Threads Replies Scraper

Export public Threads replies from post or profile URLs for social listening, creator research, sentiment analysis, and conversation monitoring. This Threads scraper includes root-post provenance, author details, engagement, media, and conversation-tree fields, with a Threads API for automated workflows.

Who is it for?

Social listening teams, creator-economy analysts, brand and reputation teams, and researchers can use the Actor to monitor public audience reactions and reconstruct reply conversations.

What you can export

• Reply text, URL, ID, timestamp, mentions, hashtags, and external links
• Reply author username, profile URL, avatar, display name, ID, and verification when publicly visible
• Likes, replies, reposts, quotes, and shares when Threads exposes them
• Media URLs, type, dimensions, audio and accessibility metadata when available
• Root-post URL, author, text, engagement, and stable provenance
• Parent reply ID, parent author, and depth for conversation-tree analysis
• Monitoring and quality fields such as changedSinceMatched, scrapedAt, and warning

Input example

{
  "postUrls": [{ "url": "https://www.threads.com/@nasa/post/DbTnB4JGWEX" }],
  "profileUrls": [],
  "maxRepliesPerThread": 20,
  "maxDepth": 3,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["SHADER"] }
}

Output example

{
  "sourceType": "post",
  "sourceUrl": "https://www.threads.com/@nasa/post/DbTnB4JGWEX",
  "rootPostId": "DbTnB4JGWEX",
  "rootPostUrl": "https://www.threads.com/@nasa/post/DbTnB4JGWEX",
  "rootAuthorUsername": "nasa",
  "replyId": "exampleReplyCode",
  "replyUrl": "https://www.threads.com/@example/post/exampleReplyCode",
  "parentReplyId": "DbTnB4JGWEX",
  "depth": 1,
  "authorUsername": "example",
  "authorProfileUrl": "https://www.threads.com/@example",
  "text": "A public reply",
  "mentions": [],
  "hashtags": [],
  "externalUrls": [],
  "likeCount": 3,
  "mediaUrls": [],
  "changedSinceMatched": true,
  "scrapedAt": "2026-08-06T12:00:00.000Z",
  "isPublicSubset": true,
  "warning": "Threads may expose only a public subset; unavailable optional metadata is null."
}

Input settings

Provide at least one post or profile URL.

Input recipes

Monitor two known posts: add both URLs to postUrls, set maxRepliesPerThread to a bounded value, and schedule the Actor.

Collect recent replies: set changedSince to the last successful monitoring timestamp.

Follow a public profile: put a canonical profile URL in profileUrls; rows retain the originating profile in sourceUrl.

Tips and limits

• Start with one public post and a low reply limit.
• Threads decides which replies are visible to logged-out visitors; the public subset can be smaller than the displayed total.
• Private, removed, restricted, or login-only content is not bypassed.
• Engagement and author metadata can be absent from the public surface.
• Use stable post URLs for recurring monitoring; active threads can change between runs.
• The Actor preserves successful rows when another target fails and reports target failures in the run output.

API usage

cURL

curl -X POST "https://api.apify.com/v2/acts/fetch_cat~threads-replies-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"postUrls":[{"url":"https://www.threads.com/@nasa/post/DbTnB4JGWEX"}],"maxRepliesPerThread":20}'

JavaScript

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/threads-replies-scraper').call({
  postUrls: [{ url: 'https://www.threads.com/@nasa/post/DbTnB4JGWEX' }],
  maxRepliesPerThread: 20,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('fetch_cat/threads-replies-scraper').call(run_input={
    'postUrls': [{'url': 'https://www.threads.com/@nasa/post/DbTnB4JGWEX'}],
    'maxRepliesPerThread': 20,
})
items = client.dataset(run['defaultDatasetId']).list_items().items

Use the Apify API client, webhooks, schedules, dataset exports, or integrations to automate downstream analysis.

MCP and AI agents

Connect through the Apify MCP server and enable fetch_cat/threads-replies-scraper.

claude mcp add apify https://mcp.apify.com

Example MCP client configuration:

{
  "mcpServers": {
    "apify": { "url": "https://mcp.apify.com" }
  }
}

Example prompts:

• “Run fetch_cat/threads-replies-scraper for this Threads post and summarize recurring audience reactions.”
• “Collect up to 50 public replies, then group them by reply depth and author.”

Support

Open an issue from the Actor's Issues tab with the public target URL, expected behavior, and run ID. Do not include account credentials or private data.