# Linkedin Leads Finder ($0.008 per Lead) - NO COOKIES (`blitzapi/linkedin-leads-scraper`) Actor Powerful LinkedIn Leads Finder & Scraper API. Find and rank real decision-makers from any company (C-Level, VP, Director). Generate verified B2B leads in real time — perfect for prospecting, ABM, and sales automation. - **URL**: https://apify.com/blitzapi/linkedin-leads-scraper.md - **Developed by:** [BlitzAPI](https://apify.com/blitzapi) (community) - **Categories:** Automation, Lead generation, Agents - **Stats:** 326 total users, 13 monthly users, 100.0% runs succeeded, 24 bookmarks - **User rating**: 3.56 out of 5 stars ## Pricing Pay per event 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 ## 🥇 Waterfall ICP Search: Linkedin Smart Targeting [Apollo & Sales Navigator Alternatives] Find, rank, and prioritize the **right people** in any company—automatically. Our smart targeting algorithm scans **LinkedIn**, identifies decision-makers by relevance, and ranks them based on their role, seniority, and match quality. **The result:** fewer irrelevant contacts, higher discovery rate, and better-performing prospect lists. Ideal for **Growth, RevOps, SalesOps, and ABM** teams looking for precision before volume. A true Apollo alternative—**API-first, scalable, and affordable** at a scraping cost. --- ### 🧠 How the algorithm works Unlike traditional databases (Apollo, ZoomInfo, Lusha), Waterfall ICP Search doesn't return bulk, outdated data. It uses a multi-layered discovery system called the **Waterfall Algorithm**: 1. You define your **ICPs** (e.g., CEO → VP Sales → Director Marketing). 2. The API runs a ranked **cascade search**, starting with the highest ICP (1) and expanding to lower ones (2, 3...). 3. Each person is **ranked and scored** by: * Job title similarity * LinkedIn headline relevance * Company and location match * Confidence scoring 4. The API outputs **ranked contacts by priority**—clean, fresh, and highly relevant. This intelligent ranking ensures your prospect lists are smaller, cleaner, and **2–3× more likely to convert**. Perfect for ABM, lead routing, CRM enrichment, and cold outreach. --- ### 🌟 Why use this Actor? * 🎯 **Smart ICP targeting** → Automatically find the right decision-makers first (C-Level → VP → Director). * 🧩 **Ranked output** → Each contact is scored by relevance and returned in ranked order. * ⚡ **Higher discovery rate** → Identify more valid, relevant contacts per company. * 💸 **Credit-efficient** → Stop wasting money on irrelevant or duplicate profiles. * 🌍 **Real-time LinkedIn data** → Always fresh and verified at the source. * 🔌 **Easy integration** → Plug & play in Clay, Make, N8N, HubSpot, Salesforce, Smartlead, etc. --- ### 🚀 Use cases * **Account-based prospecting (ABM)** → Target C-levels and expand only when needed. * **Inbound lead routing** → Find the most relevant decision-maker in seconds. * **Outbound automation** → Build ranked contact lists for outreach sequences. * **CRM enrichment** → Auto-complete missing ICPs by priority and rank. --- ### 🔑 Input Voici un exemple de la structure JSON requise pour l'entrée : ```json { "company_linkedin_url": "https://www.linkedin.com/company/wttj-fr", "cascade": [ { "include_title": ["Founder", "CEO", "President"], "location": ["US", "CA"], "include_headline_search": false }, { "include_title": ["VP Sales", "Sales Director"], "location": ["WORLD"], "include_headline_search": true }, { "include_title": ["Marketing Director", "CMO"], "exclude_title": ["Assistant", "Intern"], "include_headline_search": true } ], "max_results": 10 } ```` | Parameter | Type | Required | Description | |------------------------|----------|----------|-----------------------------------------------------------| | company\_linkedin\_url | string | Yes | Target company LinkedIn profile. | | cascade | array | Yes | Define ICP hierarchy and ranking levels. | | include\_title | array | No | List of titles to search for at this ICP level. | | exclude\_title | array | No | Optional titles to ignore. | | location | array | No | Target countries ("WORLD" = no restriction). | | include\_headline\_search| boolean | No | Also search in LinkedIn headlines. | | max\_results | integer | No | Limit the number of results. | *** ### 📤 Output Voici un exemple de la sortie JSON : ```json { "company_linkedin_url": "https://www.linkedin.com/company/wttj-fr", "max_results": 2, "results_length": 2, "results": [ { "full_name": "Lionel Pereira", "job_title": "Director Sales Enterprise & Agency", "linkedin_headline": "Director Sales Enterprise & Agency @ Welcome to the Jungle", "company_domain": "welcometothejungle.com", "person_linkedin_url": "https://www.linkedin.com/in/lionelpereira", "country": "France", "icp": 2, "ranking": 1, "what_matched": [ { "key": "job_title", "value": "Director Sales Enterprise & Agency" }, { "key": "linkedin_headline", "value": "Director Sales Enterprise & Agency @ Welcome to the Jungle" } ] }, { "full_name": "Sandrine Fostinelli", "job_title": "Product Marketing Director", "linkedin_headline": "Head of Product Marketing", "company_domain": "welcometothejungle.com", "person_linkedin_url": "https://www.linkedin.com/in/sandrine-fostinelli", "country": "France", "icp": 3, "ranking": 2, "what_matched": [{ "key": "job_title", "value": "Product Marketing Director" }] } ] } ``` | Output fields | Description | |---------------------|------------------------------------------------------| | results | List of ranked ICP profiles. | | icp | ICP level (1 = top priority). | | ranking | Order of relevance within level. | | what\_matched | Fields and values that matched your filters. | | results\_length | Number of results found. | | company\_linkedin\_url| Target company confirmation. | ✅ You only pay when valid, ranked contacts are found. *** ### 💰 Pricing - **$8 per 1,000 valid contacts** - Credit-based pricing—transparent and predictable - No cost for empty or invalid results *** ### ⚡ Quick Start 1. Add this Actor to your Apify console 2. Paste a company LinkedIn URL 3. Define your ICP cascade (C-Level → VP → Director) 4. Run the Actor and get ranked, validated contacts instantly 🚀 *** ### 📈 Keywords `waterfall icp search`, `icp targeting api`, `linkedin decision maker finder`, `ranked contact search`, `abm lead generation api`, `smart prospecting api`, `b2b lead routing automation`, `cold outreach optimization`, `apollo alternative`, `zoominfo alternative`, `cognism alternative`, `lusha alternative`, `linkedin icp finder`, `sales intelligence api`, `outbound automation api` *** ### 🔥 Summary BlitzAPI's Waterfall ICP Search is the fastest way to find and prioritize decision-makers in any company.\ By ranking each contact according to your defined ICP hierarchy, it eliminates guesswork and maximizes ROI.\ Get precision prospecting at a scraping cost—a smarter, faster, and cheaper alternative to Apollo, ZoomInfo, and Lusha. # Actor input Schema ## `company_linkedin_url` (type: `string`): The URL of the LinkedIn company you want to get the email domain from. ## `cascade` (type: `array`): The cascade of titles to search for. Enter as an array of objects with included\_title, excluded\_title, and location fields. ## `max_results` (type: `integer`): The maximum number of results to return. ## Actor input object example ```json { "company_linkedin_url": "https://www.linkedin.com/company/wttj-fr", "cascade": [ { "include_title": [ "Founder", "Co-Founder", "Chief Executive Officer", "CEO", "Owner", "President" ], "location": [ "US", "CA" ], "include_headline_search": false }, { "include_title": [ "Chief Sales Officer", "CSO", "VP Sales", "Vice President Sales", "Head of Sales", "Sales Director" ], "location": [ "WORLD" ], "include_headline_search": true }, { "include_title": [ "Chief Marketing Officer", "CMO", "Marketing Director", "Director of Marketing" ], "exclude_title": [ "Assistant", "Executive Assistant", "Intern" ], "include_headline_search": true } ], "max_results": 10 } ``` # 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 = { "company_linkedin_url": "https://www.linkedin.com/company/wttj-fr", "cascade": [ { "include_title": [ "Founder", "Co-Founder", "Chief Executive Officer", "CEO", "Owner", "President" ], "location": [ "US", "CA" ], "include_headline_search": false }, { "include_title": [ "Chief Sales Officer", "CSO", "VP Sales", "Vice President Sales", "Head of Sales", "Sales Director" ], "location": [ "WORLD" ], "include_headline_search": true }, { "include_title": [ "Chief Marketing Officer", "CMO", "Marketing Director", "Director of Marketing" ], "exclude_title": [ "Assistant", "Executive Assistant", "Intern" ], "include_headline_search": true } ], "max_results": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("blitzapi/linkedin-leads-scraper").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 = { "company_linkedin_url": "https://www.linkedin.com/company/wttj-fr", "cascade": [ { "include_title": [ "Founder", "Co-Founder", "Chief Executive Officer", "CEO", "Owner", "President", ], "location": [ "US", "CA", ], "include_headline_search": False, }, { "include_title": [ "Chief Sales Officer", "CSO", "VP Sales", "Vice President Sales", "Head of Sales", "Sales Director", ], "location": ["WORLD"], "include_headline_search": True, }, { "include_title": [ "Chief Marketing Officer", "CMO", "Marketing Director", "Director of Marketing", ], "exclude_title": [ "Assistant", "Executive Assistant", "Intern", ], "include_headline_search": True, }, ], "max_results": 10, } # Run the Actor and wait for it to finish run = client.actor("blitzapi/linkedin-leads-scraper").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 '{ "company_linkedin_url": "https://www.linkedin.com/company/wttj-fr", "cascade": [ { "include_title": [ "Founder", "Co-Founder", "Chief Executive Officer", "CEO", "Owner", "President" ], "location": [ "US", "CA" ], "include_headline_search": false }, { "include_title": [ "Chief Sales Officer", "CSO", "VP Sales", "Vice President Sales", "Head of Sales", "Sales Director" ], "location": [ "WORLD" ], "include_headline_search": true }, { "include_title": [ "Chief Marketing Officer", "CMO", "Marketing Director", "Director of Marketing" ], "exclude_title": [ "Assistant", "Executive Assistant", "Intern" ], "include_headline_search": true } ], "max_results": 10 }' | apify call blitzapi/linkedin-leads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=blitzapi/linkedin-leads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Linkedin Leads Finder ($0.008 per Lead) - NO COOKIES", "description": "Powerful LinkedIn Leads Finder & Scraper API.\nFind and rank real decision-makers from any company (C-Level, VP, Director).\nGenerate verified B2B leads in real time — perfect for prospecting, ABM, and sales automation.", "version": "0.0", "x-build-id": "udaxJQ8H8cFrFohdg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blitzapi~linkedin-leads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blitzapi-linkedin-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/blitzapi~linkedin-leads-scraper/runs": { "post": { "operationId": "runs-sync-blitzapi-linkedin-leads-scraper", "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/blitzapi~linkedin-leads-scraper/run-sync": { "post": { "operationId": "run-sync-blitzapi-linkedin-leads-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "company_linkedin_url", "cascade", "max_results" ], "properties": { "company_linkedin_url": { "title": "URL of the LinkedIn company", "pattern": "^https?:\\/\\/(www\\.)?linkedin\\.com\\/company\\/[A-Za-z0-9\\-_.%]+\\/?$", "type": "string", "description": "The URL of the LinkedIn company you want to get the email domain from." }, "cascade": { "title": "Cascade", "type": "array", "description": "The cascade of titles to search for. Enter as an array of objects with included_title, excluded_title, and location fields." }, "max_results": { "title": "Max results", "minimum": 1, "maximum": 50, "type": "integer", "description": "The maximum number of results to return." } } }, "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 } } } } } } } } } } ```