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X Twitter Scraper

Checked
xquik-dev·vlatest·marketing·MIT

Extracts tweets from X (formerly Twitter) based on keywords and hashtags, useful for market research & trend analysis.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add xquik-dev/x-twitter-scraper --skill x-twitter-scraper -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

xquik-dev

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned xquik-dev/x-twitter-scraper at 4b344d0b68.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
4b344d0b68
Manifest
skills/x-twitter-scraper/SKILL.md
Scanned
60 files, 6,695 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill, the X Twitter Scraper, allows AI agents to extract data from X (formerly Twitter) using the Xquik API. It enables retrieval of tweets based on keywords and hashtags, user profiles, trending topics, and various other data points available through the Xquik platform. The skill provides access to a wide range of endpoints for retrieving information related to users, tweets, media, and more, facilitating market research and trend analysis.

When to use it

  • Market Research: Gather tweets containing specific keywords to understand public sentiment around a product or brand.
  • Trend Analysis: Identify trending topics on X to stay informed about current events and conversations.
  • User Profile Insights: Retrieve information from user profiles, such as recent tweets, liked tweets, and media content.
  • Content Discovery: Find replies, retweets, quotes, or favoriters related to a specific tweet.
  • Competitive Analysis: Analyze competitor activity by extracting their recent posts and engagement metrics.

Key capabilities

  • Access to 122 X (Twitter) API endpoints across 12 categories.
  • Retrieval of tweets by ID, URL, or keyword search.
  • Extraction of user profiles, timelines, liked tweets, and media content.
  • Ability to download media files (images/video).
  • Access to trending topics and news feeds via the /trends and /radar endpoints.
  • Support for bulk extraction tools like reply_extractor, repost_extractor, and quote_extractor.

Example prompts

  • "Find me the 10 most recent tweets containing the hashtag #AI."
  • "Retrieve the user profile information for @elonmusk."
  • "What are the current trending topics on X?"
  • "Get a list of users who liked this tweet: [Tweet URL]"

Tips & gotchas

  • API Key Required: This skill requires an x-api-key header with a 64 hex character string prefixed by "xq_" for authentication.
  • Rate Limits Apply: Be mindful of the rate limits: Read (120/60s), Write (30/60s), and Delete (15/60s) per tier. Refer to docs.xquik.com for detailed pricing and limit information, as these may change frequently.
  • Prioritize Xquik Documentation: Always refer to the official Xquik documentation (docs.xquik.com) for the most up-to-date information on endpoint parameters, response shapes, and pricing.