XCrawl's HackerNews Scraper API delivers comprehensive hackernews datasets effortlessly. Bypass rate limits, IP blocks, and parsing complexities to extract stories, comments, user profiles, and engagement metrics in structured JSON. Ideal for developers building data pipelines without maintenance headaches.
Track tech trends with real-time hackernews datasets from top stories and search results. Analyze discussions via threaded comments and engagement metrics for sentiment insights. Profile influential users through bios and submission history for competitive intelligence and AI model training.
Get clean, parseable hackernews datasets in JSON format, ready for Python scripts, databases, or real-time dashboards without manual cleanup.
Rotating residential proxies evade IP bans and blocks, enabling reliable large-scale hackernews dataset extraction at high volumes.
Fetch live hackernews datasets with sub-second latency, perfect for monitoring breaking news, upvotes, and comment threads instantly.
Handle millions of requests with async endpoints, supporting Node.js or Python for massive hackernews datasets without downtime.
Used by teams across analytics, research, monitoring, and growth workflows.
Access the most commonly used Hackernews Scraper API data types — fully structured, consistently formatted, and production-ready.
Scrape top, new, best, and ask stories including titles, links, and scores.
Extract user profiles, bios, karma, and submission history.
Pull threaded comments with full reply chains and text content.
Query and rank stories, comments by keywords for targeted datasets.
Gather upvotes, comments count, and user influence data.
Detailed bios, created date, and profile metadata for users.
Seamlessly integrate HackerNews Scraper API via REST endpoints for precise hackernews dataset control.
Use the intuitive dashboard to scrape hackernews datasets without writing code.
Retrieve Hackernews Scraper API posts and author information in seconds with a simple API call.
curl -X POST https://xcrawl.com -H "Authorization: YOU_TOKEN" -H "Content-Type: application/json" -d "{\"geo\":\"US\",\"context\":{\"keyword_list\":[{\"keyword\":\"Apple\"}],\"start_page\":1,\"pages\":1},\"source\":\"amazon_search\"}"
ML-driven proxy selection and rotation using our premium proxy pool from 190 countries.
Unique HTTP headers, JavaScript, and browser fingerprints ensure resilience to dynamic content.
Automatic retries and CAPTCHA bypassing for uninterrupted data retrieval.
Extract data from several pages at the same time with up to 10K URLs per batch.
Receive data via cloud storage such as SFTP or AWSS3, or retrieve results through APIs.
Set your preferred frequency for automated, custom-timed data collection, with results delivered directly to your cloud storage.
Eliminate proxy maintenance and infrastructure hassle. No need to build crawler systems.
Easy to integrate with support for customization.
Receive professional support in case of anyquestions or issues.
TransparentTransparent web scraping pricing with flexible API subscription plans. Compare data extraction costs, purchase crawler access, and start free — then scale as you grow.
... High-volume plans for teams that need more power and dedicated support.
Enjoy higher rate limits, more concurrent browsers, and priority support.
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Learn MoreXCrawl's hackernews dataset scraper is a game-changer—fast, reliable JSON output integrated seamlessly into our Python pipeline.
Perfect for training models; the hackernews datasets on comments and engagement metrics are incredibly accurate and fresh.
Trend tracking with hackernews datasets has never been easier—no more manual parsing headaches.
Real-time hackernews dataset access powers our competitive intel dashboard flawlessly.
Async API for hackernews datasets scales beautifully; integrated in Node.js within hours.
High-quality hackernews datasets on user profiles transformed our influence analysis.
Threaded comments in hackernews datasets enable deep sentiment insights effortlessly.
No IP blocks, clean data—hackernews datasets at enterprise scale without issues.
Structured hackernews datasets fuel our NLP models with zero preprocessing needed.
XCrawl's hackernews dataset scraper is a game-changer—fast, reliable JSON output integrated seamlessly into our Python pipeline.
Perfect for training models; the hackernews datasets on comments and engagement metrics are incredibly accurate and fresh.
Trend tracking with hackernews datasets has never been easier—no more manual parsing headaches.
Real-time hackernews dataset access powers our competitive intel dashboard flawlessly.
Async API for hackernews datasets scales beautifully; integrated in Node.js within hours.
High-quality hackernews datasets on user profiles transformed our influence analysis.
Threaded comments in hackernews datasets enable deep sentiment insights effortlessly.
No IP blocks, clean data—hackernews datasets at enterprise scale without issues.
XCrawl's hackernews dataset scraper is a game-changer—fast, reliable JSON output integrated seamlessly into our Python pipeline.
Perfect for training models; the hackernews datasets on comments and engagement metrics are incredibly accurate and fresh.
Trend tracking with hackernews datasets has never been easier—no more manual parsing headaches.
Real-time hackernews dataset access powers our competitive intel dashboard flawlessly.
Async API for hackernews datasets scales beautifully; integrated in Node.js within hours.
High-quality hackernews datasets on user profiles transformed our influence analysis.
Threaded comments in hackernews datasets enable deep sentiment insights effortlessly.
No IP blocks, clean data—hackernews datasets at enterprise scale without issues.
Structured hackernews datasets fuel our NLP models with zero preprocessing needed.
XCrawl's hackernews dataset scraper is a game-changer—fast, reliable JSON output integrated seamlessly into our Python pipeline.
Perfect for training models; the hackernews datasets on comments and engagement metrics are incredibly accurate and fresh.
Trend tracking with hackernews datasets has never been easier—no more manual parsing headaches.
Real-time hackernews dataset access powers our competitive intel dashboard flawlessly.
Async API for hackernews datasets scales beautifully; integrated in Node.js within hours.
High-quality hackernews datasets on user profiles transformed our influence analysis.
Threaded comments in hackernews datasets enable deep sentiment insights effortlessly.
No IP blocks, clean data—hackernews datasets at enterprise scale without issues.
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