Detailed content and author data from any public Threads post.
Threads post url to scrape
Results to deliver
100 creditsThis agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.
Lagic Proxy
Pricing
Extract the full text, associated images, publication timestamp, and the unique ID of the author from any public Threads post URL. This data is ideal for content analysis, trend tracking, and historical archiving.
### Understand Threads Conversations, One Post at a Time The Threads Post Scraper is designed for anyone needing to dive deep into individual posts on Threads. Instead of manually copying details, you provide a direct link to a public post, and the tool returns structured data containing everything you need to analyze its content and context. This tool captures the complete text content of the post, any images attached, and the exact timestamp of its publication. You'll also receive the unique identifier for the post's author, allowing you to track contributions even when a public author name isn't provided by the platform directly. This is crucial for understanding who is active and influential within specific discussions or topics, even if their public display name isn't part of the extracted data. One important note for users: this tool *does not* extract the public display name of the author. It provides a unique author ID. This means you can track an author's activity across multiple posts and runs of this tool, but you won't get their human-readable name. This makes it particularly useful for privacy-conscious research or for internal tracking where the specific identity isn't the primary focus, but rather the content and source. Whether you're monitoring specific discussions, archiving content for future reference, or building datasets for sentiment analysis, this scraper delivers the core components of a Threads post in a clean, organized format.
Navigate to the Threads post you wish to scrape on threads.net.
Copy the full URL of that specific Threads post from your browser's address bar.
Paste the copied Threads URL into the designated 'Threads URL' input field of the tool.
Initiate the scraping process and wait for the tool to complete its extraction.
Download your structured data, which will include post content, images, author ID, and timestamp.