JD.com Product Scraper
Scrape JD.com (Jingdong) Product Listings to a Spreadsheet
Extract product titles, prices, review counts, shop names, and ratings from any JD.com (京东) search or category page. No code, no API — just open the page and export.
What data gets extracted
DataLens automatically detects and extracts these fields from JD.com — no selectors, no code, no maintenance.
How it works
- 1
Open a JD.com search results or category page in Chrome.
- 2
Launch DataLens and detect the product card structure automatically.
- 3
Export the product rows to CSV or Excel.
Frequently asked questions
These are the most common questions teams ask before using DataLens for this workflow.
What JD.com data can DataLens extract?
DataLens extracts product titles, current prices, review counts, shop names, and star ratings from JD.com search and category pages.
Does it work on JD.com product listing pages?
Yes. DataLens captures all visible product cards on JD.com search and category pages.
Can I scrape JD.com product reviews?
Yes. Open a JD.com product review page and DataLens will extract reviewer names, ratings, verified purchase status, and review text.
Can I export to Excel?
Yes. Export JD.com data to CSV, Excel (XLSX), or JSON for pricing analysis or market research.
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