# Company Job Postings Scraper (`modular_enrichment/my-actor`) Actor Extract live job postings from company career pages (Greenhouse, Lever, Ashby, Workable, Recruitee, SmartRecruiters). Clean, normalized JSON with salaries, locations, remote flags. Company-level hiring data — no LinkedIn, no personal data. - **URL**: https://apify.com/modular\_enrichment/my-actor.md - **Developed by:** [Kurt Blair](https://apify.com/modular_enrichment) (community) - **Categories:** Jobs, Lead generation, Developer tools - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 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 ## Job Postings Scraper — Company Career Pages (Greenhouse, Lever, Ashby & more) Extract **live job postings directly from company career pages** — the hiring data source that never needs LinkedIn or Indeed. Point the Actor at any list of companies and get a clean, normalized dataset of every open role: title, department, locations, remote status, employment type, **salary ranges**, posting dates, and application URLs. Supports the ATS platforms behind most tech & startup career pages: | Platform | Coverage | Salary data | Detection | |---|---|---|---| | **Greenhouse** | Full board | Pay ranges where published | ✅ auto | | **Lever** | Full board | Structured `salaryRange` where published | ✅ auto | | **Ashby** | Full board | Structured compensation tiers | ✅ auto | | **Workable** | Full board | Parsed from description | ✅ auto | | **Recruitee** | Full board | Structured where published | ✅ auto | | **SmartRecruiters** | Full board (paginated) | Parsed from description | ✅ auto | ### Why scrape career pages instead of job boards? - **Fresher**: postings appear on the company's own board before (and sometimes instead of) aggregators. - **Complete**: no aggregator filtering — you see every public role, including the ones never syndicated. - **Compliant**: this Actor reads the same public, logged-out JSON endpoints the career pages themselves use. It collects **company-level data only** — job postings, not people. No LinkedIn, no Indeed, no personal data. - **Cheap**: no headless browser, no CAPTCHAs — results stream in seconds. ### What can you do with hiring data? - **Sales signals / ABM**: a company hiring "Salesforce Administrator" is buying Salesforce tooling. Route accounts to your reps the week the signal appears. - **Recruiting & talent intel**: track which competitors are hiring, for what roles, where, and at what salary bands. - **Market & investment research**: headcount growth by function is a leading indicator. Watch a portfolio or a whole sector. - **Job boards & aggregators**: build a niche job board from the source of truth. - **AI agents & RAG**: clean JSON, stable schema — pipe it into your agent, vector DB, Clay table, or spreadsheet without post-processing. ### Input Three ways to specify a company — mix them freely: ```json { "companies": [ "https://jobs.lever.co/mistral", "greenhouse:vercel", "https://ramp.com", "linear" ], "remoteOnly": false, "titleKeywords": ["engineer", "data"], "maxTotalResults": 1000 } ```` 1. **ATS board URL** — fastest, zero ambiguity (`https://boards.greenhouse.io/vercel`, `https://jobs.ashbyhq.com/ramp`, …) 2. **`platform:slug`** — explicit pair (`lever:mistral`, `workable:acme`) 3. **Company website or bare name** — the Actor fetches the careers page, finds the ATS link automatically, and falls back to probing all six platforms. Optional filters: title keywords, location keywords, remote-only, posted-within-N-days, per-company and total result caps (cost control), full descriptions on/off. ### Output (real example rows) Data captured from live boards on 2026-07-21: | company | title | department | location | remote | salary | published | ats | |---|---|---|---|---|---|---|---| | Ramp | Security Engineer, Cloud | Engineering | New York, NY (HQ) (+ Miami, Remote US/CA) | true | $211.4K – $290.6K USD/yr | 2026-04-07 | ashby | | Vercel | Account Executive- Startups, Greenfield | — | Hybrid - San Francisco, New York City, Austin | false | — | 2025-08-19 | greenhouse | | Mistral | Account Executive – AI for Citizens | Business | Paris | false | — | 2025-07-28 | lever | Full JSON per job (real record, abbreviated description omitted via `includeDescription: false`): ```json { "company": "Ramp", "companySlug": "ramp", "ats": "ashby", "jobId": "34413f8d-26bf-4bbc-8ade-eb309a0e2245", "title": "Security Engineer, Cloud", "department": "Engineering", "team": "Backend", "employmentType": "FullTime", "location": "New York, NY (HQ)", "allLocations": ["New York, NY (HQ)", "Miami, FL", "Remote (US)", "Remote (Canada)"], "country": "USA", "isRemote": true, "workplaceType": "Hybrid", "salaryMin": 211400, "salaryMax": 290600, "salaryCurrency": "USD", "salaryInterval": "year", "salarySummary": "$211.4K – $290.6K • Offers Equity", "publishedAt": "2026-04-07T17:12:35.753Z", "updatedAt": null, "url": "https://jobs.ashbyhq.com/ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245", "applyUrl": "https://jobs.ashbyhq.com/ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245/application", "sourceEndpoint": "https://api.ashbyhq.com/posting-api/job-board/ramp", "scrapedAt": "2026-07-21T00:19:43.009Z" } ``` Every field is present on every row (with `null` where the ATS doesn't publish it), so the dataset drops straight into Sheets, BigQuery, Clay, or a dataframe. ### Pricing & typical cost Pay per result — you only pay for jobs actually saved. Filters and caps (`maxTotalResults`, `maxJobsPerCompany`) are applied **before** billing, so a title-filtered run costs a fraction of a full dump. Monitoring 500 companies weekly at ~40 open roles each ≈ 20,000 results per run. ### Scheduling & integrations - **Schedule** the Actor (e.g. daily) and diff `jobId` sets downstream to detect newly opened/closed roles. - Use the **Apify API**, webhooks, or the dataset export (JSON, CSV, Excel) — plus native integrations with Make, Zapier, n8n, Google Sheets, and MCP for AI agents. ### FAQ **Is this legal?** The Actor reads public, logged-out JSON endpoints that the companies' own career pages call, and collects only company-level information (job postings). It does not touch LinkedIn, Indeed, or any personal data. **How do I find a company's board/slug?** Usually you don't need to — pass the company website and let auto-detection work. If you want to be explicit, open the company's careers page and copy the `jobs.lever.co/...`, `boards.greenhouse.io/...`, `jobs.ashbyhq.com/...` etc. link. **A company wasn't found. Why?** Either it uses an unsupported ATS (e.g. Workday, iCIMS, SAP SuccessFactors — on the roadmap), its board has no public roles, or its careers page hides the ATS link behind JavaScript. The run log lists every unresolved company with a tip. Passing the exact board URL always works. **Do I get salaries for every job?** Only where the company publishes them. Ashby and Lever expose structured compensation most often; for the rest the Actor parses ranges out of the description text ("$120,000 - $150,000", "€80k–100k", etc.). **What about descriptions?** Off by default to keep datasets light. Set `includeDescription: true` to get plain-text and HTML descriptions. (On SmartRecruiters this needs one extra request per job, so it's slower there.) **Rate limits / blocking?** The endpoints are public APIs designed for careers-page traffic; the Actor uses gentle concurrency, retries with backoff, and optional Apify Proxy. Runs are HTTP-only — no browser — so they're fast and cheap. **Which platforms are next?** Teamtailor, Personio, BambooHR, and JazzHR are the shortlist. Open an issue to vote. # Actor input Schema ## `companies` (type: `array`): One entry per company. Accepted formats: an ATS job-board URL (e.g. `https://jobs.lever.co/mistral`, `https://boards.greenhouse.io/vercel`, `https://jobs.ashbyhq.com/ramp`), an explicit `platform:slug` pair (e.g. `greenhouse:vercel`, `lever:mistral`, `ashby:ramp`, `workable:acme`, `recruitee:acme`, `smartrecruiters:Acme`), a company website / careers-page URL (e.g. `https://vercel.com` — the Actor auto-detects which ATS the company uses), or a bare slug (e.g. `vercel` — probed against all supported ATSs). ## `includeDescription` (type: `boolean`): If enabled, each job includes `description` (plain text) and `descriptionHtml`. Leave off for lighter, cheaper datasets when you only need titles, locations, and salaries. ## `titleKeywords` (type: `array`): Keep only jobs whose title contains at least one of these keywords (case-insensitive). Example: `engineer`, `sales`. Leave empty to keep all jobs. ## `locationKeywords` (type: `array`): Keep only jobs whose location, secondary locations, or country contains at least one of these keywords (case-insensitive). Example: `New York`, `Canada`, `EMEA`. ## `remoteOnly` (type: `boolean`): Keep only jobs detected as remote (from the ATS workplace-type field or the location text). ## `postedAfterDays` (type: `integer`): Keep only jobs first published within the last N days (where the ATS exposes a publish date). 0 = no date filter. Useful for fresh hiring signals. ## `maxJobsPerCompany` (type: `integer`): Cap the number of jobs saved per company. 0 = unlimited. ## `maxTotalResults` (type: `integer`): Hard cap on the total number of jobs saved across all companies (cost control for pay-per-result billing). 0 = unlimited. ## `proxyConfiguration` (type: `object`): Proxy settings. Apify datacenter proxy (default) is sufficient — the targeted endpoints are public JSON APIs and do not aggressively block. Only needed at all for very large company lists. ## Actor input object example ```json { "companies": [ "greenhouse:vercel", "lever:mistral", "ashby:ramp" ], "includeDescription": false, "remoteOnly": false, "postedAfterDays": 0, "maxJobsPerCompany": 0, "maxTotalResults": 0, "proxyConfiguration": { "useApifyProxy": 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 = { "companies": [ "greenhouse:vercel", "lever:mistral", "ashby:ramp" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("modular_enrichment/my-actor").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:vercel", "lever:mistral", "ashby:ramp", ], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("modular_enrichment/my-actor").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:vercel", "lever:mistral", "ashby:ramp" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call modular_enrichment/my-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=modular_enrichment/my-actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Company Job Postings Scraper", "description": "Extract live job postings from company career pages (Greenhouse, Lever, Ashby, Workable, Recruitee, SmartRecruiters). Clean, normalized JSON with salaries, locations, remote flags. Company-level hiring data — no LinkedIn, no personal data.", "version": "0.0", "x-build-id": "CISnXnmRu4d4PqtF7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/modular_enrichment~my-actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-modular_enrichment-my-actor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/modular_enrichment~my-actor/runs": { "post": { "operationId": "runs-sync-modular_enrichment-my-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/modular_enrichment~my-actor/run-sync": { "post": { "operationId": "run-sync-modular_enrichment-my-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "type": "array", "description": "One entry per company. Accepted formats: an ATS job-board URL (e.g. `https://jobs.lever.co/mistral`, `https://boards.greenhouse.io/vercel`, `https://jobs.ashbyhq.com/ramp`), an explicit `platform:slug` pair (e.g. `greenhouse:vercel`, `lever:mistral`, `ashby:ramp`, `workable:acme`, `recruitee:acme`, `smartrecruiters:Acme`), a company website / careers-page URL (e.g. `https://vercel.com` — the Actor auto-detects which ATS the company uses), or a bare slug (e.g. `vercel` — probed against all supported ATSs).", "items": { "type": "string" } }, "includeDescription": { "title": "Include full job descriptions", "type": "boolean", "description": "If enabled, each job includes `description` (plain text) and `descriptionHtml`. Leave off for lighter, cheaper datasets when you only need titles, locations, and salaries.", "default": false }, "titleKeywords": { "title": "Title keywords (any match)", "type": "array", "description": "Keep only jobs whose title contains at least one of these keywords (case-insensitive). Example: `engineer`, `sales`. Leave empty to keep all jobs.", "items": { "type": "string" } }, "locationKeywords": { "title": "Location keywords (any match)", "type": "array", "description": "Keep only jobs whose location, secondary locations, or country contains at least one of these keywords (case-insensitive). Example: `New York`, `Canada`, `EMEA`.", "items": { "type": "string" } }, "remoteOnly": { "title": "Remote jobs only", "type": "boolean", "description": "Keep only jobs detected as remote (from the ATS workplace-type field or the location text).", "default": false }, "postedAfterDays": { "title": "Posted within last N days", "minimum": 0, "maximum": 365, "type": "integer", "description": "Keep only jobs first published within the last N days (where the ATS exposes a publish date). 0 = no date filter. Useful for fresh hiring signals.", "default": 0 }, "maxJobsPerCompany": { "title": "Max jobs per company", "minimum": 0, "type": "integer", "description": "Cap the number of jobs saved per company. 0 = unlimited.", "default": 0 }, "maxTotalResults": { "title": "Max total results", "minimum": 0, "type": "integer", "description": "Hard cap on the total number of jobs saved across all companies (cost control for pay-per-result billing). 0 = unlimited.", "default": 0 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. Apify datacenter proxy (default) is sufficient — the targeted endpoints are public JSON APIs and do not aggressively block. Only needed at all for very large company lists.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```