Threads Replies Scraper
Pricing
from $4.00 / 1,000 public reply scrapeds
Extract public Threads replies from post URLs: reply text, author, likes, nested reply counts, and parent post context. Provider-backed, cookieless, MCP-ready.
Pricing
from $4.00 / 1,000 public reply scrapeds
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0.0
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Developer
Khadin Akbar
Maintained by CommunityActor stats
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Monthly active users
5 days ago
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You can access the Threads Replies 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 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 = {9 "postUrls": ["https://www.threads.com/@zuck/post/DdCYWl7GktV"],10 "startUrls": [{ "url": "https://www.threads.com/@zuck/post/DdCYWl7GktV" }],11 "maxRepliesPerPost": 10,12 "includeRawData": False,13}14
15# Run the Actor and wait for it to finish16run = client.actor("khadinakbar/threads-replies-scraper").call(run_input=run_input)17
18# Fetch and print Actor results from the run's dataset (if there are any)19print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")20for item in client.dataset(run.default_dataset_id).iterate_items():21 print(item)22
23# 📚 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 API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: