X Twitter Scraper

Affordable X/Twitter data scraper built for AI coding agents and automation workflows.

4.6 (5)

مراجعة بواسطة Daniel Nikulshyn·تم التحديث مايو 2026

Automation Web Scraping AI Agents Social Media API Developer Tools Data Extraction

نظرة عامة

X Twitter Scraper is a developer-focused tool for extracting public data from X (formerly Twitter) at a low cost per request. It targets engineers building AI agents, research pipelines, and analytics products that need reliable access to tweets, profiles, and engagement metrics without managing scraping infrastructure. The service emphasizes simple integration with coding agents and LLM-based workflows, returning structured data that can be passed directly into prompts, vector stores, or downstream processing. It is positioned as a budget-friendly alternative to official enterprise APIs and heavier scraping platforms.

الميزات الرئيسية

Tweet and profile data extraction
Search and keyword-based scraping
Engagement and metadata fields
Developer-friendly API responses
Designed for AI agent pipelines
Pay-as-you-go pricing model

حالات الاستخدام

Feed Tweets into AI Agent Pipelines

Pull structured tweet and profile data directly into LLM prompts or autonomous agents, enabling them to reason over real-time X content without custom scraping code.

Build Social Media Analytics Dashboards

Extract engagement metrics and metadata to power analytics products tracking brand mentions, influencer performance, or campaign reach across X.

Research and Trend Monitoring

Run keyword and search-based scraping to collect tweets for academic research, sentiment analysis, or trend detection pipelines at low cost per request.

Populate Vector Stores for RAG

Continuously ingest tweets and profile data into vector databases to support retrieval-augmented generation apps that need fresh social context.

المزايا والعيوب

المزايا

Lower cost than official X API tiers
Structured output suited for AI agents
Simple integration for developers
Handles scraping infrastructure for you

العيوب

Depends on X's evolving anti-scraping policies
Limited to publicly available data
May require rate management at scale

المراجعات

4.6

المتوسط من 5 تقييم.

سجّل الدخول لكتابة مراجعة.

Aaliyah Johnson

Does the job

Pretty happy overall. Engagement and metadata fields just works and simple integration for developers. Limited to publicly available data can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Ingrid Bauer

Solid for our team

We rolled this out across the team last quarter and handles scraping infrastructure for you. Designed for AI agent pipelines fits neatly into how we already work, and developer-friendly API responses removed a step we used to do by hand. but it has held up under daily use.

Joanna Kowalski

Use it every day

Honestly didn't expect to like it this much. Engagement and metadata fields is exactly what I needed, and handles scraping infrastructure for you. but I reach for it almost every day now and it just clicks.

Carlos Mendoza

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on engagement and metadata fields, and handles scraping infrastructure for you caught me off guard. May require rate management at scale is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Grace Okafor

Years in this space

I've evaluated a lot of these over the years. What stands out here is developer-friendly API responses — handled better than most — and structured output suited for AI agents. Worth the time if this is your use case.