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guizonatto
guizonattoCOMMUNITY
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trends

Fetches Twitter Brazil trending topics and generates explanatory summaries for each trend.

Updated Mar 30, 2026
Search Tags:#summarization#web scraping#twitter#cron#trending topics#beautifulsoup#brazil
One-click install
npx skills add https://github.com/guizonatto/myopen-claw --skill trends-guizonatto
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: trends
Source: https://github.com/guizonatto/myopen-claw/tree/main/skills/trends
Command: npx skills add https://github.com/guizonatto/myopen-claw --skill trends-guizonatto

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, beautifulsoup4.

What problem does it solve? Manually checking what is trending on Twitter Brazil and writing context for each topic is repetitive and time-consuming, especially when you need fresh trend data on a schedule for content or monitoring routines. ## Core Features & Use Cases - Trend Scraping: Fetches the current trending topics for Brazil directly from trends24.in using HTTP requests and HTML parsing. - Automatic Summaries: Generates a short explanatory summary for every trend so each topic carries context. - Scheduled Integration: Designed to run with a cronjob and store results in the trends_mcp MCP endpoint for periodic updates. - Use Case: A content creator schedules a daily cron that pulls Brazil's trending topics, attaches a summary to each one, and saves the list to the MCP server so a chatbot can answer "what is trending today" instantly. ## Quick Start Ask the assistant to fetch the current Twitter Brazil trending topics and save them with summaries to the trends MCP.

Frequently Asked Questions about trends

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

FAQPage Schema
How do I get Twitter Brazil trending topics in Python?▼

Send an HTTP GET request to https://trends24.in/brazil/ with the requests library and parse the HTML with BeautifulSoup, selecting the trend links inside the trend-card list elements. Deduplicate the collected names before using them.

How to scrape trends24.in with BeautifulSoup?▼

Use requests to download the page, then BeautifulSoup with the selector ".trend-card .trend-card__list li a" to extract each trend's text. Filter out empty strings and remove duplicates while preserving order.

Should I use web_fetch or a browser for trends24.in?▼

Use web_fetch directly on https://trends24.in/brazil/ since the page renders its trend list without JavaScript. Only fall back to a browser tool if the page stops rendering the needed content server-side.

Can I schedule automatic trend updates with a cronjob?▼

Yes, the skill is designed to run under a cronjob for periodic updates. Each run fetches the latest trends, generates summaries, and posts the results to the trends_mcp MCP endpoint.

What are the limitations of scraping trending topics from trends24.in?▼

The scraper depends on trends24.in's HTML structure, so layout changes can break the CSS selectors. Summaries are placeholder heuristics unless connected to an LLM, and there is no built-in retry or rate-limit handling.

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