# Multi-ATS Hiring Intent Monitor (`tstark84/multi-ats-hiring-intent-monitor`) Actor Monitor public ATS job boards and turn hiring activity into B2B buying-intent signals. - **URL**: https://apify.com/tstark84/multi-ats-hiring-intent-monitor.md - **Developed by:** [Tony Starky](https://apify.com/tstark84) (community) - **Categories:** Lead generation, Jobs, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 hiring-intent leads This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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 ## Multi-ATS Hiring Intent Monitor Monitor public ATS job boards and convert hiring activity into structured B2B buying-intent signals. This Actor is designed for sales teams, agencies, recruiters, market researchers, and founders who want to understand which companies are actively investing in specific functions such as AI, data, security, sales, marketing, customer support, engineering, finance, or HR. ### What it does The Actor scans public job boards from supported Applicant Tracking Systems and returns scored records that explain what each job posting may signal. Supported sources in v1: - Greenhouse public boards - Lever public postings - Ashby public job boards ### Why this is useful Raw job scrapers return postings. This Actor turns postings into signals: - hiring category - matched buying-intent keywords - seniority level - intent score - suggested seller angle Examples: - A company hiring many security/compliance roles may be evaluating security, GRC, or privacy tools. - A company hiring data engineers and analytics roles may need data stack, ETL, BI, or warehouse tools. - A company hiring customer support and implementation roles may be scaling customer operations. - A company hiring SDRs/AEs may be expanding outbound sales capacity. ### Input ```json { "atsBoards": [ { "ats": "greenhouse", "company": "Stripe", "token": "stripe" }, { "ats": "greenhouse", "company": "Airbnb", "token": "airbnb" }, { "ats": "ashby", "company": "Perplexity", "token": "perplexity" } ], "targetKeywords": ["sales", "security", "data", "ai", "revops"], "minIntentScore": 35, "maxJobsPerSource": 250, "maxTotalResults": 1000, "maxConcurrency": 5, "requestTimeoutSecs": 30, "intentKeywordMap": {} } ```` #### `atsBoards` Each board must include: | Field | Required | Description | |---|---:|---| | `ats` | yes | `greenhouse`, `lever`, or `ashby` | | `company` | yes | Human-readable company name for output | | `token` | yes unless `url` is used | ATS board slug/token | | `url` | optional | Direct API URL or supported public board URL | Examples: ```json { "ats": "greenhouse", "company": "Stripe", "token": "stripe" } { "ats": "lever", "company": "ExampleCo", "token": "exampleco" } { "ats": "ashby", "company": "Perplexity", "token": "perplexity" } ``` #### Custom scoring Add your own category keywords with `intentKeywordMap`: ```json { "intentKeywordMap": { "healthcare_it": ["epic", "hl7", "hipaa", "clinical data"], "warehouse_ops": ["warehouse", "fulfillment", "inventory manager"] } } ``` ### Output Each dataset item includes: ```json { "sourceAts": "greenhouse", "company": "Stripe", "title": "Account Executive, AI Sales", "department": "Sales", "location": "New York, NY", "jobUrl": "https://stripe.com/jobs/search?gh_jid=...", "jobId": "123456", "publishedAt": "2026-07-06T...Z", "intentCategories": ["ai_ml", "sales_growth"], "matchedKeywords": ["account executive", "artificial intelligence", "sales"], "targetKeywordMatches": ["sales", "ai"], "seniority": "unknown", "intentScore": 55, "suggestedSalesAngle": "AI/ML tooling, model ops, data infrastructure, or automation vendors may have a fit.", "scrapedAt": "2026-07-06T15:30:00Z" } ``` ### Built-in categories - `ai_ml` - `data` - `security` - `sales_growth` - `marketing_growth` - `customer_support` - `engineering` - `finance_ops` - `hr_recruiting` ### Notes and responsible use - This Actor uses public job-board data only. - It does not scrape private profiles or login-only information. - It does not enrich personal contact details. - Treat scores as signals, not facts. Review source postings before making business decisions. ### Limitations - ATS APIs and public boards can change. - Workday and custom career pages are not supported in v1. - Some boards may be empty, private, renamed, or blocked. - Scoring is rule-based in v1; future versions may add optional AI summaries. # Actor input Schema ## `atsBoards` (type: `array`): Public ATS boards to scan. Supported ats values: greenhouse, lever, ashby. ## `targetKeywords` (type: `array`): Extra keywords that increase the intent score when found in title, department, location, or description. ## `minIntentScore` (type: `integer`): Only output jobs with this score or higher. ## `maxJobsPerSource` (type: `integer`): Maximum number of jobs to fetch from each ATS board. ## `maxTotalResults` (type: `integer`): Maximum number of scored job-intent rows to write to the dataset. ## `maxConcurrency` (type: `integer`): Maximum number of ATS boards to request at the same time. ## `requestTimeoutSecs` (type: `integer`): HTTP request timeout for each ATS API call. ## `intentKeywordMap` (type: `object`): Optional object like {"category": \["keyword 1", "keyword 2"]}. These categories are added to the built-in scoring categories. ## Actor input object example ```json { "atsBoards": [ { "ats": "greenhouse", "company": "Stripe", "token": "stripe" }, { "ats": "greenhouse", "company": "Airbnb", "token": "airbnb" }, { "ats": "ashby", "company": "Perplexity", "token": "perplexity" } ], "targetKeywords": [ "sales", "security", "data", "ai", "revops" ], "minIntentScore": 0, "maxJobsPerSource": 250, "maxTotalResults": 1000, "maxConcurrency": 5, "requestTimeoutSecs": 30, "intentKeywordMap": {} } ``` # Actor output Schema ## `results` (type: `string`): Scored job postings with inferred hiring-intent categories, matched keywords, and suggested sales angles. ## `summary` (type: `string`): Counts for sources scanned, jobs found, results pushed, and errors. ## `errors` (type: `string`): Per-source errors, if any source failed while other sources continued. # 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 = { "atsBoards": [ { "ats": "greenhouse", "company": "Stripe", "token": "stripe" }, { "ats": "greenhouse", "company": "Airbnb", "token": "airbnb" }, { "ats": "ashby", "company": "Perplexity", "token": "perplexity" } ], "targetKeywords": [ "sales", "security", "data", "ai", "revops" ] }; // Run the Actor and wait for it to finish const run = await client.actor("tstark84/multi-ats-hiring-intent-monitor").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 = { "atsBoards": [ { "ats": "greenhouse", "company": "Stripe", "token": "stripe", }, { "ats": "greenhouse", "company": "Airbnb", "token": "airbnb", }, { "ats": "ashby", "company": "Perplexity", "token": "perplexity", }, ], "targetKeywords": [ "sales", "security", "data", "ai", "revops", ], } # Run the Actor and wait for it to finish run = client.actor("tstark84/multi-ats-hiring-intent-monitor").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 '{ "atsBoards": [ { "ats": "greenhouse", "company": "Stripe", "token": "stripe" }, { "ats": "greenhouse", "company": "Airbnb", "token": "airbnb" }, { "ats": "ashby", "company": "Perplexity", "token": "perplexity" } ], "targetKeywords": [ "sales", "security", "data", "ai", "revops" ] }' | apify call tstark84/multi-ats-hiring-intent-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=tstark84/multi-ats-hiring-intent-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Multi-ATS Hiring Intent Monitor", "description": "Monitor public ATS job boards and turn hiring activity into B2B buying-intent signals.", "version": "0.1", "x-build-id": "VlXDqNRTIgXBfhbZG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/tstark84~multi-ats-hiring-intent-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-tstark84-multi-ats-hiring-intent-monitor", "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/tstark84~multi-ats-hiring-intent-monitor/runs": { "post": { "operationId": "runs-sync-tstark84-multi-ats-hiring-intent-monitor", "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/tstark84~multi-ats-hiring-intent-monitor/run-sync": { "post": { "operationId": "run-sync-tstark84-multi-ats-hiring-intent-monitor", "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", "required": [ "atsBoards" ], "properties": { "atsBoards": { "title": "ATS boards", "type": "array", "description": "Public ATS boards to scan. Supported ats values: greenhouse, lever, ashby." }, "targetKeywords": { "title": "Target keywords", "type": "array", "description": "Extra keywords that increase the intent score when found in title, department, location, or description.", "items": { "type": "string" } }, "minIntentScore": { "title": "Minimum intent score", "minimum": 0, "maximum": 100, "type": "integer", "description": "Only output jobs with this score or higher.", "default": 0 }, "maxJobsPerSource": { "title": "Maximum jobs per source", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of jobs to fetch from each ATS board.", "default": 250 }, "maxTotalResults": { "title": "Maximum total output rows", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum number of scored job-intent rows to write to the dataset.", "default": 1000 }, "maxConcurrency": { "title": "Maximum concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of ATS boards to request at the same time.", "default": 5 }, "requestTimeoutSecs": { "title": "Request timeout seconds", "minimum": 5, "maximum": 120, "type": "integer", "description": "HTTP request timeout for each ATS API call.", "default": 30 }, "intentKeywordMap": { "title": "Custom intent keyword map", "type": "object", "description": "Optional object like {\"category\": [\"keyword 1\", \"keyword 2\"]}. These categories are added to the built-in scoring categories.", "default": {} } } }, "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 } } } } } } } } } } ```