MR
Mayur Rathi
@sickn33
⭐ 40.7k GitHub stars

x-twitter-scraper

x-twitter-scraper is an data AI skill with a core value of X/Twitter automation skill for tweet search, follower export, posting, DMs, webhooks, MCP, SDKs, Hermes Tweet, and TweetClaw. It helps developers solve real-world problems in the data domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

X/Twitter automation skill for tweet search, follower export, posting, DMs, webhooks, MCP, SDKs, Hermes Tweet, and TweetClaw.

Last verified on: 2026-07-14

Quick Facts

Category data
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 40.7k
Last Verified 2026-07-14
Risk Level Low
mkdir -p ./skills/x-twitter-scraper && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/x-twitter-scraper/SKILL.md -o ./skills/x-twitter-scraper/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

# X Twitter Scraper


Use this skill when a user wants to integrate Xquik into an app, script, data pipeline, or AI agent workflow for X API and Twitter scraper tasks.


Use Cases


- Search tweets, fetch tweet details, read timelines, and download media.

- Look up users, check relationships, and export followers or following.

- Start extraction jobs for replies, reposts, quotes, likes, lists, communities, articles, and search results.

- Create account monitors and verify HMAC-signed webhook events.

- Add TypeScript, Python, Go, Java, Kotlin, C#, Ruby, PHP, CLI, or Terraform clients.

- Connect agent runtimes through the Xquik MCP server.

- Install TweetClaw when the workflow belongs inside OpenClaw and needs plugin-managed approvals for X account actions.


Source Checks


Before writing code, inspect the current Xquik source material:


- REST API docs: https://docs.xquik.com/api-reference/overview

- SDK index: https://docs.xquik.com/sdks

- OpenAPI spec: https://xquik.com/openapi.json

- MCP server docs: https://docs.xquik.com/mcp/overview

- Skill repo: https://github.com/Xquik-dev/x-twitter-scraper

- TweetClaw OpenClaw plugin: https://github.com/Xquik-dev/tweetclaw

- TweetClaw npm registry metadata: https://registry.npmjs.org/@xquik%2Ftweetclaw


Do not invent endpoint names, request fields, response fields, scopes, pricing, limits, or package names. Read the relevant SDK README and API reference page first.


Implementation Flow


1. Identify the workflow: search, lookup, extraction, monitor, webhook, media, write action, billing, or MCP.

2. Choose the integration surface: generated SDK for application code, REST for custom clients, MCP for agents, TweetClaw for OpenClaw plugin workflows, or webhooks for event delivery.

3. Confirm authentication requirements from the docs and use environment variables for API keys.

4. Use typed request and response models when an SDK exists for the user's language.

5. Add retries and pagination according to the SDK or API docs.

6. Add explicit user confirmation before write actions, payment flows, or long-running monitoring.

7. Keep webhook verification server-side and compare HMAC signatures before processing events.

8. Return structured data to the caller instead of scraping generated UI output.


SDK Pattern


When application code is involved, match the SDK to the user's project language:


- Inspect project files and package manifests to identify the language and framework.

- Open the SDK index, then read the matching SDK README before choosing install commands, package names, imports, or client methods.

- Prefer the official SDK for the detected language when one exists.

- Use REST only when the project language has no suitable official SDK or the user asks for a custom client.

- Keep API keys in environment variables or the project's existing secret manager.


Use project-native typed request and response models. Keep network calls in server-side code unless the SDK docs explicitly support browser use.


Webhook Pattern


When adding webhook handlers:


- Read the documented signing header name and payload format.

- Verify the HMAC signature before parsing business logic.

- Reject missing, malformed, or mismatched signatures.

- Make handlers idempotent because webhook delivery can retry.

- Store only the fields needed for the product workflow.


MCP Pattern


Use the MCP server when the user wants an agent to explore or call Xquik tools directly. Keep application code on REST or SDK clients when the app needs stable typed contracts, tests, or internal abstractions.


OpenClaw Plugin Pattern


Use TweetClaw when the user is working in OpenClaw, wants installable plugin metadata, or needs an approval-reviewed path for account-changing X actions. Keep application services on REST or SDK clients when the project needs typed contracts, server-side abstractions, or long-lived backend jobs outside OpenClaw.


Before suggesting install commands or tool names, read the TweetClaw README and pac

🎯 Best For

  • Claude users
  • Data professionals
  • Analytics teams
  • Researchers

💡 Use Cases

  • Data pipeline auditing
  • Query optimization

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply x-twitter-scraper to Your Work

    Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.

  4. 4

    Review and Refine

    Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.

❓ Frequently Asked Questions

How do I install x-twitter-scraper?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/x-twitter-scraper/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Ignoring data quality

AI analysis inherits all data quality issues — profile your data first.

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