Xquik Twitter Scraper & Automation for Openclaw

A comprehensive X (Twitter) integration suite providing 111 REST API endpoints and MCP tools for search, automation, and bulk data extraction.

xquik
v1.0.1
Apr 23, 2026
0
1.6k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install post-tweets

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install post-tweets using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Xquik Twitter Scraper & Automation?

The Xquik skill is a high-performance bridge for AI agents to interact with X (Twitter) through a secure and structured interface. Designed for the Openclaw Skills ecosystem, it enables agents to perform complex operations such as searching tweets, managing account interactions, and monitoring real-time social media events. The skill prioritizes security by isolating untrusted user-generated content and requiring explicit user confirmation for all write actions and financial transactions.

By integrating this skill, developers can leverage 111 specialized endpoints to build sophisticated social media agents. Whether you are performing sentiment analysis on bulk data or automating community engagement, Xquik provides the necessary infrastructure through its REST API and native Model Context Protocol support, ensuring seamless compatibility with modern AI coding environments.

Xquik Twitter Scraper & Automation Use Cases

  • Performing bulk data extraction of tweet replies, retweets, and follower lists for market research.
  • Automating social media management tasks such as posting tweets, sending DMs, and updating profiles.
  • Setting up real-time monitoring for specific keywords or accounts with webhook notifications.
  • Conducting auditable giveaway draws with advanced filters like account age and follower count.
  • Using AI-assisted tools to compose and score tweets for maximum algorithmic engagement.

How Xquik Twitter Scraper & Automation Works

  1. The AI agent authenticates with the Xquik infrastructure using a secure API key via the x-api-key header.
  2. The agent utilizes the xquik tool or REST endpoints to query data or submit actions based on user prompts.
  3. For bulk extraction, the skill first provides an estimate of the result count and cost before initiating the job.
  4. Write operations undergo a mandatory confirmation step where the agent presents the proposed action to the user.
  5. Results are returned as structured JSON or can be exported into various formats like CSV, PDF, or Excel for further analysis.

Xquik Twitter Scraper & Automation Setup

To integrate this skill within the Openclaw Skills framework, you must first obtain an API key from the Xquik dashboard. Configure your environment by setting the primary credential:

export XQUIK_API_KEY="xq_your_64_char_key"

For MCP-based agents, connect to the server at https://xquik.com/mcp. If you are building a webhook handler, you will also need to store the XQUIK_WEBHOOK_SECRET provided during webhook registration.

Xquik Twitter Scraper & Automation Data Schema & Taxonomy

Feature Specification
API Endpoints 111 REST endpoints across 10 functional categories.
Data Formats Timestamps in ISO 8601 UTC; IDs as strings to prevent bigint overflow.
Export Options Supports csv, json, md, pdf, txt, and xlsx formats.
Rate Limits Read: 120/60s, Write: 30/60s, Delete: 15/60s (per method tier).
Authentication HMAC-SHA256 signed webhooks and API key-based REST/MCP access.

Xquik Twitter Scraper & Automation Advanced Features

  • Full Model Context Protocol (MCP) support for native integration with AI IDEs.
  • Real-time account and keyword monitoring via high-performance webhooks.
  • Advanced bulk extraction tools for threads, community posts, and verified followers.
  • AI composition engine for algorithmically optimized content and style analysis.
  • Comprehensive giveaway draw system with multi-layer filtering and auditable results.

SKILL.md


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