# LinkedIn Job Details Scraper - Job Posting by URL, No Login (`aolmo/linkedin-job-details`) Actor Full details of LinkedIn job postings by URL or id, without login: title, company, location, posting date, applicants, salary, full description, seniority, employment type, industries, apply link and whether the job is still open. Scheduled runs flag closed or changed jobs. $0.001 per job. - **URL**: https://apify.com/aolmo/linkedin-job-details.md - **Developed by:** [Antonio del Olmo Tena](https://apify.com/aolmo) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 job scrapeds 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README Get the full details of any public LinkedIn job posting from its URL or id, without login, cookies or a browser. Paste job URLs (or the numeric ids) and get one row per job with title, company, location, posting date, applicant count, salary when LinkedIn shows it, the full description as plain text, seniority, employment type, job function, industries, the external apply link and whether the job is still accepting applications. Job enrichment for ATS and CRM tools, recruiting research, salary studies and monitoring of specific postings at $0.001 per job. The Actor reads the same public job page LinkedIn serves to visitors who are not logged in, so it is fast, cheap and puts no account at risk. Schedule it and closed or changed jobs are flagged. ### What you get **Job** (one row each): `id`, `url`, `title`, `company`, `companyUrl`, `companyLogo`, `location`, `postedAt` (approximate ISO date), `postedText` (`6 days ago`), `salary`, `benefits`, `description`, `seniority`, `employmentType`, `jobFunction`, `industries`, `applicants`, `applyUrl` (the company's own application page when the job applies outside LinkedIn) and `closed` (true when the posting no longer accepts applications). **Changes** on scheduled runs: `changedFields` lists what changed since the previous run (`closed`, `applicants`, `title`, `company`, `location`, `salary`, `seniority`, `employmentType`); it is empty on the first run. Jobs that do not exist, were removed or need login return a row with an `error` field and are not charged. ### How to use it 1. Open the **Input** tab. 2. Add **Job URLs or ids**, one per line (up to 1,000 per run): `https://www.linkedin.com/jobs/view/4478456660/`, `https://www.linkedin.com/jobs/view/data-engineer-at-huspy-4478456660`, a search URL with `currentJobId=` or just `4478456660`. 3. Click **Start** and export the rows as JSON, CSV or Excel. 4. Schedule the Actor to be told when a posting closes or changes. ### Input ```json { "jobUrls": ["https://www.linkedin.com/jobs/view/4478456660/", "4471341738"] } ``` ### Output ```json { "id": "4478456660", "url": "https://www.linkedin.com/jobs/view/4478456660/", "title": "Data Engineer", "company": "Huspy", "companyUrl": "https://ae.linkedin.com/company/huspy", "companyLogo": "https://media.licdn.com/dms/image/.../company-logo_100_100/...", "location": "Madrid, Community of Madrid, Spain", "postedAt": "2026-10-15T09:12:00.000Z", "postedText": "6 days ago", "salary": null, "description": "The Story So Far: We're building a global brand in real estate...", "seniority": "Entry level", "employmentType": "Full-time", "jobFunction": null, "industries": "Real Estate", "applicants": "28 applicants", "applyUrl": "https://jobs.huspy.com/...", "closed": false, "changedFields": [], "timestamp": "2026-10-21T10:00:00.000Z" } ``` ### Pricing Pay per event: **$0.001 per job** and **$0.0005 per job that closed or changed** on a scheduled run. Jobs that cannot be read are free. 1,000 job postings cost $1.00. ### Limits and notes - LinkedIn shows visitors the posting date as relative text ("6 days ago"); `postedAt` is computed from it and is approximate. - Salary and benefits appear only when the posting shows them publicly. - Postings removed by LinkedIn return an error row; closed postings are still served and return `closed: true`. - The Actor never bypasses logins, CAPTCHAs or rate limits. ### Related Actors - **LinkedIn Jobs Scraper**: search jobs by keyword, location and filters. - **LinkedIn Company Scraper** and **LinkedIn Company Leads Scraper**: details and website contacts of the hiring companies. - **Company Jobs Scraper (ATS)**: open positions listed on Greenhouse, Lever, Workable and other career sites. # Actor input Schema ## `jobUrls` (type: `array`): One per line: https://www.linkedin.com/jobs/view/4478456660/, a job URL with its title (/jobs/view/data-engineer-at-huspy-4478456660), a search URL with currentJobId=, or the numeric id. Up to 1,000 per run. ## `product` (type: `string`): Internal. Leave as is. ## Actor input object example ```json { "jobUrls": [ "https://www.linkedin.com/jobs/view/4478456660/", "https://www.linkedin.com/jobs/view/4471341738/", "4479167219" ], "product": "linkedin-job-details" } ``` # Actor output Schema ## `results` (type: `string`): Dataset items: url, changed, events, data, timestamp and error (when the target failed). # 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 = { "jobUrls": [ "https://www.linkedin.com/jobs/view/4478456660/", "https://www.linkedin.com/jobs/view/4471341738/", "4479167219" ] }; // Run the Actor and wait for it to finish const run = await client.actor("aolmo/linkedin-job-details").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 = { "jobUrls": [ "https://www.linkedin.com/jobs/view/4478456660/", "https://www.linkedin.com/jobs/view/4471341738/", "4479167219", ] } # Run the Actor and wait for it to finish run = client.actor("aolmo/linkedin-job-details").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "jobUrls": [ "https://www.linkedin.com/jobs/view/4478456660/", "https://www.linkedin.com/jobs/view/4471341738/", "4479167219" ] }' | apify call aolmo/linkedin-job-details --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,aolmo/linkedin-job-details" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/DcQB3W1TK1YF8VYZZ/builds/vw7ZoR0xaZEIzONp8/openapi.json