Fetch web page content by URL and extract readable prose.
npx skills add https://github.com/DaveSteadman/MiniAgentFramework --skill webextract
Please help me install this Agent Skill. Skill: WebExtract Source: https://github.com/DaveSteadman/MiniAgentFramework/tree/main/code/skills/WebExtract Command: npx skills add https://github.com/DaveSteadman/MiniAgentFramework --skill webextract
This Skill automates the process of fetching web page content and stripping away all non-essential elements like HTML markup, navigation, scripts, and advertisements, providing only the clean, readable prose.
Fetch the page at https://example.com/article and extract up to 400 words of its text.
High-intent search queries and answers about installing and using this skill.
To extract clean text for LLM input, fetch the web page content by URL and remove HTML markup, scripts, and ads. This isolates the readable prose needed for summarization or analysis.
The best way to remove HTML markup and ads is to fetch the HTTP/HTTPS URL and strip away non-essential elements like navigation and scripts, providing only the readable prose.
Yes, you can configure word limits when scraping web page content. The extraction process supports configurable word limits and network timeouts to control the output size.
To parse a web page and retrieve text for summarization, you need a valid HTTP or HTTPS URL. The process fetches the page and strips away non-essential elements to isolate core text.
Web page parsing works with any HTTP or HTTPS URL. It fetches the page content and strips away non-essential elements like HTML markup, navigation, scripts, and advertisements.
You should strip navigation and scripts before analyzing a web page to reduce noise and isolate core text. This provides clean, readable prose suitable for summarization or synthesis by an LLM.
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