Pricing

from $0.40 / 1,000 threads profile or posts

Threads Scraper - Profiles & Posts, No Login

$0.40 per 1,000 rows plus $0.001 per run. Pull public Threads profiles and recent posts with no login: bio, approximate follower count, profile image, post text, likes, timestamps, image URLs, video and reply flags. Keyword filter per account. Samples and blocked look-ups are never charged.

Pricing

from $0.40 / 1,000 threads profile or posts

Rating

0.0

(0)

Developer

Dami's Studio

Actor stats

Bookmarked

Total users

Monthly active users

10 days ago

Last modified

Categories

Social media

Automation

You can access the Threads Scraper - Profiles & Posts, No Login 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 API & Integrations 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("dami_studio/threads-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
15for item in client.dataset(run.default_dataset_id).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 - Profiles & Posts From $0.40 per 1,000 API in Python

The Apify API client for Python is the official library that allows you to use Threads Scraper - Profiles & Posts, No Login API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Threads Scraper - Profiles & Posts, No Login API in JavaScript

Threads Scraper - Profiles & Posts, No Login API through CLI

Threads Scraper - Profiles & Posts, No Login OpenAPI definition

Threads Scraper - Profiles & Posts, No Login API

LinkedIn Post Scraper - $0.90 per 1,000, No Login

dami_studio/linkedin-profile-posts-scraper

Pull public posts from any LinkedIn profile: post text, title, author, image, publish time and the canonical post URL. No login, no cookies, no API key - public pages only. $0.90 per 1,000 posts plus $0.001 per run, and blocked or empty look-ups are never charged.

Dami's Studio

Threads Posts Scraper No Login

technicaldost/meta-threads-scraper

Scrape public Meta Threads profile posts: text, timestamps, like and reply counts, and permalinks. No login required. Pay per post.

Technical Dost Solutions

Threads Profile Scraper — Followers, Bio Links, Recent Posts

scrapersdelight/threads-profile-scraper

Bulk-scrape public Threads (threads.com) profiles by username or URL: follower count, full name, bio, every bio link, verified and private flags, topic tags, plus the 4-10 most recent posts with likes, replies and reposts — and a computed recent engagement rate. $2.00 per 1,000 profiles. No login.

Scrapers Delight

Threads Search & Profile Scraper

santamaria-automations/threads-search-scraper

Search Threads.net by keyword or scrape any public profile's posts. Returns post text, author, like count, reply count, repost count, and timestamp. No login required. Pay-per-result: $0.50/1,000 posts.

NanoScrape

Threads Scraper - Profiles & Posts

swerve/threads-scraper

Scrape Threads (Meta) profiles and recent posts in bulk. Get followers, bio, verified status, and posts with likes, replies, reposts and media by username. No login or API key. Pay per result.

Swerve

Threads Scraper — Posts, Replies & Profiles, No Login

memo23/threads-scraper

Threads Scraper — extract posts, replies and profiles from threads.com with no login or cookies. Paste usernames or post URLs and get flat rows: text, like/reply/repost/quote counts, media, timestamps and author. Bulk-ready. JSON, CSV or Excel.