Scrape Any E-Commerce Site. Feed Your AI.

Olostep's scraping API lets you extract structured product data — titles, prices, ratings, reviews, images, inventory status — from any e-commerce site via a single API call. It handles JavaScript rendering, anti-bot bypass, and structured JSON output automatically, so you don't need to maintain your own scrapers.

DIY scrapers break constantly as platforms update their layouts and bot-detection systems. Olostep abstracts all of that — residential IPs, JS rendering, CAPTCHA handling, and format normalization — into one API. Instead of spending engineering time maintaining platform-specific scrapers, you call one endpoint and get clean JSON back.

Olostep works on any publicly accessible e-commerce site, including Amazon, Shopify stores, eBay, Walmart, Etsy, AliExpress, WooCommerce sites, and thousands of independent retailers. If the product page loads in a browser, Olostep can extract it.

Yes. Olostep routes requests through residential IP addresses that mimic real user traffic, combined with full JavaScript rendering. This bypasses the bot-detection mechanisms that block datacenter IP requests, making Amazon product pages reliably accessible.

Yes. Olostep renders pages fully in a real browser environment before extracting data, which means lazy-loaded content, JavaScript-driven price updates, and dynamically injected product details are all captured correctly.

Yes. Olostep can extract review text, star ratings, reviewer metadata, and timestamps from review pages. For platforms that paginate reviews, batch processing lets you crawl multiple review pages in parallel across thousands of products simultaneously.

Olostep returns all image URLs found on the product page, including gallery images and zoom-resolution variants. You can download the images directly or use the URLs in your data pipeline.

Common fields include: product title, price (current, original, discount), currency, rating, review count, availability/stock status, seller name, brand, categories, description, bullet points, product images, ASIN or SKU, and shipping details. You can define a custom JSON schema to extract exactly the fields your pipeline needs.

Olostep's batch endpoint accepts lists of up to 100,000 URLs in a single request. Results are returned asynchronously as each page completes. This is the recommended approach for catalog enrichment workflows where you need to process tens of thousands of product pages.

For a standard product page with JavaScript rendering, response time is typically 3–8 seconds. Pages with heavy JavaScript frameworks or multiple network requests may take longer. Batch jobs process URLs in parallel, so throughput scales with concurrency limits.

Yes. Every account starts with 500 free credits — no credit card required. This is enough to test extraction against real product pages on Amazon, Shopify, or any other platform before committing to a paid plan.

Pricing is usage-based, billed per successful request. The Standard plan ($99/month) includes 200,000 requests — enough for large catalog operations. For teams processing millions of SKUs monthly, the Scale plan and custom Enterprise pricing offer significantly lower per-request costs. Contact our sales team for volume pricing.