How does this skill handle Twitter's strict anti-bot and login wall protections?

This skill automates the identification and data extraction of Twitter/X profiles, using stealth-focused browser automation to bypass login requirements and anti-bot measures that usually block standard scrapers.

What exactly is included in the purchase of the Twitter Scraper skill?

The package includes the full Python source code, Playwright integration scripts, stealth configuration files, and a comprehensive guide for setting up residential proxies and API keys.

Do I need to purchase any third-party services like proxies or APIs to use this?

A residential proxy is highly recommended for high-volume scraping to prevent IP rate-limiting, and you will need a Google Custom Search API key if you plan to use the automated profile discovery feature.

Do I need to provide my own Twitter/X account credentials to run the scraper?

No, this skill is specifically designed to extract public profile metadata and media without needing to log in, which significantly reduces the risk of account suspension.

Can I integrate this skill into my existing AI agent or workflow?

Yes, the skill is built with Python 3 and Playwright, making it compatible with any AI agent framework that supports local script execution or custom tool integration.

What happens if Twitter updates its website and the scraper stops working?

While the skill uses robust DOM selectors and stealth scripts, we provide periodic updates to address changes in Twitter's site architecture or bot detection algorithms at no additional cost.

Works with the AI tools you already use

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Twitter/X Scraper

Automated Twitter/X profile discovery and browser-based scraping with anti-detection and proxy support.

Secure checkout via Stripe

30-day refund guarantee

Converts to your local currency at checkout

Security scanned

Twitter/X Scraper

Example session with this skill installed

Find 10 tech influencers in Miami and scrape their profile stats and recent tweets. Save the results as a CSV.

Read your context and instructions
Compiled the twitter x scraper
Generated the data export

I have initiated the discovery and scraping process for tech influencers in Miami. Using the DuckDuckGo fallback for discovery, I identified 10 relevant profiles and performed stealth browser scraping to extract their metrics.

Miami Tech Influencer Report

Username	Display Name	Followers	Verified	Top Tweet Engagement	Media Saved
miamitechguy	Alex Rivera	45,200	Yes	1.2k Likes, 340 RTs	3 images
305dev	Sofia Chen	12,800	No	450 Likes, 89 RTs	1 image
venturemiami	Miami VC	89,500	Yes	2.1k Likes, 600 RTs	5 images
cryptobeach	Julian Voss	5,400	No	120 Likes, 15 RTs	2 images
sunshinecode	Elena Rodriguez	22,100	Yes	890 Likes, 210 RTs	4 images
techeventsmia	MIA Tech Hub	31,000	Yes	560 Likes, 150 RTs	2 images
startuphialeah	Marcus Thorne	2,900	No	95 Likes, 12 RTs	1 image
brickellfintech	David Bloom	15,300	No	310 Likes, 45 RTs	3 images
magiccityai	Sarah J.	7,800	No	205 Likes, 33 RTs	1 image
siliconbeach305	Tech Watch	110,000	Yes	4.5k Likes, 1.1k RTs	6 images

Next steps

Access the full dataset in data/export_20260220_1430.csv.
Review the downloaded media files in the thumbnails/ directory.
Configure a residential proxy in config/scraper_config.json before running larger batches.

twitter-x-scraper.csv

CSV · data export

Generated

Example file from a real run - the skill writes it into your workspace.

Connects securely to your tools. The creator never sees your data.

What you get

Discover influencers by location and industry category.Extract engagement metrics and follower counts without an API key.Bypass bot detection using human behavior simulation and stealth scripts.Generate lead lists from public social media profiles automatically.

About this skill

The problem

Manually collecting Twitter/X profile data for lead generation or influencer research is slow and prone to immediate IP bans. Developers face constant challenges with login walls, sophisticated bot detection, and unstable DOM selectors.

What it does

Discovers niche-specific profiles by location and category using Google Custom Search or DuckDuckGo.
Extracts full profile metadata including follower counts, verified status, and engagement metrics without requiring a login.
Simulates human behavior using Playwright with stealth scripts, canvas noise, and randomized mouse movements.
Automates media archival by downloading profile pictures and tweet media to local storage.
Manages long-running sessions with built-in checkpointing, auto-resume, and residential proxy rotation.

Frameworks & tools

Python 3, Playwright, Chromium, and Google Custom Search API.

Why this beats prompting it yourself

Vanilla LLM prompts cannot bypass Twitter's aggressive anti-bot measures or handle dynamic browser rendering. This skill integrates specific fingerprinting evasion and residential proxy logic that a standard agentic script lacks, ensuring reliable data extraction at scale.

Use cases

Building verified lead lists for local businesses based on geographic metadata.
Conducting competitive analysis by monitoring engagement trends across industry influencers.
Archiving social media presence for brand sentiment analysis and sentiment tracking.
Automating the discovery of niche micro-influencers for targeted marketing campaigns.

Known limitations

Does not scrape private (protected) accounts. Requires a residential proxy for high-volume operations to avoid rate limits.

How to install

Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

~30 seconds

1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.