# 🚀 Leads Finder similar to Apollo Zoominfo Linkedin (`peakydev/leads-finder-apollo-linkedin`) Actor 🚀 Extract verified leads from a single search URL of your b2b platform with emails, phone numbers, and company details similar to Apollo, LinkedIn, Zoominfo - **URL**: https://apify.com/peakydev/leads-finder-apollo-linkedin.md - **Developed by:** [Peaky Dev](https://apify.com/peakydev) (community) - **Categories:** Lead generation - **Stats:** 7 total users, 6 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $1.80 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## 🚀 Leads Finder from your favourite B2B platform Extract up to **20,000 verified leads** from a single search URL — emails, phone numbers, and company details. > 💡 **Pro Tip:** For best performance, split large searches into batches of 20K using **multiple location filters** instead of one broad query. --- ### ⏱️ Speed & Performance - Scraping speed is approximately **40 minutes per 1,000 leads** - Speed is **not affected** by your device or internet connection — processing happens entirely on Apify's infrastructure - Once your run is live and returning results, you can safely close your browser --- ### 📊 Data Coverage | Data Point | Coverage | | --- | --- | | 💼 Work Emails | Up to 60%+ | | 📧 Personal Emails | ~30% | | 📞 Phone Numbers | ~30% | --- ### 🧠 How It Works Paste any search URL from your B2B platform and the scraper handles everything else, no manual scrolling, no copy-pasting. - **Autopilot scraping** — automatically pages through every result, capturing contacts, company info, and emails - **Smart resume** — tracks your progress per URL and picks up exactly where it left off if a run is stopped or restarted - **Deduplication built-in** — duplicate leads are automatically detected and skipped - **One run at a time** — only one active run is allowed per account to ensure stability - **Progress memory** — tracking is stored for **30 days**, after which it resets automatically --- ### 🍪 Cookie Setup (Required) This scraper requires a valid session cookie from your B2B platform to function. **How to get your cookie:** 1. Install the [🧩 EditThisCookie](https://www.editthiscookie.com) browser extension 2. Log into your B2B platform (LinkedIn, ZoomInfo, etc.) 3. Open EditThisCookie and copy your session cookie 4. Paste it into the `cookie` input field before starting a run > ⚠️ If your cookie expires or becomes invalid, the scraper will throw errors. Refresh your cookies and restart the run. --- ### ▶️ Getting Started 1. Copy your **search URL** directly from your B2B platform's search results page 2. Paste it into the `searchUrl` field (clear any existing value first) 3. Set your **maximum lead count** 4. Add your **cookie** from the EditThisCookie extension 5. Hit **Start** and let it run --- ### ⚙️ Configuration #### Input Parameters | Parameter | Type | Required | Default | Description | | --- | --- | --- | --- | --- | | `searchUrl` | `string` | ✅ Yes | — | Search results URL from your B2B platform | | `maxResults` | `integer` | ✅ Yes | `20000` | Maximum number of leads to extract | | `cookie` | `array` | ✅ Yes | — | Session cookie from your B2B platform | #### Sample Input ```json { "searchUrl": "https://www.linkedin.com/search/results/people/?keywords=...", "maxResults": 20000, "cookie": "your_session_cookie_here" } ```` *** ### 💰 Pricing & Limits | Plan | Lead Limit | | --- | --- | | Free Apify User | 100 leads per run | | Paid Apify User | Up to 20K per run | > ⚠️ **Minimum charge** applies to every run — even if fewer than **100 leads** are found, you will be charged for 100. Make sure your URL returns at least 100 results before running. *** ### 🛠️ Troubleshooting | Issue | What to Do | | --- | --- | | Scraper stopped early | Check the **Logs** tab for a detailed error report | | Cookie error | Refresh your cookie via EditThisCookie and restart | | No leads returned | Verify your search URL loads results in the browser | | Too many duplicates | Broaden your search by removing some filters | *** ### 📌 Usage Policy - Use this tool responsibly and in compliance with the Terms of Service of each platform you scrape - Do not use scraped data for spam or any activity that violates applicable laws *** ### 🤝 Support Run into an issue? Open a ticket in the **Issues** tab or reach out to support directly via peakydev00@gmail.com we're happy to help. # Actor input Schema ## `searchUrl` (type: `string`): Search url of the b2b platform you are scraping ## `maxResults` (type: `integer`): Total results to fetch up to 20K leads per run ## `cookies` (type: `array`): Paste your b2b platform cookies (Get it using EditThisCookie Chrome/Firefox extension only) ## Actor input object example ```json { "maxResults": 10000, "cookies": [ "Paste your platform Cookie (clear input before pasting)" ] } ``` # Actor output Schema ## `leads` (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 = { "maxResults": 10000, "cookies": [ "Paste your platform Cookie (clear input before pasting)" ] }; // Run the Actor and wait for it to finish const run = await client.actor("peakydev/leads-finder-apollo-linkedin").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 = { "maxResults": 10000, "cookies": ["Paste your platform Cookie (clear input before pasting)"], } # Run the Actor and wait for it to finish run = client.actor("peakydev/leads-finder-apollo-linkedin").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 '{ "maxResults": 10000, "cookies": [ "Paste your platform Cookie (clear input before pasting)" ] }' | apify call peakydev/leads-finder-apollo-linkedin --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=peakydev/leads-finder-apollo-linkedin", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🚀 Leads Finder similar to Apollo Zoominfo Linkedin", "description": "🚀 Extract verified leads from a single search URL of your b2b platform with emails, phone numbers, and company details similar to Apollo, LinkedIn, Zoominfo", "version": "0.0", "x-build-id": "YYY8K4ROcegO280zf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/peakydev~leads-finder-apollo-linkedin/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-peakydev-leads-finder-apollo-linkedin", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/peakydev~leads-finder-apollo-linkedin/runs": { "post": { "operationId": "runs-sync-peakydev-leads-finder-apollo-linkedin", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/peakydev~leads-finder-apollo-linkedin/run-sync": { "post": { "operationId": "run-sync-peakydev-leads-finder-apollo-linkedin", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchUrl": { "title": "Search URL of the B2B platform", "type": "string", "description": "Search url of the b2b platform you are scraping" }, "maxResults": { "title": "Total Results", "minimum": 100, "maximum": 20000, "type": "integer", "description": "Total results to fetch up to 20K leads per run", "default": 10000 }, "cookies": { "title": "Cookies (Required)", "type": "array", "description": "Paste your b2b platform cookies (Get it using EditThisCookie Chrome/Firefox extension only)" } } }, "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 } } } } } } } } } } ```