# Export LinkedIn Competitor Followers (Apollo) (`theboomerang/export-competitor-followers`) Actor Export competitor followers helps you tap into your competitor’s audience, so you can target the right people with smarter outreach. - **URL**: https://apify.com/theboomerang/export-competitor-followers.md - **Developed by:** [Boomerang](https://apify.com/theboomerang) (community) - **Categories:** AI, Automation, Lead generation - **Stats:** 511 total users, 0 monthly users, 100.0% runs succeeded, 33 bookmarks - **User rating**: 1.98 out of 5 stars ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage ## 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 ## 🏆 Export LinkedIn Competitor Followers **Competitor Followers Scraper** is a lightning-fast follower extraction tool that collects targeted followers from any LinkedIn company page — Unlike other tools, there’s **no limit** — just share the company’s LinkedIn URL, and we’ll extract **unlimited followers** for you at a predictable cost! ⚡ ### 🔍 What Can This Scraper Do? - 🚀 Extract **unlimited followers** from any LinkedIn company page - 📥 Export data in structured **Excel or CSV** formats - 🔗 **No credentials or cookies needed** — just the company’s LinkedIn URL ### 📌 What Data Will You Receive? Below is the complete list of columns you’ll receive per follower: | **Column Name** | **Description** | |----------------------------|-----------------------------------------------------------| | **First Name** | Follower’s first name | | **Last Name** | Follower’s last name | | **Email** | Public or scraped email address | | **Summary** | Profile summary or LinkedIn headline | | **Job Title** | Current job title | | **Job Description** | Description of their job role (if available) | | **Job Started On** | Start date of the current position | | **LinkedIn URL** | Direct LinkedIn profile link | | **Location** | Location mentioned on their profile | | **Company LinkedIn ID** | Internal LinkedIn ID of the company | | **Company** | Name of the company where the person is employed | | **Corporate LinkedIn URL** | URL of the company’s LinkedIn page | | **Corporate Website** | Official website of the company | | **LinkedIn Description** | Description of the company from its LinkedIn page | | **LinkedIn Specialities** | Listed specialties or services of the company | | **LinkedIn Employees** | Approximate employee count from LinkedIn | | **LinkedIn Industry** | Industry the company belongs to | | **LinkedIn Founded Year** | Year the company was founded | | **LinkedIn Company Location** | Headquarters or company’s listed location | | **Member LinkedIn ID** | Internal LinkedIn ID of the follower (unique identifier) | ### 📊 Sample Output ```json { "First Name": "Eddy", "Last Name": "G V", "Email": "****@hotmail.com", "Summary": "Licenciado en Administración de empresas con Máster en comercio internacional...", "Job Title": "Controller de Seguros y BackOffice Manager", "Job Description": "Controller Financiero\nFunciones principales:\n- Dirigir el proceso...", "Job Started On": "04/2013", "LinkedIn URL": "https://www.linkedin.com/in/edisongv", "Location": "Madrid, Community of Madrid, Spain", "Company LinkedIn ID": "urn:li:fs_salesCompany:8548", "Company": "Phone House Nederland", "Corporate LinkedIn URL": "https://www.linkedin.com/company/the-phone-house/", "Corporate Website": "https://www.phonehouse.nl", "LinkedIn Description": "Phone House is sinds 1998 in Nederland actief en bedient nu ruim 1,5 miljoen klanten...", "LinkedIn Specialities": "retail, telecom", "LinkedIn Employees": "501-1000", "LinkedIn Industry": "Telecommunications", "LinkedIn Founded Year": 2017, "LinkedIn Company Location": "Barneveld, Gelderland, Netherlands", "Member LinkedIn ID": "urn:li:member:54787197" } ``` ### 💰 Pricing Export LinkedIn Competitor Followers runs on a **pay-per-result** model: - **$6.50 per 1,000 followers** → just **$0.0065 per follower** Want to place the order from the website itself? Go to **[theboomerang.co](https://theboomerang.co)** designed for scraping millions of results. ### 📦 Estimated Delivery Time - Up to 10,000 profiles — Delivered within 3 hours - 10,000 to 50,000 profiles — Delivered within 6 hours - 50,000+ profiles — Delivered within 12 to 24 hours ### 🗂️ How to Use Export LinkedIn Competitor Followers 1. 📧 Create a free account on [Apify](https://apify.com) 2. ✅ Open the Export LinkedIn Competitor Followers 3. 🔗 Share the **LinkedIn company page URL** of your competitor 4. 🟢 We’ll extract unlimited followers — no manual limits 5. 📥 Receive an Excel/CSV file with complete follower data 6. ✅ Review the data and use it for your outreach or analysis # Actor input Schema ## `linkedinUrl` (type: `string`): Please share the complete Linkedin company URL. ## `file_name` (type: `string`): The name of the file that should be received as output ## `records` (type: `string`): Select how many leads you want. ## Actor input object example ```json { "file_name": "", "records": "1000" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("theboomerang/export-competitor-followers").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("theboomerang/export-competitor-followers").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 theboomerang/export-competitor-followers --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,theboomerang/export-competitor-followers" } } } ``` 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/hJdQKulRFDW6GbPqQ/builds/KvKQP6kXfVLBrYkHa/openapi.json