Extract text and metadata from a Medium post URL into structured JSON.
npx skills add https://github.com/AstorYH/PASB --skill medium-post-scraper
Please help me install this Agent Skill. Skill: medium-post-scraper Source: https://github.com/AstorYH/PASB/tree/main/nanobot/skills/medium-post-scraper Command: npx skills add https://github.com/AstorYH/PASB --skill medium-post-scraper
This skill automates the process of extracting key information and the full content from Medium articles, saving users the time and effort of manual copying and pasting.
Use the medium-post-scraper skill to extract the content from the URL https://medium.com/@exampleuser/example-post-12345.
High-intent search queries and answers about installing and using this skill.
To extract text and metadata from a Medium article, provide the post URL to the scraper. It parses the HTML content to identify and retrieve the title, author, publication, and main body text, returning the results as structured JSON.
The best way to scrape Medium posts for content automatically is by using a scraping skill that processes a given URL. It automates the extraction of the article's main body text and essential metadata, eliminating manual copying and pasting.
Yes, you can retrieve the author and publication metadata from a Medium post URL. The scraper parses the article's HTML content to capture these essential details alongside the post's title and main body text for easy reference.
The Medium post scraper outputs extracted content and metadata as structured JSON. If the scraping process encounters potential errors during HTML parsing, it returns a structured error message instead of the content payload.
Web scraping for Medium articles works well for literature reviews by quickly gathering content from multiple post URLs. It automates extracting the necessary text and metadata, saving researchers the time of manual data entry.
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