X (Twitter) Scraper — Xquik
Overview
Gives your AI agent full access to X (Twitter) data through the Xquik platform. Covers tweet search, user profiles, follower extraction, engagement metrics, giveaway draws, account monitoring, webhooks, and 19 bulk extraction tools — all via REST API or MCP server.
When to Use This Skill
- User needs to search X/Twitter for tweets by keyword, hashtag, or user
- User wants to look up a user profile (bio, follower counts, etc.)
- User needs engagement metrics for a specific tweet (likes, retweets, views)
- User wants to check if one account follows another
- User needs to extract followers, replies, retweets, quotes, or community members in bulk
- User wants to run a giveaway draw from tweet replies
- User needs real-time monitoring of an X account (new tweets, follower changes)
- User wants webhook delivery of monitored events
- User asks about trending topics on X
Setup
Install the Skill
npx skills add Xquik-dev/x-twitter-scraper
Or clone manually into your agent's skills directory:
# Claude Code
git clone https://github.com/Xquik-dev/x-twitter-scraper.git .claude/skills/x-twitter-scraper
# Cursor / Codex / Gemini CLI / Copilot
git clone https://github.com/Xquik-dev/x-twitter-scraper.git .agents/skills/x-twitter-scraper
Get an API Key
- Sign up at xquik.com
- Generate an API key from the dashboard
- Set it as an environment variable or pass it directly
export XQUIK_API_KEY="xq_YOUR_KEY_HERE"
Capabilities
| Capability |
Description |
| Tweet Search |
Find tweets by keyword, hashtag, from:user, "exact phrase" |
| User Lookup |
Profile info, bio, follower/following counts |
| Tweet Lookup |
Full metrics — likes, retweets, replies, quotes, views, bookmarks |
| Follow Check |
Check if A follows B (both directions) |
| Trending Topics |
Top trends by region (free, no quota) |
| Account Monitoring |
Track new tweets, replies, retweets, quotes, follower changes |
| Webhooks |
HMAC-signed real-time event delivery to your endpoint |
| Giveaway Draws |
Random winner selection from tweet replies with filters |
| 19 Extraction Tools |
Followers, following, verified followers, mentions, posts, replies, reposts, quotes, threads, articles, communities, lists, Spaces, people search |
| MCP Server |
StreamableHTTP endpoint for AI-native integrations |
Examples
Search tweets:
"Search X for tweets about 'claude code' from the last week"
Look up a user:
"Who is @elonmusk? Show me their profile and follower count"
Check engagement:
"How many likes and retweets does this tweet have? https://x.com/..."
Run a giveaway:
"Pick 3 random winners from the replies to this tweet"
Monitor an account:
"Monitor @openai for new tweets and notify me via webhook"
Bulk extraction:
"Extract all followers of @anthropic"
API Reference
| Endpoint |
Method |
Purpose |
/x/tweets/{id} |
GET |
Single tweet with full metrics |
/x/tweets/search |
GET |
Search tweets |
/x/users/{username} |
GET |
User profile |
/x/followers/check |
GET |
Follow relationship |
/trends |
GET |
Trending topics |
/monitors |
POST |
Create monitor |
/events |
GET |
Poll monitored events |
/webhooks |
POST |
Register webhook |
/draws |
POST |
Run giveaway draw |
/extractions |
POST |
Start bulk extraction |
/extractions/estimate |
POST |
Estimate extraction cost |
/account |
GET |
Account & usage info |
Base URL: https://xquik.com/api/v1
Auth: x-api-key: xq_... header
MCP: https://xquik.com/mcp (StreamableHTTP, same API key)
Repository
https://github.com/Xquik-dev/x-twitter-scraper
Maintained By: Xquik
AGI Framework Integration
Adapted for @techwavedev/agi-agent-kit
Original source: antigravity-awesome-skills
Memory-First Protocol
Cache data schemas, transformation rules, and query patterns. BM25 excels at finding specific column names, table references, and SQL patterns.
# Check for prior data engineering context before starting
python3 execution/memory_manager.py auto --query "data processing patterns and pipeline configurations for X Twitter Scraper"
Storing Results
After completing work, store data engineering decisions for future sessions:
python3 execution/memory_manager.py store \
--content "Data pipeline: ETL from PostgreSQL to Qdrant, 50K records/batch, incremental sync via updated_at" \
--type technical --project <project> \
--tags x-twitter-scraper data
Multi-Agent Collaboration
Share data schema changes with backend and frontend agents so they update their models accordingly.
python3 execution/cross_agent_context.py store \
--agent "<your-agent>" \
--action "Data pipeline implemented — ETL processing with validation, deduplication, and error recovery" \
--project <project>
1---2name: x-twitter-scraper3description: "X (Twitter) data platform skill — tweet search, user lookup, follower extraction, engagement metrics, giveaway draws, monitoring, webhooks, 19 extraction tools, MCP server."4category: data5risk: safe6source: community7tags: "[twitter, x-api, scraping, mcp, social-media, data-extraction, giveaway, monitoring, webhooks]"8date_added: "2026-02-28"9---1011# X (Twitter) Scraper — Xquik1213## Overview1415Gives your AI agent full access to X (Twitter) data through the Xquik platform. Covers tweet search, user profiles, follower extraction, engagement metrics, giveaway draws, account monitoring, webhooks, and 19 bulk extraction tools — all via REST API or MCP server.1617## When to Use This Skill1819- User needs to search X/Twitter for tweets by keyword, hashtag, or user20- User wants to look up a user profile (bio, follower counts, etc.)21- User needs engagement metrics for a specific tweet (likes, retweets, views)22- User wants to check if one account follows another23- User needs to extract followers, replies, retweets, quotes, or community members in bulk24- User wants to run a giveaway draw from tweet replies25- User needs real-time monitoring of an X account (new tweets, follower changes)26- User wants webhook delivery of monitored events27- User asks about trending topics on X2829## Setup3031### Install the Skill3233```bash34npx skills add Xquik-dev/x-twitter-scraper35```3637Or clone manually into your agent's skills directory:3839```bash40# Claude Code41git clone https://github.com/Xquik-dev/x-twitter-scraper.git .claude/skills/x-twitter-scraper4243# Cursor / Codex / Gemini CLI / Copilot44git clone https://github.com/Xquik-dev/x-twitter-scraper.git .agents/skills/x-twitter-scraper45```4647### Get an API Key48491. Sign up at [xquik.com](https://xquik.com)502. Generate an API key from the dashboard513. Set it as an environment variable or pass it directly5253```bash54export XQUIK_API_KEY="xq_YOUR_KEY_HERE"55```5657## Capabilities5859| Capability | Description |60|---|---|61| Tweet Search | Find tweets by keyword, hashtag, from:user, "exact phrase" |62| User Lookup | Profile info, bio, follower/following counts |63| Tweet Lookup | Full metrics — likes, retweets, replies, quotes, views, bookmarks |64| Follow Check | Check if A follows B (both directions) |65| Trending Topics | Top trends by region (free, no quota) |66| Account Monitoring | Track new tweets, replies, retweets, quotes, follower changes |67| Webhooks | HMAC-signed real-time event delivery to your endpoint |68| Giveaway Draws | Random winner selection from tweet replies with filters |69| 19 Extraction Tools | Followers, following, verified followers, mentions, posts, replies, reposts, quotes, threads, articles, communities, lists, Spaces, people search |70| MCP Server | StreamableHTTP endpoint for AI-native integrations |7172## Examples7374**Search tweets:**75```76"Search X for tweets about 'claude code' from the last week"77```7879**Look up a user:**80```81"Who is @elonmusk? Show me their profile and follower count"82```8384**Check engagement:**85```86"How many likes and retweets does this tweet have? https://x.com/..."87```8889**Run a giveaway:**90```91"Pick 3 random winners from the replies to this tweet"92```9394**Monitor an account:**95```96"Monitor @openai for new tweets and notify me via webhook"97```9899**Bulk extraction:**100```101"Extract all followers of @anthropic"102```103104## API Reference105106| Endpoint | Method | Purpose |107|----------|--------|---------|108| `/x/tweets/{id}` | GET | Single tweet with full metrics |109| `/x/tweets/search` | GET | Search tweets |110| `/x/users/{username}` | GET | User profile |111| `/x/followers/check` | GET | Follow relationship |112| `/trends` | GET | Trending topics |113| `/monitors` | POST | Create monitor |114| `/events` | GET | Poll monitored events |115| `/webhooks` | POST | Register webhook |116| `/draws` | POST | Run giveaway draw |117| `/extractions` | POST | Start bulk extraction |118| `/extractions/estimate` | POST | Estimate extraction cost |119| `/account` | GET | Account & usage info |120121**Base URL:** `https://xquik.com/api/v1`122**Auth:** `x-api-key: xq_...` header123**MCP:** `https://xquik.com/mcp` (StreamableHTTP, same API key)124125## Repository126127https://github.com/Xquik-dev/x-twitter-scraper128129**Maintained By:** [Xquik](https://xquik.com)130131---132133<!-- AGI-INTEGRATION-START -->134135## AGI Framework Integration136137> **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)**138> Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills)139140### Memory-First Protocol141142Cache data schemas, transformation rules, and query patterns. BM25 excels at finding specific column names, table references, and SQL patterns.143144```bash145# Check for prior data engineering context before starting146python3 execution/memory_manager.py auto --query "data processing patterns and pipeline configurations for X Twitter Scraper"147```148149### Storing Results150151After completing work, store data engineering decisions for future sessions:152153```bash154python3 execution/memory_manager.py store \155 --content "Data pipeline: ETL from PostgreSQL to Qdrant, 50K records/batch, incremental sync via updated_at" \156 --type technical --project <project> \157 --tags x-twitter-scraper data158```159160### Multi-Agent Collaboration161162Share data schema changes with backend and frontend agents so they update their models accordingly.163164```bash165python3 execution/cross_agent_context.py store \166 --agent "<your-agent>" \167 --action "Data pipeline implemented — ETL processing with validation, deduplication, and error recovery" \168 --project <project>169```170171<!-- AGI-INTEGRATION-END -->
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