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Meta Threads Profile Scraper
Pay $5.00 for 1,000 profiles

Meta Threads Profile Scraper
Pay $5.00 for 1,000 profiles
Scrape Threads profile info. Add one or more Threads usernames and extract number of followers, bio, profile details, URLs, picture URL, full name, username and more. Download structured data in JSON, CSV, XML, Excel, and HTML to use in applications and reports.
You can access the Meta Threads Profile Scraper programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1# Start Server-Sent Events (SSE) session
2curl https://actors-mcp-server.apify.actor/sse?token=<APIFY_TOKEN>
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa
Using Meta Threads Profile Scraper via Model Context Protocol (MCP) server
MCP server lets you use Meta Threads Profile Scraper within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId
and use it to communicate with the MCP server. The message starts the Meta Threads Profile Scraper Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": { # Actor inputs
7 "usernames": ...,
8 ...
9 },
10 "name": "kJdK90pa2hhYYrCK5"
11 }
12}'
The response should be: Accepted
. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [{
5 "type": "text"
6 "text": "ACTOR_RESPONSE"
7 }]
8 }
9}
Configure local MCP Server via standard input/output for Meta Threads Profile Scraper
You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:
1{
2"mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y", "@apify/actors-mcp-server",
7 "--actors", "kJdK90pa2hhYYrCK5"
8 ],
9 "env": {
10 "APIFY_TOKEN": "YOUR_API_TOKEN"
11 }
12 }
13}
14}
You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.
To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.
Actor Metrics
47 Monthly users
4.6 / 5 (5)
14 bookmarks
>99% runs succeeded
7.6 days response time
Created in Jul 2023
Modified 25 days ago