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ScrapeUp
Web scraping API. One call. Clean data. Any site.
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ScrapeUp - 2026 Pricing, Features, Reviews & Alternatives


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Last updated: September 2026
ScrapeUp overview
What is ScrapeUp?
ScrapeUp is a REST-based web scraping and data extraction API that handles the full complexity of modern web data collection — JavaScript rendering, residential proxy rotation, CAPTCHA bypass, automatic retries, and anti-bot evasion — through a single API endpoint.The core architecture is simple: send a GET request with your target URL and API key, and ScrapeUp returns the fully rendered HTML or structured output from that page. No browser farm to manage, no proxy lists to maintain, no CAPTCHA-solving services to integrate. One endpoint, one call, clean data back.Technical Capabilities:JavaScript Rendering Engine — ScrapeUp executes client-side JavaScript before returning page content, which means React, Vue, Angular, and any SPA framework render completely. Toggle rendering on or off per request to optimize credit usage on static pages.Four AI Extraction Tiers — Fast mode returns raw rendered HTML with minimal processing for maximum speed. Balanced mode adds content cleaning and noise removal. Precision mode applies AI-driven element detection to extract structured data from complex layouts. Ultra mode combines all extraction layers for maximum accuracy on the most challenging pages. Select the right tier per request based on your accuracy and cost requirements.Residential Proxy Network — Every request routes through residential IPs with automatic geographic targeting. Pass a country_code parameter to route through a specific country — essential for geo-restricted content, localized pricing pages, and region-specific search results.Batch Processing API — Submit up to thousands of URLs in a single batch request for high-volume collection jobs. ScrapeUp handles concurrency, retry logic, and rate limiting internally. Results are delivered asynchronously with webhook callbacks or polling.Credit-Based Pricing — No subscriptions, no monthly minimums, no annual contracts. Credits are consumed per request, with multipliers based on extraction tier and proxy type. Free tier includes 1,000 credits per month.Integration and Developer Experience:ScrapeUp exposes a standard REST API compatible with any HTTP client in any language. Documentation includes production-ready code samples for Python (requests, aiohttp), JavaScript (axios, fetch), cURL, and Go. Authentication is API-key-based with keys manageable via the dashboard.Common integration patterns include direct API calls from backend services, scheduled extraction jobs via cron or cloud schedulers (AWS Lambda, GCP Cloud Functions, GitHub Actions), pipeline integration with data warehouses through batch export, and webhook-driven workflows that trigger downstream processing when extraction completes.Technical Specifications:Response format: Raw HTML, cleaned text, or structured JSON depending on extraction tier. Timeout: Configurable up to 60 seconds per request, with automatic retry on timeout. Concurrency: No hard rate limit on the API — throughput scales with your plan tier. Uptime: 99.9% API availability SLA on paid plans. Latency: Median response time under 4 seconds for non-rendered requests, under 10 seconds with JavaScript rendering enabled.Production Use Cases:Competitor price and inventory monitoring with scheduled extraction and change detection. Lead generation pipelines that enrich CRM records with public web data. Job board aggregation across Indeed, LinkedIn, Glassdoor, and niche boards. Government procurement monitoring on SAM.gov, USASpending, and state portals. SERP tracking and SEO auditing across Google, Bing, and regional search engines. Real estate listing aggregation and price tracking. Academic and market research requiring structured datasets from public sources.ScrapeUp replaces the need to build and maintain internal scraping infrastructure — proxy management, browser automation, CAPTCHA integration, and failure recovery — saving engineering teams hundreds of hours annually while improving data reliability and coverage.
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