{ "openapi": "3.0.1", "info": { "title": "Find Companies Hiring — Job Board Scraper & Signals (7 ATS)", "description": "Find companies hiring for what you sell — no list needed: built-in directory of 8,800+ job boards (Greenhouse, Workday, Lever, Ashby +3). Scored B2B leads with tech stacks, new-tech alerts, salaries, hiring velocity, ghost-job flags. CSV-ready output, delta mode. 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Accepts full board URLs (`boards.greenhouse.io/gitlab`, `jobs.lever.co/spotify`, `jobs.ashbyhq.com/ramp`, `apply.workable.com/blueground`, `careers.smartrecruiters.com/ServiceNow`) or bare company slugs (e.g. `gitlab`). Bare slugs are probed against all five ATS providers automatically.", "items": { "type": "string" } }, "companyNames": { "title": "Company names (auto-discovery)", "type": "array", "description": "Don't know the board slugs? Just paste plain company names (e.g. `Blueground`, `Acme Corp`) — the Actor generates likely slugs and probes all five ATS providers automatically. Use together with or instead of `boards`.", "default": [], "items": { "type": "string" } }, "keywords": { "title": "Keywords", "type": "array", "description": "Case-insensitive keywords matched against job title, department, location and (optionally) full description. A job matches if ANY keyword is found. Leave empty to include all jobs. Examples: `golang`, `kubernetes`, `SDR`, `HubSpot`, `data engineer`.", "default": [], "items": { "type": "string" } }, "keywordsMode": { "title": "Keyword logic", "enum": [ "any", "all" ], "type": "string", "description": "`any` = job matches if ANY keyword found (broad). `all` = job must contain ALL keywords (precise targeting, e.g. `python` AND `aws`).", "default": "any" }, "searchDescriptions": { "title": "Search inside job descriptions", "type": "boolean", "description": "Also match keywords inside full job description text (tech-stack detection). Slightly slower for Greenhouse boards.", "default": true }, "locationFilter": { "title": "Location filter", "type": "array", "description": "Only include jobs whose location contains ANY of these substrings (case-insensitive), e.g. `remote`, `berlin`, `united states`. Leave empty for all locations.", "default": [], "items": { "type": "string" } }, "postedWithinDays": { "title": "Posted within (days)", "minimum": 0, "maximum": 365, "type": "integer", "description": "Only include jobs posted/updated within the last N days. 0 = no limit. Fresh postings are the strongest buying signal.", "default": 0 }, "maxJobsPerCompany": { "title": "Max jobs per company", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Cap on matched job items output per company (company signal still aggregates over all matches).", "default": 100 }, "extractTechStack": { "title": "Extract tech stack", "type": "boolean", "description": "Detect ~120 known technologies (languages, frameworks, clouds, SaaS tools) in each job and aggregate `top_technologies` per company. No extra cost.", "default": true }, "onlyNewJobs": { "title": "Only new jobs (delta mode)", "type": "boolean", "description": "Remember which jobs were already seen in previous runs and output only NEW postings. Perfect for scheduled runs + Slack/email/n8n alerts: run daily, get only fresh signals.", "default": false }, "outputMode": { "title": "Output mode", "enum": [ "companies", "jobs", "both", "flat_leads" ], "type": "string", "description": "`companies` = one aggregated hiring-signal record per company. `jobs` = individual matched postings. `both` = both. `flat_leads` = one FLAT row per company with no nested objects — ready for CSV export, Google Sheets or CRM import.", "default": "both" }, "rolePresets": { "title": "Role presets", "type": "array", "description": "Curated keyword bundles — pick roles instead of inventing keywords. Adds terms like `account executive`, `sdr`, `revops` (sales) or `backend`, `sre` (engineering) to your keywords.", "items": { "type": "string", "enum": [ "engineering", "sales", "marketing", "data", "devops_platform", "ai_ml", "product", "design", "finance", "hr_recruiting", "support", "security", "leadership" ], "enumTitles": [ "Engineering", "Sales", "Marketing", "Data", "DevOps / Platform", "AI / ML", "Product", "Design", "Finance", "HR / Recruiting", "Customer Support", "Security", "Leadership (VP+)" ] }, "default": [] }, "excludeStale": { "title": "Exclude stale (ghost) jobs", "type": "boolean", "description": "Drop postings open for more than 45 days — they are often evergreen/ghost jobs and dilute the signal.", "default": false }, "discoverCompanies": { "title": "🔍 Discover companies (no list needed)", "type": "array", "description": "Don't have a company list at all? Sample companies from the built-in directory of ~8,800 job boards (collected from Common Crawl) and scan them against your keywords. Pick which ATS universes to sample from. Combine with `discoverLimit`.", "items": { "type": "string", "enum": [ "greenhouse", "ashby", "workable", "smartrecruiters", "personio", "lever" ], "enumTitles": [ "Greenhouse (~1,800 companies)", "Ashby (~2,700)", "Workable (~3,100)", "SmartRecruiters (~400)", "Personio (~670, EU)", "Lever (~70)" ] }, "default": [] }, "discoverLimit": { "title": "Discovery sample size", "minimum": 1, "maximum": 2000, "type": "integer", "description": "How many companies to sample from the directory per run (random sample, spread across the selected ATS). Each scanned company that matches produces normal paid results.", "default": 50 }, "checkFunding": { "title": "💥 Funding cross-check (composite intent)", "type": "boolean", "description": "For every company with a hiring signal, check SEC EDGAR: did it file a Form D (raise capital) in the last 12 months? Hiring + fresh money = the hottest B2B lead. Adds `funding_check` and `composite_intent_score`.", "default": true }, "excludeCompanies": { "title": "Exclude companies", "type": "array", "description": "Skip these companies entirely (names or board slugs) — e.g. your existing customers or competitors.", "default": [], "items": { "type": "string" } }, "htmlReport": { "title": "HTML report", "type": "boolean", "description": "Save a shareable `report.html` (top-25 companies by composite score) into the run's key-value store — send the link to a client or teammate.", "default": true } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } }