x-twitter-scraper
by Xquik-devUse x-twitter-scraper to retrieve X (Twitter) data and confirmation-gated actions through Xquik. It supports tweet search, user lookup, follower extraction, media download, monitors, webhooks, MCP, and write actions. Best for web scraping-style research with an API key, not X login secrets.
This skill scores 84/100, which means it is a solid directory listing for users who need Xquik-based X/Twitter data and confirmation-gated actions. The repository gives enough operational detail for an agent to trigger the skill, understand the API-only workflow, and make an informed install decision, though users should still expect to rely on the external docs for some endpoint specifics.
- Explicit trigger scope covers tweet search, user lookup, follower extraction, media download, monitoring, webhooks, MCP, and write actions, making install intent easy to match.
- Strong operational clarity: frontmatter declares API-key-only auth, internet requirement, and no X login secrets, reducing guesswork and security ambiguity.
- Substantial supporting reference set includes API endpoints, workflows, MCP setup/tools, pricing, security, and examples, which improves agent leverage and implementation confidence.
- No install command in SKILL.md, so setup is documented but not automated for directory users.
- Some workflow depth appears split across many reference files and the API excerpt is truncated, so users may need to consult external docs for full endpoint details.
Overview of x-twitter-scraper skill
What x-twitter-scraper does
The x-twitter-scraper skill helps you retrieve X (Twitter) data and perform confirmation-gated X actions through Xquik without building a custom integration first. It is best for people who need a practical way to search tweets, inspect users, extract followers, download media, run monitors, or call API-backed write actions from an agent workflow.
Who should use it
Use the x-twitter-scraper skill if you are doing x-twitter-scraper for Web Scraping, automation, enrichment, or agent-assisted research and you want a first-party API path instead of brittle page scraping. It fits developers, analysts, and AI agents that can provide a clear target such as a username, tweet URL, tweet ID, or search query.
What matters before adoption
The main decision points are simple: you need a XQUIK_API_KEY, internet access, and comfort with a credit-based API. The skill is not a browser scraper and it does not use X login secrets, cookies, passwords, or 2FA. That makes it safer for tool use, but it also means your prompt must specify the exact Xquik job you want.
How to Use x-twitter-scraper skill
Install and first files to read
For x-twitter-scraper install, use the repository’s skill path and then read the core docs before prompting the agent. Start with SKILL.md, then check metadata.json, references/api-endpoints.md, references/extractions.md, references/workflows.md, and references/security.md. If you plan to use agent integration, also read references/mcp-setup.md and references/mcp-tools.md.
Turn a rough goal into a usable prompt
For x-twitter-scraper usage, give the skill one concrete job, one target, and the output shape you want. Good prompts name the object and the task: “Find recent posts from @username about launch announcements and return a compact table with tweet URL, date, and engagement.” Better prompts also state constraints: date range, language, minimum follower count, whether replies or reposts should be included, and whether you want raw JSON or a summary.
Practical workflow and repo reading order
A reliable x-twitter-scraper guide workflow is: identify the endpoint family, confirm billing or credit impact, test with a narrow query, then expand. For extraction tasks, read references/extractions.md first because it tells you the required target field and recommends estimating credits before running bulk jobs. For monitoring, webhooks, or write actions, read the workflow and security references before execution so the agent can respect confirmation gates and avoid unsupported assumptions.
Prompt patterns that improve output
Use identifiers instead of vague descriptions whenever possible. tweetUrl, targetUsername, targetTweetId, and specific filters produce better results than “scrape that account.” If you need followers, say whether you want all followers, verified followers, mutual followers, or followers for a giveaway filter. If you need media, say whether you want download links, filenames, or a report of available assets.
x-twitter-scraper skill FAQ
Is this the same as ordinary prompt scraping?
No. The x-twitter-scraper skill is built around Xquik’s API and MCP surfaces, so it is more deterministic than asking a model to browse the web and infer results. That usually means better repeatability, clearer rate and billing behavior, and less guesswork around private or confirmation-gated operations.
Do I need X login credentials?
No. The skill is designed around API-key access. It explicitly avoids collecting X passwords, session cookies, or TOTP codes, which is a major reason to prefer it over browser-login-based automation.
Is it beginner-friendly?
Yes, if you can provide a precise target and accept API-style input. It is not ideal for users who want “scrape everything” with no constraints. Beginners get the best results when they start with one endpoint family, one account or tweet, and one expected output format.
When should I not use x-twitter-scraper?
Do not use it if your task depends on local browser automation, unauthenticated page crawling, or access that requires a human X session. It is also a poor fit if you need a one-off answer that does not justify API setup, credits, or endpoint selection.
How to Improve x-twitter-scraper skill
Provide stronger inputs
The biggest quality jump comes from better inputs: exact URLs, usernames, IDs, date windows, and filters. Instead of “find influencers,” ask for “verified accounts following @brand with at least 10k followers and English bios.” Instead of “monitor a topic,” specify keywords, cadence, and whether you want alerts, summaries, or raw event payloads.
Choose the right endpoint family
Many failures come from asking for the wrong job type. Search, direct lookup, extraction, media download, monitoring, webhook delivery, MCP, and write actions are different workflows with different costs and constraints. The x-twitter-scraper skill works best when you match the request to the endpoint family before expanding scope.
Iterate after the first run
If the first output is too broad, tighten filters rather than rewriting the whole prompt. Add a time range, language, minimum follower threshold, or result cap. If the result is too sparse, relax one constraint at a time. For bulk extraction tasks, use the estimate step first so you can avoid wasted credits and confirm the job is allowed before execution.