# Twitter(X) Profile Bio ICP Classifier - Bio Keywords Extractor (`lead.gen.labs/twitter-x-profile-bio-icp-classifier---bio-keywords-extractor`) Actor Classify Twitter (X) profiles by using bio keyword extraction. This tool scrapes public Twitter bios and intelligently extracts relevant keywords to help you sort users into Ideal Customer Profile (ICP) categories — like Founders, SaaS Marketers, Investors, Coaches, or Crypto Traders. - **URL**: https://apify.com/lead.gen.labs/twitter-x-profile-bio-icp-classifier---bio-keywords-extractor.md - **Developed by:** [LeadGen Labs](https://apify.com/lead.gen.labs) (community) - **Categories:** Automation, Lead generation, Social media - **Stats:** 21 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## 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 ## Twitter(X) Profile Bio ICP Classifier - Bio Keywords Extractor Classify Twitter (X) profiles by analyzing their bios using keyword matching. This tool is built to help you segment, analyze, or filter users based on what they write in their bios — such as roles, interests, industries, or intent. This tool complements: ### [Twitter(X) Community Members Profile Extractor](https://apify.com/lead.gen.labs/twitter-x-community-members-profile-extractor) ### [Twitter(X) Profile Details Scraper](https://apify.com/lead.gen.labs/twitter-x-profile-details-scraper) *** ### Introduction The **Twitter(X) Profile Bio ICP Classifier - Bio Keywords Extractor** is a powerful tool that: - Parses bios from Twitter/X profiles - Matches them against customizable keyword groups (e.g., SaaS, Developers, Investors) - Outputs structured results showing which keywords were matched per profile Perfect for audience segmentation, influencer research, marketing intelligence, and building ideal customer profiles (ICPs). *** ### Use Cases - **Audience Segmentation**: Segment users into categories like SaaS Founders, Developers, Investors, etc. - **Lead Qualification**: Identify potential leads or partners based on bio content. - **Marketing Intelligence**: Understand how people in your niche describe themselves. - **Community Management**: Filter and tag members of a Twitter community based on their roles. *** ### How to Use 1. **Provide a dataset**: The dataset must be a URL that returns Twitter profile data in JSON format, with fields like `name`, `bio`, `followers_count`, `following_count`, and `profile_url`. 2. **Define your keywords**: Supply a dictionary where each label/category maps to a list of keywords. 3. **Run the classifier**: The tool will scan each profile bio, match it against the keyword groups, and assign matched keywords. Profiles with no matches will be labeled as `"Unclassified"`. *** ### Input Sample ```json { "dataset_url": "https://api.apify.com/v2/datasets/fdcBNhlmShbG0dwNh/items?clean=true&format=json", "keywords": { "SaaS": [ "saas", "startup", "founder", "bootstrap" ], "Marketing": [ "seo", "growth", "marketing", "branding" ], "Investors": [ "vc", "angel", "investor", "portfolio" ], "Developers": [ "developer", "engineer", "fullstack", "frontend", "backend" ] } } ``` ### Output Sample ```json { "name": "Spencer Walden", "bio": "I build things: \nhttps://t.co/wv1GBRyvZu\nhttps://t.co/LYXzFm8V8d\nhttps://t.co/tHrNJtV4Yv\nhttps://t.co/6rMGzMmD5w\n\nBuilding software to help founders @AntlerGlobal\n\n#buildinpublic #adhd", "followers_count": 795, "following_count": 378, "profile_url": "https://x.com/Swaldy", "matched_keywords": [ "founder" ] } { "name": "Yash Desai 🚀 Shipr.Dev", "bio": "Founder @ShiprDev | Simplifying SaaS Development", "followers_count": 2201, "following_count": 2139, "profile_url": "https://x.com/yhdesai", "matched_keywords": [ "saas", "founder" ] } ``` ### Feature Requests? Raise an Issue on the actor page for feature request or contact me directly for custom solution(lead.gen.labs.1@gmail.com) # Actor input Schema ## `dataset_url` (type: `string`): Provide the Apify dataset full API URL. ## `keywords` (type: `object`): Each key is a category label and its value is a list of keywords. ## Actor input object example ```json { "dataset_url": "https://api.apify.com/v2/datasets/ayEcd5Fg2sfsWRAux/items?clean=true&format=json", "keywords": { "SaaS": [ "saas", "startup", "founder", "bootstrap" ], "Marketing": [ "seo", "growth", "marketing", "branding" ], "Investors": [ "vc", "angel", "investor", "portfolio" ], "Developers": [ "developer", "engineer", "fullstack", "frontend", "backend" ] } } ``` # 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 = { "keywords": { "SaaS": [ "saas", "startup", "founder", "bootstrap" ], "Marketing": [ "seo", "growth", "marketing", "branding" ], "Investors": [ "vc", "angel", "investor", "portfolio" ], "Developers": [ "developer", "engineer", "fullstack", "frontend", "backend" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("lead.gen.labs/twitter-x-profile-bio-icp-classifier---bio-keywords-extractor").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 = { "keywords": { "SaaS": [ "saas", "startup", "founder", "bootstrap", ], "Marketing": [ "seo", "growth", "marketing", "branding", ], "Investors": [ "vc", "angel", "investor", "portfolio", ], "Developers": [ "developer", "engineer", "fullstack", "frontend", "backend", ], } } # Run the Actor and wait for it to finish run = client.actor("lead.gen.labs/twitter-x-profile-bio-icp-classifier---bio-keywords-extractor").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 '{ "keywords": { "SaaS": [ "saas", "startup", "founder", "bootstrap" ], "Marketing": [ "seo", "growth", "marketing", "branding" ], "Investors": [ "vc", "angel", "investor", "portfolio" ], "Developers": [ "developer", "engineer", "fullstack", "frontend", "backend" ] } }' | apify call lead.gen.labs/twitter-x-profile-bio-icp-classifier---bio-keywords-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,lead.gen.labs/twitter-x-profile-bio-icp-classifier---bio-keywords-extractor" } } } ``` 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/JQrmqQV3sQlhNSpCa/builds/B7i7HcWM3UdI4wPSq/openapi.json