ScraperQ — AI Web Scraper with Auto-Repair Selectors

Description

No-code AI web scraper — auto-healing selectors. Extract data from any website. Build once, never rebuild. CSV, JSON & Sheets. ScraperQ is a Chrome extension for structured data extraction from web pages — the only no-code web scraper that automatically repairs its own CSS selectors when a website changes its HTML. Extract structured data from public web pages without writing CSS or XPath. First data extraction template ready in under 3 minutes. Free credits included — no credit card required. THE PROBLEM EVERY DATA SCRAPER FACES Every web scraper breaks eventually. Websites redesign their HTML constantly. When a site changes its markup, your CSS selectors stop matching — jobs fail silently, spreadsheets fill with empty cells, and you rebuild templates from scratch. This is the hidden cost of every data extraction tool. ScraperQ breaks that cycle. HOW SCRAPERQ WORKS 1. Build a template — Click elements on any web page. ScraperQ's AI analyzes page structure, nearby labels, and semantic roles to generate stable CSS and XPath selectors. No coding required. AI detects fields with human-readable names and assigns data types. First website scraper template ready in under 3 minutes. 2. Run extraction — ScraperQ extracts listings, detail pages, paginated results, or batch URLs. It follows links, visits subpages, and enriches columns. Checkpoint-based jobs support pause and resume — close Chrome and continue from the exact position tomorrow. 3. Auto-repair when sites change — ScraperQ's Chrome Selector Repair Engine (CSRE) monitors 6 health signals per selector: match rate, element count, content pattern, positional stability, attribute integrity, and uniqueness. When drift is detected, CSRE runs a repair and shows you the proposed fix. You approve in one click. Your data scraper templates keep working across site redesigns. WHY SCRAPERQ? ✅ Free credits during beta — no credit card, no row limits, all features available ✅ No code required — click elements on the page, AI writes the selectors ✅ Lives in your browser — no separate app or software to install ✅ Built for JavaScript-heavy sites and SPAs ✅ Pause and resume — even after restarting Chrome ✅ Built-in data transforms — clean and reformat before export ✅ Export to CSV, JSON, Excel, or stream live to Google Sheets KEY FEATURES 🎯 No-Code Web Scraper Setup Open any website, click Start Scraping, and ScraperQ auto-discovers list items and pagination type. AI detects fields, suggests column names, assigns data types, and generates selectors. Ready to extract data in under 3 minutes — no CSS, no XPath, no coding required. 🛡️ Auto-Healing Selectors (CSRE — Chrome Selector Repair Engine) ScraperQ monitors 6 health signals per selector: match rate, element count, content pattern, positional stability, attribute integrity, and uniqueness. When a website changes, CSRE runs a 4-stage repair: stable attribute fallbacks → semantic re-matching → 24-hour staged observation → AI-powered reconstruction as a last resort. You approve before the next run. This makes ScraperQ the only self-maintaining web scraper chrome extension on the market. 🤖 AI-Powered Data Extraction An LLM pipeline analyzes page structure to produce stable selectors and human-readable field names. Columns are named "product_name" and "price" — not "div:nth-child(3) > a". AI is applied precisely where it adds value, keeping credit costs low. ⚡ API-Aware Extraction Many websites load their data through backend APIs. ScraperQ detects API calls during authorized browsing sessions and can use them directly — faster and more reliable than HTML parsing on API-driven sites. Auth tokens stay local and are never uploaded. 📊 Site Intelligence Analysis Before extraction starts, ScraperQ evaluates JavaScript rendering depth, frontend framework signals, and site compatibility. It auto-configures crawl speed and rendering settings per site. Handles React, Vue, and Angular SPAs out of the box. ♾️ Infinite Scroll & Pagination Works on pages that load content while scrolling and on traditionally paginated listings. Handles next-page buttons, load-more buttons, and infinite scroll automatically. ⏸️ Pause & Resume with Checkpoints Close Chrome mid-extraction. Come back tomorrow and resume from the exact checkpoint — not from the beginning. Essential for large website scraping jobs. 🔄 Reusable Templates with Health Monitoring Build a scraping template once and run it for months. ScraperQ tracks selector health over time so your website scraper templates keep working even when sites redesign. 🔧 Data Transformation & Presets Built-in format presets clean and restructure extracted data before export. Remove duplicates, reformat dates, split or merge columns — inside the extension, no extra tools needed. 📥 Export to CSV, JSON, Excel & Google Sheets Download as CSV, JSON, or Excel. Or stream live to Google Sheets — rows appear in your sheet in real time as the extraction runs. No waiting for the job to finish. HOW SCRAPERQ COMPARES TO OTHER WEB SCRAPERS Feature ScraperQ WebScraper.io Octoparse ParseHub Auto-repair broken selectors YES NO NO NO AI-generated selectors YES NO NO NO Lives in browser (no app) YES YES NO NO Pause and resume jobs YES NO YES NO Site intelligence per site YES NO NO NO Built-in data transforms YES NO YES NO API-aware extraction YES NO NO NO DATA EXTRACTION USE CASES 🛒 E-commerce price & catalog tracking — Extract product names, prices, ratings, and descriptions from Amazon, eBay, Shopify, Etsy, Walmart, and other online stores. Monitor competitor pricing and catalog changes over time. 🏠 Real estate listing aggregation — Scrape property listings, prices, square footage, and agent details from Zillow, Redfin, and public property portals. 📇 Business directory extraction — Build structured contact datasets from Google Maps, Yelp, Yellow Pages, and public directories. 📈 Market & competitor research — Monitor competitor pricing, product catalogs, and customer reviews on public pages. 💼 Job board monitoring — Extract job listings, company details, and salary ranges from public job boards and career pages. 🔄 Any structured data on public pages — If it appears as a repeating list or table on a page you're authorized to access, ScraperQ can extract it. FREQUENTLY ASKED QUESTIONS Q: What is a web scraper? A: A web scraper is a tool that extracts structured data from web pages automatically. ScraperQ is a Chrome extension web scraper that uses AI to generate CSS and XPath selectors and auto-repairs them when websites change — no coding needed. Q: What makes ScraperQ different from other web scrapers? A: ScraperQ is the only web scraper chrome extension with automatic selector repair. When a website redesigns and your selectors break, ScraperQ detects the change and proposes a fix. No other data scraper or website scraper on the Chrome Web Store has this feature. Q: Does it work on JavaScript-heavy websites? A: Yes. Site Intelligence analysis runs before each extraction, evaluating JavaScript rendering depth and detecting frontend frameworks. ScraperQ auto-configures settings for SPAs and dynamic websites. Q: How much does ScraperQ cost? A: Free credits are available during beta — no credit card required. Approximately 10 credits for AI template generation (one-time per template), 50 AI credits are included at signup with 1 month expiry date. Q: What export formats does ScraperQ support? A: CSV, JSON, Excel (.xlsx), and live streaming to Google Sheets. Data appears in your Google Sheet in real time as the extraction runs. Q: How does auto-repair work? A: CSRE monitors 6 health signals per selector. When a website redesigns, CSRE runs a hierarchical repair: stable attribute fallbacks first, semantic re-matching next and AI reconstruction as a last resort. You review and approve any proposed fix before it is applied. PRIVACY Authentication credentials are used locally in your browser — never uploaded to ScraperQ servers. Extracted data is processed locally and transferred directly to your chosen destination. We do not store, read, or retain the content you extract. No analytics. No telemetry. Extract reliably. Build your data scraper templates once.

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