Threads Scraper for Openclaw

A powerful data extraction tool for Meta Threads that allows users to scrape posts, monitor hashtags, and analyze engagement metrics without requiring an account login.

futurizerush
v0.2.1
Apr 11, 2026
1
772
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install apify-threads-scraper

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install apify-threads-scraper 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 Scraper?

The Threads Scraper is a specialized integration for Openclaw Skills designed to provide programmatic access to Meta Threads data. By leveraging the Apify platform, this skill enables developers and researchers to bypass the complexities of social media scraping. It provides a structured way to gather public posts, user profiles, and detailed engagement statistics like likes, replies, and view counts.

Built for reliability and ease of use, this Openclaw Skills component functions without needing session IDs or login credentials. It handles the heavy lifting of navigating the Threads architecture, returning clean, snake_case JSON data that is ready for analysis, sentiment monitoring, or integration into larger data pipelines.

Threads Scraper Use Cases

  • Competitive analysis by monitoring specific usernames and their engagement trends.
  • Real-time social listening for brand mentions or industry keywords using the search mode.
  • Academic or market research through historical data extraction using date filters.
  • Influencer discovery and vetting by analyzing follower counts and post-performance metrics.
  • Automated content curation by tracking specific hashtags across the Threads ecosystem.

How Threads Scraper Works

  1. Initialization: The skill receives a request with a specific mode (user, keyword, or search) and the necessary parameters like usernames or hashtags.
  2. Actor Triggering: It sends a POST request to the futurizerush/meta-threads-scraper actor on the Apify platform to initiate an asynchronous run.
  3. Status Polling: The skill monitors the execution status via the run ID, checking periodically until the process reaches a SUCCEEDED state.
  4. Data Retrieval: Once successful, the skill fetches the results from the default dataset associated with the run.
  5. Format Transformation: The raw data is returned as a structured JSON array, featuring normalized fields for easy programmatic consumption.

Threads Scraper Setup

To use this within the Openclaw Skills ecosystem, ensure you have your API credentials configured:

  1. Obtain an API Token from the Apify Console.
  2. Set the environment variable:
export APIFY_API_TOKEN='your_api_token_here'
  1. Ensure you have curl or a Python environment ready to interface with the API endpoints.

Threads Scraper Data Schema & Taxonomy

The skill returns a JSON array of objects. Key fields include:

Field Description Type
text_content The actual text of the Threads post String
username The handle of the post creator String
like_count Total number of likes received Integer
view_count Total views on the post Integer
created_at ISO timestamp of the post String
media_url Direct link to attached image or video String
search_keyword The keyword used to find the post String

Threads Scraper Advanced Features

  • Multi-mode scraping: Choose between targeted user timelines, hashtag discovery, or full-text search.
  • Search Filtering: Toggle between top-performing content or the most recent updates for real-time monitoring.
  • Date Range Selection: Narrow down search results to specific timeframes using start and end date parameters.
  • Detailed Metadata: Access granular data including verification status, bio links, mentions, and repost counts.
  • Scalable Architecture: Supports fetching up to hundreds of posts per request with built-in asynchronous handling.

SKILL.md


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