Threads Post Scraper

Export public Threads posts and visible replies from post URLs into structured, analysis-ready data. This Threads posts scraper captures text, authors, engagement, media, timestamps, and conversation links for social listening, campaign reporting, PR evidence, and OSINT workflows—without a login. Use it whenever you need to scrape a Threads post into a repeatable dataset.

What you can export

• Root posts and visible public replies as separate rows
• Post IDs, canonical URLs, text, timestamps, and author details
• Likes, replies, reposts, quotes, shares, and public view counts when available
• Image, video, and carousel URLs plus accessibility captions
• Hashtags, mentions, external links, and link-preview titles
• Reply-to, parent-post, and root-post IDs for conversation analysis
• Collection status and warnings for auditable partial results

Example input

{
  "postUrls": [
    { "url": "https://www.threads.com/@openai/post/DW7RXR7EnRC" }
  ],
  "maxItems": 10,
  "includeReplies": true,
  "maxRepliesPerPost": 20,
  "includeAuthorProfile": false,
  "failOnBlocked": false
}

Example output

{
  "itemType": "post",
  "postUrl": "https://www.threads.com/@openai/post/DW7RXR7EnRC",
  "postId": "example-public-post-id",
  "shortcode": "DW7RXR7EnRC",
  "text": "Public post text",
  "timestamp": "2026-08-20T12:00:00.000Z",
  "username": "openai",
  "userId": "example-public-user-id",
  "displayName": "OpenAI",
  "profileUrl": "https://www.threads.com/@openai",
  "avatarUrl": "https://example.cdn/image.jpg",
  "isVerified": true,
  "bio": null,
  "followerCount": null,
  "likeCount": 1200,
  "replyCount": 84,
  "repostCount": 95,
  "quoteCount": 12,
  "shareCount": null,
  "viewCount": 31735,
  "viewCountStatus": "available",
  "mediaType": "image",
  "mediaUrls": ["https://example.cdn/media.jpg"],
  "mediaWidth": 1080,
  "mediaHeight": 1350,
  "accessibilityCaption": null,
  "hashtags": [],
  "mentions": [],
  "mentionedUsers": [],
  "externalUrls": [],
  "linkPreviewTitle": null,
  "language": null,
  "isReply": false,
  "isRepost": false,
  "isQuotePost": false,
  "replyToUsername": null,
  "replyToPostId": null,
  "replyControl": null,
  "parentPostId": null,
  "rootPostId": "example-public-post-id",
  "sourceUrl": "https://www.threads.com/@openai/post/DW7RXR7EnRC",
  "scrapedAt": "2026-08-25T12:00:00.000Z",
  "collectionStatus": "complete",
  "warning": null
}

Input settings

Who is it for?

Social listening teams, brand marketers, PR teams, and OSINT researchers who need structured evidence from specific public Threads post URLs.

Common use cases

• Social listening: archive specific public posts and their visible conversation context.
• Campaign reporting: export engagement and media evidence for campaign posts.
• PR monitoring: preserve source URLs, timestamps, author details, and public metrics.
• OSINT research: build auditable post-level datasets with parent/root relationships.
• Content analysis: analyze hashtags, mentions, links, media types, and public reactions.

Tips and limits

• Use canonical public Threads post URLs for the most reliable target matching.
• Start with a low maxItems value, inspect the dataset, then scale the batch.
• Threads may expose only a bounded set of visible replies; the Actor does not claim to return hidden or private replies.
• Deleted, private, unavailable, or rate-limited posts can produce warnings or no row.
• Some public fields, including views, shares, biography, follower count, and language, may not be available for every post.
• collectionStatus and warning distinguish complete rows from partial source responses.
• The Actor does not accept login cookies and does not access private accounts, direct messages, or private profile data.

API usage

Run the scraper programmatically as a Threads post API using the Apify REST endpoint below.

curl -X POST \
  "https://api.apify.com/v2/acts/fetch_cat~threads-post-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"postUrls":[{"url":"https://www.threads.com/@openai/post/DW7RXR7EnRC"}],"maxItems":10,"includeReplies":true}'

Use the returned run ID to monitor completion and download the default dataset as JSON, CSV, Excel, or another supported format.

JavaScript

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/threads-post-scraper').call({
  postUrls: [{ url: 'https://www.threads.com/@openai/post/DW7RXR7EnRC' }],
  maxItems: 10,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python

from apify_client import ApifyClient
client = ApifyClient(token='APIFY_TOKEN')
run = client.actor('fetch_cat/threads-post-scraper').call(run_input={
    'postUrls': [{'url': 'https://www.threads.com/@openai/post/DW7RXR7EnRC'}],
    'maxItems': 10,
})
items = client.dataset(run['defaultDatasetId']).list_items().items

Use with MCP and AI agents

Connect an MCP-compatible client to:

https://mcp.apify.com/?tools=fetch_cat/threads-post-scraper

The Actor can also be called from the Apify JavaScript or Python client, n8n, Make, Zapier, webhooks, and scheduled Apify Tasks.

Support

For questions, feature requests, or a reproducible problem, open an issue from the Actor's Apify Store page. Include a public example URL, the run ID, and the expected behavior; do not include credentials or private data.