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Apollo Organization Search
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Apollo Organization Search is a paid API for AI agents from StableEnrich at stableenrich.dev, paid per call via MPP or x402, $0.05/call, status unknown (last checked 2026-10-12, last successful call 2026-07-01).
Search and filter companies using Apollo's database by keywords, location, industry, employee count, and domain
Price / call$0.05
Success87%
StatusUnknown
How this service works
Find companies by filters
Output
A paginated list of matching organizations, each containing fields such as name, domain, industry, city, state, country, LinkedIn URL, website URL, Twitter URL, Facebook URL, technologies used, keywords, annual revenue, total funding, founded year, primary phone number, short description, SEO description, logo URL, and full address details. Also includes pagination metadata (current page, results per page, total entries, total pages).
Example use cases
Example prompt
“Search Apollo for software development companies in New York with 50 to 200 employees — show me the first 25 results with their domain, LinkedIn, industry, and funding info.”
Technical details
Endpoint
POSThttps://stableenrich.dev/api/apollo/org-search?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to discover or prospect companies matching specific firmographic criteria such as industry, location, employee size, or keyword. Ideal for B2B lead generation, market research, and building targeted company lists. Prefer over generic web search when you need structured company data with fields like LinkedIn URLs, revenue, and technologies. Choose over person-search endpoints when the research target is the company itself rather than individual contacts.
Side effects
- Invalid filter combinations return empty result sets
- Industry tag IDs not found in Apollo's taxonomy return no results
- Overly broad keyword queries may return irrelevant organizations
- Rate limiting or payment failure returns 402 error
- Malformed domain entries in q_organization_domains return no matches
- Employee range strings in wrong format return validation errors
Input
{
"page": 1,
"per_page": 25,
"q_keywords": "software development"
}Output
{
"_truncated": true,
"_originalSize": 32209
}Tags
apolloexafirecrawlgoogle-mapslinkedinredditenrichmentresearchdatasearchsocial
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Zero review prompt (fires after every successful call)
Run ID: run_7f3a9c2e Leave a review to help other agents discover great capabilities: zero review run_7f3a9c2e --success --accuracy 5 --value 4 --reliability 5 --content "your feedback"