Turn Any E-Commerce Site Into a Clean Dataset
Extract product listings, prices, SKUs, stock status, reviews, and more by pasting a URL and describing the data you need.
What you can scrape from e-commerce sites
Use Cocoparse to turn product pages, category pages, and collections into structured data fast.
Scrape product catalogs
Extract product name, price, category, image URL, product URL, SKU, and availability from category and collection pages in one go.
Monitor competitor pricing
Track pricing changes across competitor stores without building scraping workflows or updating broken selectors every week.
Collect stock and availability data
Pull in-stock, out-of-stock, variant availability, and low-inventory signals so you can monitor supply across multiple stores.
Export product details from PDPs
Extract long descriptions, specifications, brand, dimensions, materials, and other product attributes from individual product pages.
Gather reviews and ratings
Collect product ratings, review counts, review text, and reviewer metadata to analyze customer sentiment at scale.
Build lead lists from niche stores
Scrape company name, website, contact pages, and product focus from niche e-commerce sites to build targeted prospect lists for outreach.
Frequently asked questions
What e-commerce data can Cocoparse extract? +
You can extract product names, prices, SKUs, descriptions, images, ratings, reviews, stock status, categories, product URLs, and other structured fields you describe in plain English.
Do I need to set up selectors or scraping workflows? +
No. You paste the URL, describe the data you want, and Cocoparse figures out how to extract it from the page.
Can it scrape multiple pages like collections or pagination? +
Yes. Cocoparse can follow relevant links such as pagination, collection pages, and product subpages to return a structured dataset across multiple pages.
Is this useful for price monitoring? +
Yes. It works well for pulling competitor prices, discount data, and stock signals from online stores without maintaining fragile scraping rules.
What do I get at the end? +
You get clean structured data in a table format that you can review and export as CSV.