# Lead Finder (`crawlerbros/lead-finder`) Actor Find B2B leads by job title, location, and industry. Extracts name, title, company, LinkedIn URL, and guessed email from public search results. No API keys or credentials needed. - **URL**: https://apify.com/crawlerbros/lead-finder.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Lead generation, Automation, Agents - **Stats:** 171 total users, 34 monthly users, 100.0% runs succeeded, 5 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $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.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 ## Lead Finder Find B2B leads by job title, location, and industry. Returns name, title, company, LinkedIn URL, and email. No API keys or credentials needed. ### Input | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `jobTitles` | string[] | Yes | - | Job titles to search for (e.g. "CEO", "Software Engineer") | | `locations` | string[] | No | [] | Locations to target (e.g. "New York", "London") | | `industries` | string[] | No | [] | Industries to filter by (e.g. "SaaS", "Healthcare") | | `companyNames` | string[] | No | [] | Specific companies to target (e.g. "Google", "Stripe") | | `maxLeads` | integer | No | 100 | Maximum number of leads to return (1-500) | ### Output Each lead includes: | Field | Description | |-------|-------------| | `full_name` | Person's full name | | `first_name` | First name | | `last_name` | Last name | | `title` | Job title | | `company_name` | Company name | | `company_domain` | Company website domain | | `location` | Location (when available) | | `linkedin_url` | LinkedIn profile URL | | `email` | User Email | | `scraped_at` | Timestamp | ### Example **Input:** ```json { "jobTitles": ["VP of Marketing"], "locations": ["Austin"], "maxLeads": 5 } ```` **Output:** ```json { "full_name": "Greg Brauner", "first_name": "Greg", "last_name": "Brauner", "title": "VP of Marketing", "company_name": "Thinkific", "company_domain": "thinkific.com", "location": "Austin", "linkedin_url": "https://www.linkedin.com/in/gregbrauner", "email": "greg.brauner@thinkific.com", "scraped_at": "2026-02-27T10:18:02.866080+00:00" } ``` # Actor input Schema ## `jobTitles` (type: `array`): Job titles to search for (e.g. 'Software Engineer', 'CEO', 'Marketing Manager'). Each title generates a separate search query. ## `locations` (type: `array`): Locations to target (e.g. 'New York', 'California', 'United States'). Leave empty to search globally. ## `industries` (type: `array`): Industries to filter by (e.g. 'SaaS', 'Healthcare', 'Finance'). Appended to search query for filtering. ## `companyNames` (type: `array`): Specific companies to target (e.g. 'Google', 'Microsoft'). Leave empty to search all companies. ## `maxLeads` (type: `integer`): Maximum number of leads to return. Higher values require more search queries and take longer. ## Actor input object example ```json { "jobTitles": [ "CEO" ], "locations": [], "industries": [], "companyNames": [], "maxLeads": 100 } ``` # Actor output Schema ## `results` (type: `string`): Dataset with discovered B2B leads # 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 = { "jobTitles": [ "CEO" ] }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/lead-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 = { "jobTitles": ["CEO"] } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/lead-finder").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 '{ "jobTitles": [ "CEO" ] }' | apify call crawlerbros/lead-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/lead-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Lead Finder", "description": "Find B2B leads by job title, location, and industry. Extracts name, title, company, LinkedIn URL, and guessed email from public search results. No API keys or credentials needed.", "version": "1.0", "x-build-id": "MQYc9NpPY1VQXhTz3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~lead-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-lead-finder", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~lead-finder/runs": { "post": { "operationId": "runs-sync-crawlerbros-lead-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~lead-finder/run-sync": { "post": { "operationId": "run-sync-crawlerbros-lead-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "jobTitles" ], "properties": { "jobTitles": { "title": "Job Titles", "minItems": 1, "type": "array", "description": "Job titles to search for (e.g. 'Software Engineer', 'CEO', 'Marketing Manager'). Each title generates a separate search query.", "items": { "type": "string" } }, "locations": { "title": "Locations", "type": "array", "description": "Locations to target (e.g. 'New York', 'California', 'United States'). Leave empty to search globally.", "items": { "type": "string" }, "default": [] }, "industries": { "title": "Industries", "type": "array", "description": "Industries to filter by (e.g. 'SaaS', 'Healthcare', 'Finance'). Appended to search query for filtering.", "items": { "type": "string" }, "default": [] }, "companyNames": { "title": "Company Names", "type": "array", "description": "Specific companies to target (e.g. 'Google', 'Microsoft'). Leave empty to search all companies.", "items": { "type": "string" }, "default": [] }, "maxLeads": { "title": "Max Leads", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of leads to return. Higher values require more search queries and take longer.", "default": 100 } } }, "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 } } } } } } } } } } ```