# Job Board Scraper (AI) (`lizzyyy2/hiring-signals-ai`) Actor Turn any company's public job board (Greenhouse, Lever, Ashby) into AI hiring signals: open roles, department growth, tech stack, a buying-intent summary and a personalized sales opener. Built-in AI, no API key. - **URL**: https://apify.com/lizzyyy2/hiring-signals-ai.md - **Developed by:** [Lizzy](https://apify.com/lizzyyy2) (community) - **Categories:** Lead generation, AI, Developer tools - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $6.00 / 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.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 ## Hiring Signals — Jobs to Sales Intelligence (AI) Turn any company's **public job board** into **buying-intent signals**. Give it a list of companies (Greenhouse, Lever, or Ashby) and get back their open roles **plus** an AI read of what their hiring says: where they're growing, their likely tech stack, a buying-intent summary, a sales angle, and a personalized outreach opener. Built-in AI. **No OpenAI / OpenRouter API key required.** --- ### Why hiring is the best buying signal What a company hires for tells you what it's about to spend on: - Hiring a **Head of RevOps / Sales Ops** → investing in sales tooling & data. - Hiring **5 backend engineers** → scaling infrastructure, needs dev tools/cloud. - Hiring **Demand Gen / Content** → ramping marketing spend. Most job scrapers just dump raw listings. This actor reads the **public, no-auth job-board APIs** (no anti-bot pain) and adds the layer that matters: **what it means for you**. | | Raw job scrapers | **Hiring Signals (AI)** | |---|:---:|:---:| | Open roles, departments, locations | ✅ | ✅ | | Reliable public APIs (no anti-bot) | ⚠️ | ✅ | | Growth / momentum signal | ❌ | ✅ | | Inferred tech stack | ❌ | ✅ | | Buying-intent summary + sales angle | ❌ | ✅ | | Personalized outreach opener | ❌ | ✅ | | Works with **no API key** | — | ✅ | Pairs perfectly with **AI Lead Enricher**: find hiring signals here → enrich the company there. --- ### Input | Field | Type | Description | |---|---|---| | `companies` | array (required) | Board URLs (`https://boards.greenhouse.io/gitlab`, `https://jobs.ashbyhq.com/ramp`, `https://jobs.lever.co/plaid`), `provider:token` (`greenhouse:gitlab`), or a bare token to auto-detect. | | `keywords` | array | Keep only jobs whose title contains one of these words (e.g. `sales`, `engineer`). Empty = all. | | `locationFilter` | string | Keep only jobs whose location contains this text (e.g. `Remote`, `London`). | | `maxJobsPerCompany` | integer (1–200) | How many roles to read per company. Default `50`. | | `aiSignals` | boolean | Turn on built-in AI analysis. Default `true`. | | `offerDescription` | string | What you sell — the AI ties each company's hiring to your offer and writes a personalized opener. | | `aiLanguage` | string | Language for AI text. Default `English`. | | `proxyConfiguration` | object | Optional. The job-board APIs are public and usually need no proxy. | #### Example input ```json { "companies": ["greenhouse:gitlab", "ashby:ramp", "https://jobs.lever.co/plaid"], "keywords": ["sales", "account executive", "revops"], "maxJobsPerCompany": 50, "offerDescription": "We sell a sales-engagement platform that automates outbound and books 2x more meetings.", "aiLanguage": "English" } ```` *** ### Output Two record types per company: **`company_signal`** — one AI summary row per company: ```json { "recordType": "company_signal", "company": "GitLab", "provider": "greenhouse", "openRoles": 37, "departmentBreakdown": { "Sales": 12, "Engineering": 18, "Marketing": 7 }, "growthSignal": "Strong commercial expansion — sales hiring outpaces engineering.", "topHiringAreas": ["Sales", "Engineering", "Marketing"], "techStack": ["Ruby on Rails", "Kubernetes", "PostgreSQL"], "hiringSignalSummary": "Heavy AE hiring across regions signals a push to scale outbound revenue.", "salesAngle": "Position around faster ramp time for new AEs and pipeline efficiency.", "personalizedOpener": "Noticed GitLab is hiring AEs across EMEA — as you scale outbound, teams usually...", "aiAnalyzed": true } ``` **`job`** — one row per open role: ```json { "recordType": "job", "company": "GitLab", "title": "Account Executive - Italy", "department": "Sales", "location": "Remote, Italy", "remote": true, "seniority": "Mid", "category": "Sales", "url": "https://job-boards.greenhouse.io/gitlab/jobs/8503792002", "postedAt": "2026-04-17T05:58:03-04:00" } ``` *** ### How it works 1. Parses each company entry → provider + token (or auto-detects Greenhouse → Ashby → Lever). 2. Reads the provider's **public job-board API** (no key, no anti-bot). 3. Filters by your keywords / location and computes a department breakdown. 4. Runs **one AI call per company** to derive growth signals, tech stack, buying-intent summary, sales angle and a personalized opener — and to classify each role's seniority/category. 5. Saves a company-level signal row plus one row per open role. Companies with an invalid token or empty board are skipped (and logged). *** ### Tips - Monitor target accounts on a **schedule** to catch new roles (= fresh buying signals) as they appear. - Add an `offerDescription` to get openers tailored to *your* product. - Use `keywords` like `revops`, `procurement`, `data` to surface only the roles that signal demand for what you sell. *** ### FAQ **Do I need an API key for the AI?** No. The AI analysis runs on Apify's built-in model — there's no OpenAI / OpenRouter key to manage. Just toggle `aiSignals` on. **Which job boards are supported?** Greenhouse, Lever, and Ashby — the three most common public, no-auth job-board APIs. Pass a board URL, a `provider:token` pair, or a bare token to auto-detect. **Will I get blocked or hit anti-bot walls?** No. This reads the providers' **public job-board APIs**, not the rendered website, so there's no anti-bot pain and no proxy needed in most cases. **What if a company isn't on one of these three providers?** It's skipped and logged. Most venture-backed and mid-market companies use one of the three, so coverage is high for B2B prospecting. **Can I turn the AI off?** Yes. Set `aiSignals` to `false` to get just the structured roles + department breakdown with no AI cost. *** ### Related Actors — build a full pipeline This Actor is the **"find the signal"** step. Pair it with the others to go from intent → enriched contact → outreach: - **Find the signal → enrich the company:** Run **Hiring Signals (this Actor)** to spot companies hiring for what you sell, then feed those companies into the **AI Lead Enricher** to pull their site profile, emails, socials and a personalized cold-email opener. *Önce sinyal bul → sonra enrich et.* - **Hiring Signals + AI Lead Enricher** = a complete outbound list: who's in buying mode, why, and how to contact them. > Workflow: **Hiring Signals (intent)** → **AI Lead Enricher (contact + opener)** → your CRM / sequencer. # Actor input Schema ## `companies` (type: `array`): Companies whose public job board you want to analyze. Use a board URL (e.g. https://boards.greenhouse.io/gitlab, https://jobs.ashbyhq.com/ramp, https://jobs.lever.co/plaid), or `provider:token` (e.g. greenhouse:gitlab, ashby:ramp, lever:plaid), or just a token to auto-detect the provider. ## `keywords` (type: `array`): Only keep jobs whose title contains one of these words (e.g. sales, account executive, engineer). Leave empty to keep all roles. ## `locationFilter` (type: `string`): Only keep jobs whose location contains this text (e.g. Remote, London, United States). Leave empty for all locations. ## `maxJobsPerCompany` (type: `integer`): How many open roles to read per company. 1-200. ## `aiSignals` (type: `boolean`): Use built-in AI to detect growth signals, tech stack, a buying-intent summary, a sales angle and a personalized opener for each company. No API key needed. ## `offerDescription` (type: `string`): Briefly describe your product/service. The AI ties each company's hiring to your offer and writes a personalized sales opener. Leave empty for a generic angle. ## `aiLanguage` (type: `string`): Language for AI-generated text (e.g. English, German, Turkish). ## `proxyConfiguration` (type: `object`): Optional. Job-board APIs are public and usually need no proxy. ## Actor input object example ```json { "companies": [ "greenhouse:gitlab", "ashby:ramp" ], "maxJobsPerCompany": 50, "aiSignals": true, "aiLanguage": "English", "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `signals` (type: `string`): Company-level hiring signals and individual open roles in the default dataset. # 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 = { "companies": [ "greenhouse:gitlab", "ashby:ramp" ] }; // Run the Actor and wait for it to finish const run = await client.actor("lizzyyy2/hiring-signals-ai").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 = { "companies": [ "greenhouse:gitlab", "ashby:ramp", ] } # Run the Actor and wait for it to finish run = client.actor("lizzyyy2/hiring-signals-ai").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 '{ "companies": [ "greenhouse:gitlab", "ashby:ramp" ] }' | apify call lizzyyy2/hiring-signals-ai --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lizzyyy2/hiring-signals-ai", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Job Board Scraper (AI)", "description": "Turn any company's public job board (Greenhouse, Lever, Ashby) into AI hiring signals: open roles, department growth, tech stack, a buying-intent summary and a personalized sales opener. Built-in AI, no API key.", "version": "0.1", "x-build-id": "lZixZaLYON5GI3n79" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lizzyyy2~hiring-signals-ai/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lizzyyy2-hiring-signals-ai", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lizzyyy2~hiring-signals-ai/runs": { "post": { "operationId": "runs-sync-lizzyyy2-hiring-signals-ai", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lizzyyy2~hiring-signals-ai/run-sync": { "post": { "operationId": "run-sync-lizzyyy2-hiring-signals-ai", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "companies" ], "properties": { "companies": { "title": "Companies / job boards", "minItems": 1, "type": "array", "description": "Companies whose public job board you want to analyze. Use a board URL (e.g. https://boards.greenhouse.io/gitlab, https://jobs.ashbyhq.com/ramp, https://jobs.lever.co/plaid), or `provider:token` (e.g. greenhouse:gitlab, ashby:ramp, lever:plaid), or just a token to auto-detect the provider.", "items": { "type": "string" } }, "keywords": { "title": "Title keywords (optional filter)", "type": "array", "description": "Only keep jobs whose title contains one of these words (e.g. sales, account executive, engineer). Leave empty to keep all roles.", "items": { "type": "string" } }, "locationFilter": { "title": "Location filter (optional)", "type": "string", "description": "Only keep jobs whose location contains this text (e.g. Remote, London, United States). Leave empty for all locations." }, "maxJobsPerCompany": { "title": "Max jobs per company", "minimum": 1, "maximum": 200, "type": "integer", "description": "How many open roles to read per company. 1-200.", "default": 50 }, "aiSignals": { "title": "AI hiring signals (premium)", "type": "boolean", "description": "Use built-in AI to detect growth signals, tech stack, a buying-intent summary, a sales angle and a personalized opener for each company. No API key needed.", "default": true }, "offerDescription": { "title": "What you sell (for personalization)", "type": "string", "description": "Briefly describe your product/service. The AI ties each company's hiring to your offer and writes a personalized sales opener. Leave empty for a generic angle." }, "aiLanguage": { "title": "AI output language", "type": "string", "description": "Language for AI-generated text (e.g. English, German, Turkish).", "default": "English" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional. Job-board APIs are public and usually need no proxy.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```