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x-insights

Scrape and analyze X content for trending topics and engagement patterns.

8|1|Updated Mar 21, 2026
Search Tags:#twitter#apify#analyze#scrape#x#trend-analysis#social-listening
One-click install
npx skills add https://github.com/MSApps-Mobile/claude-plugins --skill x-insights
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: x-insights
Source: https://github.com/MSApps-Mobile/claude-plugins/tree/main/plugins/x-content-intelligence/skills/x-insights
Command: npx skills add https://github.com/MSApps-Mobile/claude-plugins --skill x-insights

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates gathering and interpreting X (Twitter) content so users can quickly discover trending topics, community sentiment, engagement patterns, and high-performing posts without manually scraping and sifting through timelines.

Core Features & Use Cases

  • Apify-powered scraping: Configures and runs the apidojo/tweet-scraper Actor to collect tweets by keywords, hashtags, handles, or URLs with adjustable maxItems and sort options.
  • Structured analysis: Extracts dominant themes, tone, engagement drivers, top accounts, and format recommendations tailored to marketing, community research, or competitive monitoring.
  • Actionable reporting: Produces quick summaries, structured reports, or deep-dive analyses with example posts, engagement metrics, and recommended next actions.
  • Use Case: A social media manager scans 200 posts mentioning a product to identify rising complaints, popular feature requests, and influencers to engage.

Quick Start

Analyze the top 100 tweets mentioning "product X" from the past 7 days to summarize trending topics, high-engagement posts, and recommended messaging.

Frequently Asked Questions about x-insights

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

FAQPage Schema
How do I scrape and analyze Twitter posts for trending topics and engagement patterns?▼

Scrape and analyze Twitter posts by running the apidojo/tweet-scraper Actor via an Apify MCP connection, configuring searchTerms, twitterHandles, or startUrls to collect tweets and extract trending topics, tone, and engagement drivers from the results.

Do I need an Apify MCP connection to extract community insights from X content?▼

Yes, extracting community insights from X content requires an active Apify MCP connection with call-actor and get-actor-output permissions to execute the tweet-scraper Actor and retrieve the scraped data for analysis.

Can I analyze tweets from specific user accounts and URLs instead of just keywords?▼

Yes, you can analyze tweets from specific user accounts and URLs by configuring the tweet-scraper Actor with twitterHandles for profile scraping or startUrls for URL-based scrapes, alongside adjustable maxItems and sort options.

What's the best way to perform social listening on a product mention across X timelines?▼

Perform social listening on a product mention by scraping up to 200 posts mentioning the product over a specified time range, then applying structured analysis to identify rising complaints, popular feature requests, influencers, and recommended messaging.

How does X content analysis identify high-performing posts for marketing strategy?▼

X content analysis identifies high-performing posts by evaluating engagement metrics from the scraped tweets, extracting dominant themes, top accounts, and format recommendations tailored for marketing, community research, or competitive monitoring.

Can I limit the number of scraped tweets and sort them by specific criteria for trend analysis?▼

Yes, you can limit the number of scraped tweets using the maxItems parameter and apply sort options within the tweet-scraper Actor to organize the collected data for targeted trend analysis across specified time ranges.

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