Pricing

from $4.99 / 1,000 results

🧵✨ Threads User Followers Scraper

🧵✨ Threads User Followers Scraper extracts followers from public Threads profiles. Gather usernames, profile URLs, bios, follower counts, and other public account data in structured output. Ideal for influencer research, audience analysis, lead generation, and competitor tracking.

Pricing

from $4.99 / 1,000 results

Rating

0.0

(0)

Developer

Scraper Engine

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Social media

Lead generation

Automation

You can access the 🧵✨ Threads User Followers Scraper programmatically from your own applications by using the Apify API. You can also 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "urls": [
12        "zuck"
13    ],
14    "proxyConfiguration": {
15        "useApifyProxy": true
16    }
17};
18
19// Run the Actor and wait for it to finish
20const run = await client.actor("scraper-engine/threads-user-followers-scraper").call(input);
21
22// Fetch and print Actor results from the run's dataset (if any)
23console.log('Results from dataset');
24console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
25const { items } = await client.dataset(run.defaultDatasetId).listItems();
26items.forEach((item) => {
27    console.dir(item);
28});
29
30// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

🧵✨ Threads User Followers Scraper API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use 🧵✨ Threads User Followers Scraper API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

🧵✨ Threads User Followers Scraper API in Python

🧵✨ Threads User Followers Scraper API through CLI

🧵✨ Threads User Followers Scraper OpenAPI definition

🧵✨ Threads User Followers Scraper API

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scraping_solutions/twitter-x-scraper-followers-followings

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igview-owner/threads-user-media-scraper

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scraping_solutions/twitter-x-scraper-followers-followings-no-cookies

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api-empire/Twitter-X-Posts-Scraper

🐦 Twitter-X Posts Scraper extracts tweets/posts at scale — text, hashtags, mentions, timestamps, likes, retweets, replies, threads, media & links. 🔍 Query by keywords, users, dates. 📊 Export CSV/JSON for social listening, sentiment, marketing & research. 🚀 Fast, reliable.

API Empire

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parseforge/x-com-scraper

Extract up to 100 tweets from any X.com (Twitter) user. Fast, reliable GraphQL-based scraper delivers full tweet metadata, engagement metrics, media attachments, and author information. Perfect for monitoring user activity, content analysis, and social media research. No login required.

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Twitter/X Posts Scraper

scraper-engine/twitter-x-posts-scraper

Scrapes posts from Twitter X profiles, hashtags, or searches, capturing tweet text, media, timestamps, metrics, authors, hashtags, and URLs. Ideal for trend research, competitor analysis, sentiment studies, influencer insights, and large-scale Twitter X post extraction.

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Twitter (X) Tweets Scraper

scraper-engine/twitter-x-tweets-scraper-scraper

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Twitter / X Posts Scraper

scrapepilotapi/Twitter-X-Posts-Scraper

Twitter / X Posts Scraper extracts posts from X (Twitter). It collects post text, usernames, profile URLs, likes, reposts, replies, timestamps, and media details. Ideal for trend tracking, social media monitoring, sentiment analysis, and research.

ScrapePilot

Twitter Posts Scraper

scrapio/twitter-posts-scraper

Scrapes posts from Twitter X profiles, hashtags, or search results, capturing tweet text, media, timestamps, authors, metrics, hashtags, and post URLs. Ideal for trend research, competitor monitoring, sentiment analysis, influencer insights, and large-scale tweet extraction