A high-performance scraping tool for extracting public replies, comments, and engagement metrics from Meta Threads posts without requiring a login.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install apify-threads-replies
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install apify-threads-replies using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Threads Replies Scraper?
The Threads Replies Scraper is a specialized automation tool within the Openclaw Skills ecosystem designed to retrieve granular conversation data from public Threads posts. It allows developers and data scientists to collect up to 50 replies per post, capturing essential metadata such as likes, view counts, and author details. By integrating this skill, users can bypass the complexities of session management and authentication, making it an ideal choice for high-volume data collection and social listening tasks.
As part of the Openclaw Skills collection, this tool leverages the Apify platform to handle the heavy lifting of browser automation and data parsing. It provides a structured JSON output that distinguishes between the original post and its replies, ensuring that your data pipelines remain clean and actionable.
Threads Replies Scraper Use Cases
- Analyzing audience sentiment and feedback on brand-specific Threads posts.
- Monitoring public discourse around trending topics or executive announcements.
- Gathering social media engagement data for competitive research and market analysis.
- Exporting conversation threads for archival purposes or training custom NLP models.
How Threads Replies Scraper Works
- Initiate the scraping process by sending a POST request to the Apify actor with the targeted Threads post URLs.
- Receive a unique run ID and dataset ID to track the progress of the asynchronous operation.
- Poll the API status at regular intervals until the scraping task reaches the SUCCEEDED state.
- Fetch the final results as a JSON array, which includes the original post and all extracted replies.
- Filter the results based on the item_type field to separate top-level content from user comments.
Threads Replies Scraper Setup
To utilize this skill, you must provide an active Apify API token. Set this in your environment to authenticate your requests.
export APIFY_API_TOKEN='your_apify_api_token'
When configuring your input, ensure the post_urls are formatted as objects within an array, and specify the max_replies (between 10 and 50) to control data volume.
Threads Replies Scraper Data Schema & Taxonomy
The skill returns structured data categorized by item_type. Below is a breakdown of the primary fields available in the output:
| Field Name | Type | Description |
|---|---|---|
author_username |
String | The handle of the user who created the post or reply. |
text_content |
String | The actual text body of the content. |
like_count |
Integer | Total likes received by the item. |
reply_count |
Integer | Total number of nested replies. |
item_type |
String | Identifies if the item is an original_post or a reply. |
is_liked_by_author |
Boolean | (Replies only) Indicates if the post creator liked the reply. |
source_post_url |
String | Links the reply back to the parent Threads post. |
Threads Replies Scraper Advanced Features
- Multi-post scraping support allowing for the processing of several URLs in a single execution cycle.
- Engagement tracking via the is_liked_by_author field to identify high-value community interactions.
- Automated extraction of rich metadata including mentions, hashtags, and media types for deep analysis.
- Asynchronous architecture optimized for Openclaw Skills to ensure reliable data retrieval without blocking workflows.
SKILL.md
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