# ATS Hire-Trigger Intent Scraper (`george.the.developer/ats-hire-trigger-intent-scraper`) Actor Pull jobs from Greenhouse, Lever, Ashby, Workday, SmartRecruiters in one unified API. Intent-enriched with tech-keyword extraction, hiring-surge detection, and first-in-function flags. Pay per result. - **URL**: https://apify.com/george.the.developer/ats-hire-trigger-intent-scraper.md - **Developed by:** [George Kioko](https://apify.com/george.the.developer) (community) - **Categories:** Lead generation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## ATS Hire-Trigger Intent Scraper — Greenhouse + Lever + Ashby + SmartRecruiters Pull job postings from Greenhouse, Lever, Ashby, and SmartRecruiters in a single API call. Each job is intent-enriched with extracted tech keywords, hiring-surge detection, first-in-function flags, and seniority. Built for SDR teams running buying-intent outreach. Pay per result. [![ATS Hire-Trigger Scraper on Apify](https://img.shields.io/badge/Apify-ATS%20Hire%20Trigger-1f8f4d)](https://apify.com/george.the.developer/ats-hire-trigger-intent-scraper) [![Pricing](https://img.shields.io/badge/Pricing-%240.005%20raw%20%2F%20%240.015%20enriched-blue)](#pricing) ### Why this exists TheirStack at $59-$2,078/mo. SyncGTM at $99/mo. Coresignal enterprise-only. Existing Apify ATS scrapers dump raw JD text without intent extraction. SDR teams want "give me the 30 companies hiring Sales Engineers AND mention Salesforce in the JD AND posted in last 7 days." That requires JD text-mining, not just job extraction. ### How It Works ```` ``` ┌─────────────────────────────────────────────┐ │ ATS Hire-Trigger Intent Scraper API │ └──────────────────┬──────────────────────────┘ │ ┌──────────────────▼──────────────────────────┐ │ Step 1: COMPANY -> ATS RESOLUTION │ │ Probe Greenhouse / Lever / Ashby / │ │ SmartRecruiters in parallel. Cache result. │ └──────────────────┬──────────────────────────┘ │ ┌──────────────────▼──────────────────────────┐ │ Step 2: PULL JOBS (charge $0.005 each) │ │ Greenhouse: boards-api.greenhouse.io │ │ Lever: api.lever.co │ │ Ashby: api.ashbyhq.com/posting-api │ │ SmartRecruiters: api.smartrecruiters.com │ └──────────────────┬──────────────────────────┘ │ ┌──────────────────▼──────────────────────────┐ │ Step 3: NORMALIZE │ │ Unified schema across all 4 ATS platforms │ │ Title, dept, location, salary, seniority │ └──────────────────┬──────────────────────────┘ │ ┌──────────────────▼──────────────────────────┐ │ Step 4: INTENT EXTRACTION (+$0.010 enrich) │ │ 100-keyword regex: Snowflake, Salesforce, │ │ Stripe, Twilio, Segment, AWS, Datadog ... │ │ Hiring-surge: 5+ same-dept jobs in 14 days │ │ First-in-function: founding/first/head of │ └──────────────────┬──────────────────────────┘ │ ┌──────────────────▼──────────────────────────┐ │ Output: structured JSON per job │ └─────────────────────────────────────────────┘ ``` ```` ### Endpoints | Method | Path | Purpose | Charge | |--------|------|---------|--------| | `GET` | `/` | Service info | none | | `GET` | `/health` | Health probe | none | | `GET` | `/jobs?company=stripe.com&limit=50` | All jobs at one company across the 4 ATS platforms | $0.005 / job | | `GET` | `/search?keyword=devrel&days=14&country=US&limit=100` | Search jobs by keyword across ATS platforms | $0.005 / job | | `GET` | `/enrich?company=stripe.com&keyword=sales&limit=50` | Intent-enriched jobs (tech keywords, hiring-surge, first-in-function) | $0.015 / job | | `POST` | `/enrich/bulk` | Up to 50 companies in one call | $0.015 / job | ### Quick start ```bash TOKEN="" BASE="https://george-the-developer--ats-hire-trigger-intent-scraper.apify.actor" ## All Stripe jobs across the 4 ATS platforms curl "$BASE/jobs?company=stripe.com&limit=10" -H "Authorization: Bearer $TOKEN" ## Intent-enriched: companies hiring sales roles in last 30 days curl "$BASE/enrich?company=stripe.com&keyword=sales&limit=20&days=30" -H "Authorization: Bearer $TOKEN" ```` ### Sample response (intent-enriched) ```json { "company": "Stripe", "domain": "stripe.com", "ats_platform": "greenhouse", "job_id": "5841239", "job_url": "https://boards.greenhouse.io/stripe/jobs/5841239", "job_title": "Account Executive, AI Sales", "department": "Enterprise - Account Executives (NA)", "posted_at": "2026-04-22", "location": "San Francisco, CA", "remote_policy": "hybrid", "salary_min": 145000, "salary_max": 220000, "seniority": "mid", "intent_signals": { "tech_keywords": ["Stripe", "OpenAI", "Anthropic"], "hiring_surge": false, "first_in_function": false, "department_count_14d": 1 }, "enriched": { "careers_page": "https://stripe.com/jobs", "linkedin_company_url": "https://linkedin.com/company/stripe" } } ``` ### Pricing | Event | Price | What it covers | |-------|-------|----------------| | `job-listing` | $0.005 | One raw job pulled from any ATS platform | | `job-intent-enriched` | $0.015 | Job with tech-keyword extraction, hiring-surge flag, first-in-function flag | Apify free tier covers around $5/mo of usage out of the gate. No subscription, no minimum, no seat license. ### Use cases 1. **B2B SaaS SDRs** targeting funded startups by what they are hiring (Modern Treasury sells to anyone hiring a Controller; Vanta sells to anyone hiring a CISO). 2. **Recruiting agencies** tracking hiring-surge signals across competitor ATS platforms. 3. **VC scouts** mapping hiring velocity at portfolio companies post-funding. 4. **Account-based marketers** running intent-driven targeting on tech-keyword matches in JDs. 5. **Sales-ops** building daily ICP lists from net-new postings filtered by department and seniority. ### ATS coverage (v1) - Greenhouse — `boards-api.greenhouse.io`, open JSON, no auth - Lever — `api.lever.co`, open JSON, no auth - Ashby — `api.ashbyhq.com/posting-api/job-board/{slug}`, open JSON, no auth - SmartRecruiters — `api.smartrecruiters.com/v1/companies/{slug}/postings`, open JSON, no auth - Workday — deferred to v2 (tenant-discovery is non-trivial) ### Honest tradeoffs - Cold-start latency on first call after idle (10-30s while Apify wakes the Standby actor) - Slug derivation strips TLD (works for stripe, notion, figma, gitlab); v2 will fall back to careers-page parse for slugs that differ from the domain stem - Tech-keyword regex uses word boundaries — extends to 100 common B2B SaaS tools; not exhaustive - Department names from Greenhouse arrive with numeric prefixes ("1175 Enterprise - Account Executives") — v2 will normalize ### Docs and examples Full curl, Node, and Python examples at [github.com/the-ai-entrepreneur-ai-hub/ats-hire-trigger-intent-scraper-docs](https://github.com/the-ai-entrepreneur-ai-hub/ats-hire-trigger-intent-scraper-docs). ### More from this developer Other lead-gen actors built for the same value-driven, pay-per-result model: - **[Funded Startup Tracker](https://apify.com/george.the.developer/funded-startup-tracker)** — TechCrunch + SEC EDGAR funding events with parsed amount, round, investors, founders, hiring signals. $0.04 / $0.10 per record. Pairs with this actor: feed funded startups in, see what they are hiring next. - **[Shopify DTC Brand Discovery](https://apify.com/george.the.developer/shopify-dtc-brand-discovery)** — Shopify stores by niche with tech-stack detection, opportunity score, missing-app pitch angles. $0.02 / $0.05 per store. For DTC growth agencies running Klaviyo retainer outbound. - **[Email Validator API](https://apify.com/george.the.developer/email-validator-api)** — SMTP probe, MX record check, disposable detection. $0.002 per email. Pairs for verifying contacts attached to job postings. - **[Company Enrichment API](https://apify.com/george.the.developer/company-enrichment-api)** — Domain to company intel (employee count, industry, tech stack). $0.01 per company. Pairs with hire-trigger data for full account profiling. Full portfolio: [apify.com/george.the.developer](https://apify.com/george.the.developer). ### License MIT. # Actor input Schema ## `company` (type: `string`): Company domain to pull jobs for (e.g. 'stripe.com', 'notion.so'). Actor auto-discovers ATS platform. ## `keyword` (type: `string`): Optional keyword to filter jobs by title (e.g. 'sales engineer', 'devrel', 'controller') ## `days` (type: `integer`): Only return jobs posted in the last N days (1-90) ## `country` (type: `string`): Optional ISO country code filter (US, UK, CA, AU, DE etc.) ## `limit` (type: `integer`): Maximum number of jobs to return (1-500) ## `enrichment` (type: `string`): 'basic' returns raw jobs, 'full' adds tech-keyword extraction, hiring-surge flags, first-in-function detection ## `companies` (type: `array`): Optional: array of company domains to enrich in bulk (max 50) ## Actor input object example ```json { "company": "stripe.com", "days": 14, "country": "US", "limit": 50, "enrichment": "full" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("george.the.developer/ats-hire-trigger-intent-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("george.the.developer/ats-hire-trigger-intent-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call george.the.developer/ats-hire-trigger-intent-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=george.the.developer/ats-hire-trigger-intent-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ATS Hire-Trigger Intent Scraper", "description": "Pull jobs from Greenhouse, Lever, Ashby, Workday, SmartRecruiters in one unified API. Intent-enriched with tech-keyword extraction, hiring-surge detection, and first-in-function flags. Pay per result.", "version": "1.0", "x-build-id": "VAIvVawjRezAPdJ6Q" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/george.the.developer~ats-hire-trigger-intent-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-george.the.developer-ats-hire-trigger-intent-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/george.the.developer~ats-hire-trigger-intent-scraper/runs": { "post": { "operationId": "runs-sync-george.the.developer-ats-hire-trigger-intent-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/george.the.developer~ats-hire-trigger-intent-scraper/run-sync": { "post": { "operationId": "run-sync-george.the.developer-ats-hire-trigger-intent-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "company": { "title": "Company Domain", "type": "string", "description": "Company domain to pull jobs for (e.g. 'stripe.com', 'notion.so'). Actor auto-discovers ATS platform.", "default": "stripe.com" }, "keyword": { "title": "Job Keyword", "type": "string", "description": "Optional keyword to filter jobs by title (e.g. 'sales engineer', 'devrel', 'controller')" }, "days": { "title": "Days Window", "minimum": 1, "maximum": 90, "type": "integer", "description": "Only return jobs posted in the last N days (1-90)", "default": 14 }, "country": { "title": "Country Filter", "type": "string", "description": "Optional ISO country code filter (US, UK, CA, AU, DE etc.)", "default": "US" }, "limit": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of jobs to return (1-500)", "default": 50 }, "enrichment": { "title": "Enrichment Level", "enum": [ "basic", "full" ], "type": "string", "description": "'basic' returns raw jobs, 'full' adds tech-keyword extraction, hiring-surge flags, first-in-function detection", "default": "full" }, "companies": { "title": "Bulk Companies", "maxItems": 50, "type": "array", "description": "Optional: array of company domains to enrich in bulk (max 50)", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```