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twitter-cleaner

Fetch complete tweet content and images from Twitter links into JSON or preview HTML.

35|10|Updated Dec 29, 2025
Search Tags:#data extraction#twitter#playwright#data cleaning#x#tweet scraping
One-click install
npx skills add https://github.com/ttmouse/skills --skill twitter-cleaner
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: twitter-cleaner
Source: https://github.com/ttmouse/skills/tree/main/twitter-cleaner
Command: npx skills add https://github.com/ttmouse/skills --skill twitter-cleaner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires playwright, and includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of cleaning raw Twitter (X) data, ensuring you get complete tweet content and images from just links, making it ready for further analysis or storage.

Core Features & Use Cases

  • Full Tweet Content Retrieval: Fetches the complete text of tweets when only a link is available.
  • Image Extraction: Collects all associated image URLs from tweets.
  • Data Structuring: Organizes cleaned data into a filterable format (JSON or preview HTML).
  • Use Case: After scraping tweet links, use this Skill to automatically gather the full text and images for each tweet, preparing a clean dataset for sentiment analysis or archival.

Quick Start

Use the twitter-cleaner skill to clean the links in the file 'twitter-links-2026-01-18.txt'.

Frequently Asked Questions about twitter-cleaner

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract full tweet content and images from a list of Twitter links?▼

To extract full tweet content and images from Twitter links, you can automate browser interaction using Playwright to fetch complete text and image URLs. This process parses tweet data from provided links and generates structured JSON or preview HTML outputs for analysis or database import.

What is tweet scraping data cleaning and when do I need it?▼

Tweet scraping data cleaning is the process of retrieving complete tweet text and images from raw links or preview HTML. You need it when your initial scraping only captures URLs, requiring structured JSON data for subsequent sentiment analysis or archival.

Does this Twitter data cleaning approach require Playwright for browser automation?▼

Yes, this Twitter data cleaning approach requires Playwright for browser automation. It relies on Playwright to interact with the twitterhot.vercel.app service to fetch complete tweet content and images from links.

Can I format extracted tweet data into JSON for database import?▼

Yes, you can format extracted tweet data into JSON for database import. The process organizes cleaned tweet text and image URLs into a structured, filterable JSON format, making it ready for subsequent analysis or storage.

What's the best way to prepare raw Twitter link files for sentiment analysis?▼

The best way to prepare raw Twitter link files for sentiment analysis is to automate the retrieval of full tweet text and associated images. This creates a clean, structured dataset in JSON format from the initial links.

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