fill-rate percentage so you know exactly what to expect before you spend a credit.
• Pay only for what works. You're billed per successful organization; invalid URLs cost a fraction of a successful lookup, and server / network errors are free. See Pricing.

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🚀 Quick start

{ "slugs": ["anthropic", "stripe", "openai"] }

That's it. You get one record per company in the dataset.

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📋 Input parameters

You must provide at least one of urls, slugs, or uuids. They can be mixed. Up to 5 identifiers per run (combined across all three).

Parameter	Type	Description
urls	Array	Full Crunchbase URLs, e.g. https://www.crunchbase.com/organization/anthropic.
slugs	Array	Just the slug, e.g. stripe, thermo-fisher-scientific.
uuids	Array	Crunchbase UUIDs, e.g. b0422dd2-b32a-efc0-a274-c65351f5c8a9.

Mixed input example

{
  "urls": [
    "https://www.crunchbase.com/organization/anthropic",
    "https://www.crunchbase.com/organization/openai"
  ],
  "slugs": ["stripe", "thermo-fisher-scientific"],
  "uuids": ["b0422dd2-b32a-efc0-a274-c65351f5c8a9"]
}

---

📤 What you get back

One record per input company in the actor's default dataset. Each record carries the full Crunchbase profile shape (see the Dataset Schema tab for every field) plus two helper fields:

Field	Description
_input_url	The exact URL the actor sent for this row. Use it to correlate dataset rows back to your input list.
_error	Present only when the lookup failed. Inspect kind, status, and body to retry.

Successful record (truncated)

{
  "_input_url": "https://www.crunchbase.com/organization/thermo-fisher-scientific",
  "uuid": "b0422dd2-b32a-efc0-a274-c65351f5c8a9",
  "slug": "thermo-fisher-scientific",
  "name": "Thermo Fisher Scientific Inc.",
  "legal_name": "Thermo Fisher Scientific Inc.",
  "website": "https://www.thermofisher.com",
  "country_code": "United States",
  "hq_continent": "North America",
  "headquarters": "Waltham, Massachusetts, United States, North America",
  "num_employees_band": "10001+",
  "num_employee_profiles": 109,
  "ipo_status": "public",
  "stock_symbol": "NYSE:TMO",
  "cb_rank": 1912,
  "heat_score": 79,
  "growth_score": 76,
  "monthly_visits": 5383126,
  "industries": [
    {"id": "biotechnology", "value": "Biotechnology"},
    {"id": "life-science", "value": "Life Science"}
  ],
  "social_media_links": [
    "https://www.linkedin.com/company/thermo-fisher-scientific",
    "https://x.com/ThermoFisher"
  ],
  "current_employees": [
    {"name": "Marc Casper", "title": "President", "permalink": "marc-n-casper-fd2d"}
  ],
  "acquisitions": [
    {"acquiree_identifier": {"value": "Clario", "uuid": "00837b02-..."}, "announced_on": null, "price": null}
  ],
  "num_acquisitions": 68,
  "news": [
    {"title": "Thermo Fisher opens U.S. Flagship Bioprocess Design Center", "publisher": "Business Wire", "date": "2026-04-28"}
  ]
}

Failed record

{
  "_input_url": "https://www.crunchbase.com/organization/this-doesnt-exist-12345",
  "_error": {
    "kind": "http",
    "status": 404,
    "body": {
      "title": "Not found",
      "status": 404,
      "detail": "No Crunchbase organization found for the provided URL.",
      "error_type": "not_found"
    }
  }
}

The error_type field is the canonical, machine-readable classifier:

error_type	HTTP	Meaning	Billed
not_found	404	URL parsed correctly but the organization doesn't exist.	✓
invalid_input	400	URL malformed or wrong host.	—
upstream_unavailable	503	Upstream provider unreachable / transient. Safe to retry.	—
internal_error	500	Unexpected server error.	—

---

📊 Data coverage

How often is each field actually populated? These percentages are measured over 23,827 real Crunchbase organization records, covering startups, mid-market, and enterprise organizations across industries.

✅ Always present (100% of records)

uuid · slug · name · crunchbase_url · about · full_description · company_overview · ipo_status · operating_status · num_employee_profiles · type

🟢 Almost always (>90%)

Field	Filled
heat_score	99.98%
website	99.70%
country_code / address / hq_continent / region / location[]	99.13%
featured_lists[]	98.89%
image	98.51%
technology_highlights	98.31%
social_media_links[]	98.23%
num_employees_band	97.87%
industries[]	97.53%
cb_rank	96.79%
heat_trend	96.63%
active_tech_count	96.25%
company_type	96.24%
built_with_tech[] (technology stack)	95.95%
headquarters_regions[]	95.04%
similar_companies[]	94.83%
people_highlights	94.13%
contacts[]	93.99%
num_contacts / num_contacts_linkedin	90.47%

🟡 Common (50–90%)

Field	Filled
monthly_visits / semrush_visits_latest_month	89.49%
aberdeen_it_spend (estimated IT spend)	87.43%
monthly_visits_growth	87.44%
products_and_services[]	86.19%
phone_number	81.19%
news[]	78.70%
bombora[] (intent signals)	72.94%
legal_name	69.76%
email_address	69.43%
current_employees[]	68.51%
growth_score	60.41%
siftery_products[]	58.98%
growth_trend	56.52%

🟠 Sometimes (10–50%)

Field	Filled
founders[]	48.20%
ipqwery (patents + trademarks)	40.41%
financials_highlights	31.43%
investors[] / num_investors	31.43%
current_advisors[] / num_advisor_positions	26.80%
acquisitions[] / num_acquisitions	26.76%
apptopia[] (mobile app data)	26.62%
acquired_by	13.76%
funds_raised[] / investments[] / num_investments	10.72%

🔴 Rare (<10%) — present mostly for public, exited, or large companies

Field	Filled
ipo_fields	9.26%
sub_organizations[]	9.17%
num_investments_lead	7.21%
layoff[]	7.10%
stock_symbol	6.77%
exits[]	5.23%
sub_organization_of	3.23%
diversity_investments[]	3.15%
funds_list[]	1.20%

What does this mean for you?

• Identity, location, web presence, tech stack, and similar-companies data is reliable across the board (>90%).
• Funding-related fields (investors, acquisitions, funds_raised) are populated for ~10–30% of companies — typically venture-backed or M&A-active organizations.
• Public-markets fields (stock_symbol, ipo_fields) only appear for public companies (~7–9%).
• Fields you rarely see like funds_list or diversity_investments are specialty data points present only for VC firms, investment funds, and a small slice of organizations.

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🚀 Usage examples

Look up a single company

{ "slugs": ["anthropic"] }

Look up several companies by slug

{
  "slugs": ["stripe", "plaid", "ramp", "brex", "mercury"]
}

Look up by Crunchbase UUID

If you already have Crunchbase UUIDs (e.g. exported from a spreadsheet or another database), pass them directly — no URL conversion needed.

{
  "uuids": [
    "b0422dd2-b32a-efc0-a274-c65351f5c8a9",
    "275a9914-8109-4620-93d7-a1d33f63dad1"
  ]
}

Mix any formats — the actor normalizes them

{
  "urls": ["https://www.crunchbase.com/organization/anthropic"],
  "slugs": ["openai", "stripe"],
  "uuids": ["b0422dd2-b32a-efc0-a274-c65351f5c8a9"]
}

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❓ FAQ

How long does a run take?

Each lookup typically completes in 30–60 s. A run of 5 organizations in parallel lands in ~1 minute.

Why are so many fields null?

Crunchbase data coverage varies wildly per company. A 50-employee SaaS startup won't have acquisitions, funds_raised, or apptopia data. A privately-held company won't have stock_symbol or ipo_fields. See the Data coverage section for measured fill rates. Null = "Crunchbase doesn't track this for this company" — not "the actor failed to map it."

Can I look up a company by name?

Not directly — Crunchbase uses slugs and UUIDs as keys. Use Crunchbase search to find the organization URL, then pass that here.

How do I retry just the failures?

Filter the dataset for rows where _error is set, then feed the _input_url values back into a new run.

What happens if I pass the same URL twice?

Inputs are de-duplicated after canonicalization (urls, slugs, and uuids are all normalized to https://www.crunchbase.com/organization/<id>), so you won't be charged twice for the same company in a single run.

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💰 Pricing

Pay-per-event — you're billed only for outcomes, not run-time:

Event	Charged when	Price
successful-lookup	Organization successfully scraped and returned (HTTP 200).	$0.005 each
failed-lookup	Identifier is structurally valid but the org doesn't exist (404).	$0.002 each
Server / network errors (HTTP 5xx, timeouts)	—	not billed

Apify's standard apify-actor-start ($0.00005, ~one event per run at 128 MB) also applies.

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AI Deep Job Search	AI-scored, multi-step job research.

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🏢 About Jobo

Jobo provides job & company data infrastructure for developers, recruiters, and AI agents.

• Website: jobo.world
• Support: enrico@jobo.world