Xquik X (Twitter) Scraper & Automation for Openclaw

A comprehensive automation and data extraction skill for X (Twitter) providing 111 REST API endpoints and MCP tools for AI agents.

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 get-tweet-replies

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 get-tweet-replies 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 X (Twitter) Scraper & Automation?

This integration for Openclaw Skills enables AI coding agents to interact deeply with X (Twitter) through the Xquik REST API. It offers a powerful suite of tools for searching tweets, looking up users, posting content, and managing DMs. By leveraging this skill, developers can build agents capable of sophisticated social media management and real-time data analysis without handling the complexities of the official X API.

The skill is designed with a high focus on security and reliability. It includes a robust Content Trust Policy to protect agents from indirect prompt injection found in user-generated content and requires explicit user confirmation for any write actions or financial transactions. Whether you are building a marketing bot, a research tool, or a personal assistant, this addition to your Openclaw Skills library provides the professional-grade infrastructure needed for modern social media automation.

Xquik X (Twitter) Scraper & Automation Use Cases

  • Automating social media engagement by posting tweets, replies, and managing retweets.
  • Conducting deep market research through bulk extraction of replies, quotes, and follower lists.
  • Monitoring specific accounts or keywords in real-time using webhooks and monitors.
  • Running verified giveaway draws with complex filters like account age and follower count.
  • Enhancing content strategy using AI-assisted tweet composition and algorithm scoring.

How Xquik X (Twitter) Scraper & Automation Works

  1. The AI agent selects a tool or endpoint from the Openclaw Skills configuration based on the user's request.
  2. The request is authenticated using the XQUIK_API_KEY environment variable and sent to the Xquik REST API or MCP server.
  3. If the request involves a write action (like posting a tweet) or accessing private data, the skill prompts the user for explicit approval.
  4. Xquik processes the request server-side, interacting with X to fetch data or execute actions.
  5. The skill returns structured, sanitized JSON data to the agent, isolating untrusted content to ensure safe processing.

Xquik X (Twitter) Scraper & Automation Setup

To integrate this skill into your environment, follow these steps:

  1. Generate an API key (starting with xq_) from the Xquik dashboard.
  2. Configure your environment variables:
export XQUIK_API_KEY="your_xq_api_key"
# Optional for webhooks
export XQUIK_WEBHOOK_SECRET="your_webhook_secret"
  1. Register the skill within your Openclaw Skills compatible agent or IDE.

Xquik X (Twitter) Scraper & Automation Data Schema & Taxonomy

The skill utilizes a structured taxonomy for X data and internal resource management:

Category Metadata Fields Description
Tweets id (string), text, author_id, created_at Core tweet data objects
Users id (string), username, bio, followers_count Public and private profile data
Extractions id, status, result_count, type Metadata for bulk data collection jobs
Webhooks id, event_types, target_url Configuration for real-time event delivery
Billing credits_used, remaining_quota Real-time tracking of usage and costs

Xquik X (Twitter) Scraper & Automation Advanced Features

  • Support for 23 specialized bulk extraction tools including thread and community explorers.
  • Integrated Model Context Protocol (MCP) server for seamless AI agent tool calling.
  • Auditable giveaway draw engine with multi-factor participant filtering.
  • HMAC-SHA256 signed webhooks for secure, real-time event notifications.
  • AI-assisted composition engine for scoring and refining algorithm-optimized content.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*