# Hiring Signal Leads — B2B Buying Signals from Job Boards (`jgdata/hiring-signal-leads`) Actor Companies actively hiring are companies with budget. Turn any prospect list into scored B2B leads from public job boards on 5 ATS platforms: open roles, hiring velocity, department growth, HOT/WARM/COLD score with quotable evidence. Only pay for leads delivered. - **URL**: https://apify.com/jgdata/hiring-signal-leads.md - **Developed by:** [Jack Gendron](https://apify.com/jgdata) (community) - **Categories:** Lead generation, Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $50.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Hiring Signal Leads — B2B Buying Signals from Job Boards **Companies actively hiring are companies with budget.** This Actor turns any company's public job board into a scored B2B lead record — open-role counts, hiring velocity, department growth, and roles matching what *you* sell — across **5 ATS platforms**: Greenhouse, Lever, Ashby, Workable, SmartRecruiters. Built on official public job-board APIs: HTTP-only, no proxies, no anti-bot breakage. You are only charged for lead records actually delivered — companies below your thresholds are skipped free. ### What you get — one scored lead per company ```json { "company": "Blueground", "leadScore": "HOT", "totalOpenRoles": 29, "recentRoles": 4, "matchingRoles": 1, "departmentsHiring": 2, "topDepartments": [{ "name": "City Core", "count": 20 }], "signals": [ "Scaling fast: 29 open roles", "4 role(s) posted in last 30 days", "1 role(s) matching your keywords — direct buying signal" ], "sampleJobs": [{ "title": "Junior Account Executive", "applyUrl": "..." }] } ```` ### Why hiring data beats cold lists - A company hiring **5 SDRs** is buying sales tools *this quarter*. - A company hiring **DevOps engineers** has infrastructure budget *now*. - A company hiring across **4+ departments** is in growth mode — every vendor's best moment. Feed it your prospect list, set `roleKeywords` to the roles your buyers hire for, and get back a prioritized HOT/WARM/COLD queue with evidence your SDRs can quote in the first line of an email. ### How scoring works - **HOT** — multiple roles matching your keywords, or a keyword match plus high recent velocity - **WARM** — some keyword match, high velocity, or large-scale hiring (20+ roles) - **COLD** — hiring, but no strong signal for you Tune with `recentDays`, `minOpenRoles`, and `hotOnly` (skipped companies are never charged). ### Input example ```json { "sources": ["greenhouse:stripe", "lever:palantir", "ashby:ramp"], "roleKeywords": ["sales", "account executive"], "recentDays": 30, "hotOnly": true } ``` `sources` accepts `platform:slug` or a pasted careers URL (auto-detected). ### Monitor mode Schedule it daily/weekly over your full prospect list and pipe HOT leads to Slack, Sheets, or your CRM via Apify integrations — a standing hiring-signal radar for your territory. ### Related Want the raw postings instead of scored leads? Use the companion **ATS Jobs Scraper** for full per-job records (title, location, salary, description) from the same 5 platforms. # Actor input Schema ## `sources` (type: `array`): One entry per company: `platform:slug` (e.g. `greenhouse:stripe`, `lever:palantir`, `ashby:ramp`, `workable:blueground`, `smartrecruiters:servicenow`) or a careers-board URL — platform auto-detected. ## `roleKeywords` (type: `array`): Keywords matched against job titles to compute the `matchingRoles` signal — e.g. `sales`, `marketing`, `devops`. If your product sells to sales teams, companies hiring salespeople are your hottest leads. Leave empty to score on overall hiring only. ## `recentDays` (type: `integer`): Postings published within this many days count as 'recent' for hiring-velocity scoring. ## `minOpenRoles` (type: `integer`): Skip companies with fewer total open roles than this (no lead record, no charge). ## `hotOnly` (type: `boolean`): Only output companies scored HOT. ## `includeSampleJobs` (type: `boolean`): Attach up to 5 matching job titles + apply URLs to each lead as evidence. ## Actor input object example ```json { "sources": [ "greenhouse:stripe", "lever:palantir", "ashby:ramp" ], "recentDays": 30, "minOpenRoles": 1, "hotOnly": false, "includeSampleJobs": true } ``` # 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 = { "sources": [ "greenhouse:stripe", "lever:palantir", "ashby:ramp" ] }; // Run the Actor and wait for it to finish const run = await client.actor("jgdata/hiring-signal-leads").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 = { "sources": [ "greenhouse:stripe", "lever:palantir", "ashby:ramp", ] } # Run the Actor and wait for it to finish run = client.actor("jgdata/hiring-signal-leads").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 '{ "sources": [ "greenhouse:stripe", "lever:palantir", "ashby:ramp" ] }' | apify call jgdata/hiring-signal-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jgdata/hiring-signal-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hiring Signal Leads — B2B Buying Signals from Job Boards", "description": "Companies actively hiring are companies with budget. Turn any prospect list into scored B2B leads from public job boards on 5 ATS platforms: open roles, hiring velocity, department growth, HOT/WARM/COLD score with quotable evidence. Only pay for leads delivered.", "version": "1.0", "x-build-id": "ma4hVahDWApOOjJGK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jgdata~hiring-signal-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jgdata-hiring-signal-leads", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jgdata~hiring-signal-leads/runs": { "post": { "operationId": "runs-sync-jgdata-hiring-signal-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jgdata~hiring-signal-leads/run-sync": { "post": { "operationId": "run-sync-jgdata-hiring-signal-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "sources" ], "properties": { "sources": { "title": "Companies / job boards", "type": "array", "description": "One entry per company: `platform:slug` (e.g. `greenhouse:stripe`, `lever:palantir`, `ashby:ramp`, `workable:blueground`, `smartrecruiters:servicenow`) or a careers-board URL — platform auto-detected.", "items": { "type": "string" } }, "roleKeywords": { "title": "Role keywords (what you sell into)", "type": "array", "description": "Keywords matched against job titles to compute the `matchingRoles` signal — e.g. `sales`, `marketing`, `devops`. If your product sells to sales teams, companies hiring salespeople are your hottest leads. Leave empty to score on overall hiring only.", "items": { "type": "string" } }, "recentDays": { "title": "Recency window (days)", "minimum": 1, "type": "integer", "description": "Postings published within this many days count as 'recent' for hiring-velocity scoring.", "default": 30 }, "minOpenRoles": { "title": "Minimum open roles", "minimum": 0, "type": "integer", "description": "Skip companies with fewer total open roles than this (no lead record, no charge).", "default": 1 }, "hotOnly": { "title": "Only HOT leads", "type": "boolean", "description": "Only output companies scored HOT.", "default": false }, "includeSampleJobs": { "title": "Include sample job titles", "type": "boolean", "description": "Attach up to 5 matching job titles + apply URLs to each lead as evidence.", "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 } } } } } } } } } } ```