# LinkedIn Lead Scraper with Email Finder (`intelscrape/linkedin-lead-scraper-email-finder`) Actor Extract leads with email candidates. No login needed. - **URL**: https://apify.com/intelscrape/linkedin-lead-scraper-email-finder.md - **Developed by:** [IntelScrape](https://apify.com/intelscrape) (community) - **Categories:** Automation, Lead generation, Business - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 dataset items 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 ## LinkedIn Lead Scraper + Email Finder ![Actor Banner](https://api.apify.com/v2/key-value-stores/PyvJzfQg02FD3RYhd/records/linkedin-lead-scraper-email-finder-banner.png) Find LinkedIn professional profiles via DuckDuckGo and Bing search. Generates email candidates using Hunter.io-style `firstname.lastname@company.com` patterns. Includes **lead quality scoring** and social profile enrichment. ### What you get - Full name, job title, company - LinkedIn profile URL - Generated email candidates (first.last@domain.com pattern) - Phone number hints - Lead quality score (1–10) - Company domain, industry, location - Social links ### Email patterns generated - firstname.lastname@domain.com - f.lastname@domain.com - firstname@domain.com - firstnamelastname@domain.com ### Use cases - **B2B sales prospecting** — build targeted lead lists fast - **Account-based marketing** — find decision makers at target accounts - **Recruiting** — source passive candidates at specific companies - **PR outreach** — find journalists, editors, influencers - **VC deal sourcing** — find founders and executives at target companies ### Sample output ```json { "name": "Sarah Johnson", "title": "VP of Marketing", "company": "Stripe", "linkedinUrl": "https://linkedin.com/in/sarahjohnson", "emailCandidates": [ "sarah.johnson@stripe.com", "s.johnson@stripe.com", "sarahjohnson@stripe.com" ], "qualityScore": 8, "location": "San Francisco, CA" } ``` ### Keywords LinkedIn scraper, lead generation tool, email finder, B2B prospecting, LinkedIn email extractor, Hunter.io alternative, contact finder, sales lead scraper, professional email lookup, LinkedIn data extraction, cold outreach tool, lead enrichment ### Note Respects LinkedIn's terms. Uses public search engine results (DuckDuckGo, Bing) to discover LinkedIn profiles — no login required. *** ### ?? More Actors by This Developer | Actor | What it does | |-------|-------------| | **Job Salary Aggregator** | Know what your prospects earn � helps qualify and pitch better | | **Content Freshness Auditor** | Audit your lead magnet and landing page content before outreach | | **Gov Contract Scraper** | Find government contractors to target � then find their people here | | **Amazon Scraper** | Find Amazon sellers to target as leads for your e-commerce agency | > ?? **Power combo**: Gov Contract Scraper (find companies winning contracts) ? LinkedIn Leads (find their decision makers) ? close deals. # Actor input Schema ## `demoMode` (type: `boolean`): Return 3 sample leads without making live requests. Use to verify the actor works. ## `searchQueries` (type: `array`): Professional role/title searches ## `targetDomains` (type: `array`): e.g. \["google.com", "stripe.com"] — auto-generates email candidates ## `maxLeads` (type: `integer`): Max leads to collect ## `enrichEmails` (type: `boolean`): Use pattern-based email generation for each profile found ## Actor input object example ```json { "demoMode": false, "searchQueries": [ "software engineer San Francisco", "marketing director New York B2B" ], "targetDomains": [], "maxLeads": 100, "enrichEmails": 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("intelscrape/linkedin-lead-scraper-email-finder").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("intelscrape/linkedin-lead-scraper-email-finder").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 '{}' | apify call intelscrape/linkedin-lead-scraper-email-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,intelscrape/linkedin-lead-scraper-email-finder" } } } ``` 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/0bEaqUGYoVIbqF8QX/builds/DqBFDXHrs66nmpx64/openapi.json