# LinkedIn Jobs Scraper + Apollo Enrichment (`goc_706/my-actor`) Actor Scrape LinkedIn job listings and automatically enrich company data + find decision makers via Apollo.io. No login required. Outputs job details, company profiles, and contacts in Google Sheets-ready format. - **URL**: https://apify.com/goc\_706/my-actor.md - **Developed by:** [Minkesh Patel](https://apify.com/goc_706) (community) - **Categories:** Jobs, Lead generation - **Stats:** 7 total users, 5 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 ## LinkedIn Jobs Scraper + Apollo Enrichment Scrape LinkedIn job listings from **search URLs** or **direct job page URLs** — no login, no cookies required. Automatically enriches company data and finds decision maker contacts via Apollo.io. Built by **Minkesh Patel** | minkesh.patel@getoncrm.com | +917405042484 ### ✨ Key Features - **No login required** – uses LinkedIn's public guest API - **Dual input modes** – bulk scrape from search URLs OR scrape specific job pages - **Full job details** – title, company, location, salary, description, employment type, seniority, industry - **Job poster info** – recruiter name, title, and LinkedIn URL (via secondary page fetch) - **AI-ready summary** – each job includes a pre-formatted `jobSummary` field ready to paste into any AI tool - **Google Sheets ready** – flat JSON, exportable as CSV in one click - **Auto-deduplication** – no duplicate jobs even across multiple search pages - **Pagination support** – automatically scrapes multiple pages to reach your `maxJobs` target - **Location & filter aware** – respects location, remote/on-site, job type, date posted, and experience level filters from your search URL - **Apollo company enrichment** – website, phone, employee count, industry, tech stack, and more - **Apollo contact enrichment** – find decision makers by title at each company (FREE with Apollo key) ### 📋 Output Fields | Field | Description | |-------|-------------| | `jobId` | LinkedIn job ID | | `jobUrl` | Direct link to the job posting | | `title` | Job title | | `companyName` | Company name | | `companyLinkedinUrl` | LinkedIn company page URL | | `jobLocation` | Job location | | `postedAt` | When the job was posted | | `applicantsCount` | Number of applicants | | `employmentType` | Full-time, Part-time, Contract, etc. | | `seniorityLevel` | Entry, Mid, Senior, Director, etc. | | `jobFunction` | Job function category | | `industries` | Industry category | | `salary` | Salary range (if listed) | | `applyUrl` | External apply link | | `jobPosterName` | Recruiter / hiring manager name | | `jobPosterTitle` | Recruiter / hiring manager title | | `jobPosterLinkedinUrl` | Recruiter LinkedIn profile URL | | `descriptionText` | Full job description text | | `jobSummary` | AI-ready pre-formatted summary | | `apolloCompanyId` | Apollo.io company ID | | `companyWebsite` | Company website | | `companyPhone` | Company phone number | | `companyEmployeeCount` | Number of employees | | `companyIndustry` | Industry (from Apollo) | | `companyCity` / `companyState` / `companyCountry` | Company location | | `companyDescription` | Company description | | `companyTwitterUrl` | Company Twitter/X URL | | `companyFacebookUrl` | Company Facebook URL | | `companyAnnualRevenue` | Annual revenue (from Apollo) | | `companyTechStack` | Technologies used (from Apollo) | ### ⚙️ Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `searchUrls` | array | — | One or more LinkedIn job search URLs. Apply all your filters in LinkedIn first, then copy the URL. | | `directJobUrls` | array | — | Direct LinkedIn job page URLs to scrape specific postings. | | `maxJobs` | integer | 25 | Maximum number of jobs to scrape. The actor paginates automatically (10 jobs per page) to reach this limit. | | `scrapeJobDetails` | boolean | true | Fetch full job description and metadata. If disabled, only basic info is returned. | | `includeJobSummary` | boolean | true | Add a pre-formatted `jobSummary` field to each result. | | `apolloApiKey` | string | — | Your Apollo.io API key. Required for company and contact enrichment. | | `enrichContacts` | boolean | false | Enable Apollo People Search to find decision makers at each company. **FREE** – no Apollo credits required. Requires `apolloApiKey` and `contactTitles` to be set. | | `contactTitles` | array | — | Job titles to search for at each company (e.g. `["VP of Sales", "CTO", "Director of Engineering"]`). Required when `enrichContacts` is true. | | `contactsPerCompany` | integer | 3 | Max contacts to find per company (1–10). | | `enrichContactEmails` | boolean | false | Fetch verified email addresses for each contact. **Costs 1 Apollo credit per contact.** | | `enrichContactPhones` | boolean | false | Fetch phone numbers for each contact. **Costs 1 Apollo credit per contact.** | | `requestDelayMin` | integer | 3000 | Minimum delay between requests in ms (recommended: 3000+). | | `requestDelayMax` | integer | 8000 | Maximum delay between requests in ms. | ### 🔍 How Location & Filters Work The actor reads **all filter parameters directly from your search URL** — location, remote/on-site, job type, date posted, experience level, etc. are all passed through automatically. **Best practice:** Go to [linkedin.com/jobs/search](https://www.linkedin.com/jobs/search/), apply all the filters you need using LinkedIn's UI, then copy the full URL and paste it into `searchUrls`. Example URL with filters: ```` https://www.linkedin.com/jobs/search/?keywords=Salesforce+Revenue+Cloud\&location=Texas\&f\_WT=2\&f\_JT=F\&f\_TPR=r2592000 ```` - `location=Texas` → filters to Texas - `f_WT=2` → Remote only - `f_JT=F` → Full-time only - `f_TPR=r2592000` → Posted in last 30 days ### 💡 Example API Payload ```json { "searchUrls": [ "https://www.linkedin.com/jobs/search/?keywords=Salesforce%20Revenue%20Cloud%20Developer&location=Texas&f_WT=2&f_JT=F&f_TPR=r2592000" ], "maxJobs": 25, "scrapeJobDetails": true, "includeJobSummary": true, "apolloApiKey": "YOUR_APOLLO_API_KEY", "enrichContacts": true, "contactTitles": ["VP of Sales", "CTO", "Director of Engineering", "Head of Salesforce"], "contactsPerCompany": 3, "enrichContactEmails": true, "enrichContactPhones": false, "requestDelayMin": 3000, "requestDelayMax": 8000 } ```` ### 📝 Notes - **Job poster fields** (`jobPosterName`, `jobPosterTitle`, `jobPosterLinkedinUrl`) are fetched from the full public job page. They may be empty if LinkedIn requires login to view the recruiter card for that posting. - **Apollo People Search is FREE** — finding contacts does not consume Apollo credits. Only email enrichment (`enrichContactEmails`) and phone enrichment (`enrichContactPhones`) cost credits (1 credit per contact). - **maxJobs** is now fully respected — the actor paginates through LinkedIn search results (10 per page) until it reaches your target or LinkedIn runs out of results. - **Rate limiting** — keep `requestDelayMin` at 3000ms or higher to avoid being blocked by LinkedIn. - Contacts are output to a **separate dataset** named `linkedin-contacts` for easy access. # Actor input Schema ## `searchUrls` (type: `array`): One or more LinkedIn job search URLs. Go to linkedin.com/jobs, apply your filters, then copy the full URL from the address bar. ## `directJobUrls` (type: `array`): Direct LinkedIn job page URLs to scrape specific job postings. ## `maxJobs` (type: `integer`): Maximum number of jobs to scrape. Keep low (10-50) for daily runs. LinkedIn caps search results at 1,000 per search URL. ## `scrapeJobDetails` (type: `boolean`): Fetch full job description and all metadata. If disabled, only basic info from search results is returned. ## `includeJobSummary` (type: `boolean`): Adds a pre-formatted jobSummary field to each result — easy to paste into any AI tool for instant analysis. ## `apolloApiKey` (type: `string`): Your Apollo.io API key. Required for company intelligence (revenue, tech stack, size) and contact lookup. CREDIT USAGE: 1 credit per company enriched. People Search is FREE. Get your key from apollo.io > Settings > API Keys. ## `enrichContacts` (type: `boolean`): Enable Apollo People Search to find decision makers at each company. FREE - no Apollo credits required. Requires apolloApiKey and contactTitles to be set. ## `contactTitles` (type: `array`): Job titles of decision makers to find at each company via Apollo. Examples: 'VP of Sales', 'CTO', 'Head of Revenue Operations'. Leave empty to return top contacts regardless of title. Apollo People Search is FREE — no credits consumed. ## `contactsPerCompany` (type: `integer`): Maximum number of contacts to find per company. Each contact found via People Search costs 0 credits. Default: 3. ## `enrichContactEmails` (type: `boolean`): WARNING: Costs 1 Apollo credit per contact email. Only enable if you need verified work emails. The run log will show you the estimated credit cost BEFORE enriching. Default: false (contact names and LinkedIn URLs are always free). ## `enrichContactPhones` (type: `boolean`): WARNING: Costs 1 Apollo credit per contact phone number. Only enable if you need phone numbers for outreach. Default: false. ## `requestDelayMin` (type: `integer`): Minimum milliseconds to wait between each LinkedIn request. Helps avoid rate limiting. Default: 3000ms (3 seconds). ## `requestDelayMax` (type: `integer`): Maximum milliseconds to wait between each request. A random delay between min and max is used. Default: 8000ms (8 seconds). ## `notifyEmail` (type: `string`): Receive an email when the run completes, including jobs scraped and Apollo credits used. ## `proxy` (type: `object`): Proxy settings. Apify Residential Proxy strongly recommended to avoid LinkedIn blocking. ## Actor input object example ```json { "maxJobs": 25, "scrapeJobDetails": true, "includeJobSummary": true, "enrichContacts": false, "contactsPerCompany": 3, "enrichContactEmails": false, "enrichContactPhones": false, "requestDelayMin": 3000, "requestDelayMax": 8000, "proxy": { "useApifyProxy": true } } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("goc_706/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 = {} # Run the Actor and wait for it to finish run = client.actor("goc_706/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 '{}' | apify call goc_706/my-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=goc_706/my-actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Jobs Scraper + Apollo Enrichment", "description": "Scrape LinkedIn job listings and automatically enrich company data + find decision makers via Apollo.io. No login required. Outputs job details, company profiles, and contacts in Google Sheets-ready format.", "version": "0.0", "x-build-id": "QQt0zH9dvAiqbK3t6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/goc_706~my-actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-goc_706-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/goc_706~my-actor/runs": { "post": { "operationId": "runs-sync-goc_706-my-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/goc_706~my-actor/run-sync": { "post": { "operationId": "run-sync-goc_706-my-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "searchUrls": { "title": "LinkedIn Job Search URLs", "type": "array", "description": "One or more LinkedIn job search URLs. Go to linkedin.com/jobs, apply your filters, then copy the full URL from the address bar.", "items": { "type": "string" } }, "directJobUrls": { "title": "Direct LinkedIn Job URLs", "type": "array", "description": "Direct LinkedIn job page URLs to scrape specific job postings.", "items": { "type": "string" } }, "maxJobs": { "title": "Maximum Number of Jobs", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of jobs to scrape. Keep low (10-50) for daily runs. LinkedIn caps search results at 1,000 per search URL.", "default": 25 }, "scrapeJobDetails": { "title": "Scrape Full Job Details", "type": "boolean", "description": "Fetch full job description and all metadata. If disabled, only basic info from search results is returned.", "default": true }, "includeJobSummary": { "title": "Include Job Summary Field", "type": "boolean", "description": "Adds a pre-formatted jobSummary field to each result — easy to paste into any AI tool for instant analysis.", "default": true }, "apolloApiKey": { "title": "Apollo API Key (Optional — for Company & Contact Enrichment)", "type": "string", "description": "Your Apollo.io API key. Required for company intelligence (revenue, tech stack, size) and contact lookup. CREDIT USAGE: 1 credit per company enriched. People Search is FREE. Get your key from apollo.io > Settings > API Keys." }, "enrichContacts": { "title": "Enrich Contacts via Apollo People Search (FREE)", "type": "boolean", "description": "Enable Apollo People Search to find decision makers at each company. FREE - no Apollo credits required. Requires apolloApiKey and contactTitles to be set.", "default": false }, "contactTitles": { "title": "Contact Job Titles to Find (Apollo)", "type": "array", "description": "Job titles of decision makers to find at each company via Apollo. Examples: 'VP of Sales', 'CTO', 'Head of Revenue Operations'. Leave empty to return top contacts regardless of title. Apollo People Search is FREE — no credits consumed.", "items": { "type": "string" } }, "contactsPerCompany": { "title": "Max Contacts Per Company", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum number of contacts to find per company. Each contact found via People Search costs 0 credits. Default: 3.", "default": 3 }, "enrichContactEmails": { "title": "Enrich Contact Emails (Apollo — Costs Credits)", "type": "boolean", "description": "WARNING: Costs 1 Apollo credit per contact email. Only enable if you need verified work emails. The run log will show you the estimated credit cost BEFORE enriching. Default: false (contact names and LinkedIn URLs are always free).", "default": false }, "enrichContactPhones": { "title": "Enrich Contact Phones (Apollo — Costs Credits)", "type": "boolean", "description": "WARNING: Costs 1 Apollo credit per contact phone number. Only enable if you need phone numbers for outreach. Default: false.", "default": false }, "requestDelayMin": { "title": "Minimum Delay Between Requests (ms)", "minimum": 1000, "maximum": 30000, "type": "integer", "description": "Minimum milliseconds to wait between each LinkedIn request. Helps avoid rate limiting. Default: 3000ms (3 seconds).", "default": 3000 }, "requestDelayMax": { "title": "Maximum Delay Between Requests (ms)", "minimum": 2000, "maximum": 60000, "type": "integer", "description": "Maximum milliseconds to wait between each request. A random delay between min and max is used. Default: 8000ms (8 seconds).", "default": 8000 }, "notifyEmail": { "title": "Notification Email (Optional)", "type": "string", "description": "Receive an email when the run completes, including jobs scraped and Apollo credits used." }, "proxy": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Apify Residential Proxy strongly recommended to avoid LinkedIn blocking.", "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 } } } } } } } } } } ```