Pricing

Pay per usage

Threads (Meta) Posts Scraper

Scrape Threads by Meta posts and profiles. Extract post text, likes, replies, reposts, and author info. No login required.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

oscar lira

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

Categories

Social media

You can access the Threads (Meta) Posts 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

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "profiles": ["zuck"] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("makework36/threads-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Threads Scraper - Posts, Likes & Profiles API in Python

The Apify API client for Python is the official library that allows you to use Threads (Meta) Posts Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Threads (Meta) Posts Scraper API in JavaScript

Threads (Meta) Posts Scraper API through CLI

Threads (Meta) Posts Scraper OpenAPI definition

Threads (Meta) Posts Scraper API

Threads Scraper

automation-lab/threads-scraper

Scrape Meta Threads profiles, posts, and search results. No login needed. Extract post text, likes, replies, reposts, media URLs, and user profile data from any public account.

Stas Persiianenko

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Threads Scraper - Posts, Profiles & Search

botflowtech/threads-meta-scraper

Scrape Meta Threads profiles, posts, and search results without login. Extract text, likes, replies, reposts, media URLs, and engagement data. No API key needed.

BotFlowTech

Threads (Meta) Scraper — Posts, Profiles & Replies

sovereigntaylor/threads-scraper

Scrape Meta Threads profiles and posts. Extract text, likes, replies, reposts, images, follower counts, and engagement data. Supports profile URLs, search terms, and thread detail pages with reply chains. Pay per post scraped.

Ricardo Akiyoshi

Meta threads scraper

curious_coder/threads-scraper

Scrape threads or posts from meta or instagram's new social media website "threads.net"

Curious Coder

1.1K

5.0

Meta Threads Scraper - User Posts & Keyword Search & Views

futurizerush/meta-threads-scraper

Extract Threads posts with engagement metrics (likes, replies, reposts, shares, views) and user profiles. Scrape user posts, search by hashtag, or search by keyword with top or recent filters. No login required.

Rush

577

1.6

Threads Scraper

magicfingers/threads-scraper

Scrape Threads (by Meta) public data: user profiles, posts/threads, replies, and keyword search. Extracts follower counts, engagement metrics, media URLs, and more.

abdulrahman alrashid

Threads Scraper

george.the.developer/threads-scraper

Scrape Threads by Meta posts, profiles, engagement without login or API key. Extract text, likes, replies, reposts, media, hashtags, mentions, followers, verified status. Profile scraping, single post, and search. GraphQL interception for accurate data with DOM fallback.

George Kioko

Threads Post Scraper

sinam7/threads-post-scraper

Scrape Threads posts and comments, post author only.

sinam7

Meta Threads Scraper

kawsar/meta-threads-scraper

Meta Threads scraper that extracts posts, profiles, and replies from threads.net using direct network requests, so you get structured JSON data for social listening, competitor research, and content analysis without browser automation.