Threads Replies Scraper - Comments Under Any Post
Pricing
from $1.20 / 1,000 replies
Returns the replies under Meta Threads posts, one row per reply: text, author, time, likes, reply count and media, plus the answers to replies on request. Top or newest order, paste post links. Works logged out: no login, no cookies, no API key. For comment analysis, brand monitoring and research.
You can access the Threads Replies Scraper - Comments Under Any Post 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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "postUrls": ["https://www.threads.com/@mosseri/post/DdrY7cAAPhB"] }9
10# Run the Actor and wait for it to finish11run = client.actor("benthepythondev/threads-replies-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-startThe Apify API client for Python is the official library that allows you to use Threads Replies Scraper - Comments Under Any Post API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: