AI-Powered Web Scraping

JD.COM scraper

Extract product names, prices, ratings, and more from JD.com in 2 clicks — then export to Excel, Google Sheets, or Notion. No coding needed.

Need more ways to scrape at scale?

A quick playground: Try it yourself.

Extract JD.com product data effortlessly

Clean Jd data, ready when you export

Getting raw data is only half the battle. Thunderbit automatically structures and formats your JD.com data as it extracts it. Export product names, prices, SKUs, ratings, review counts, and brands already cleaned and ready for analysis — no messy data wrangling required.

Container (1).png

Scrape Jd subpages for complete details

JD.com listing pages often leave out the full story. Thunderbit automatically visits each product subpage to pull complete details — specifications, descriptions, and features — without you clicking through each one manually. All subpage data is appended as new columns, giving you a complete product record in a single export.

Container-2 (1).png

Jd data extraction at scale

Scraping JD.com product by product is slow and unsustainable. With Thunderbit, you can extract data from hundreds of JD.com pages at once — just supply a list of URLs and Thunderbit handles the rest, pulling product names, prices, and every key data point automatically, no matter the volume.

Container-1 (2).png

Struggling to scrape JD.com effectively?

See how Thunderbit simplifies data extraction compared to traditional methods.

Traditional scrapers

The old way of doing things
JD.com's layout shifts break selectors constantly
Manually configuring selectors is time-consuming
Pagination requires complex setup and ongoing maintenance
Inconsistent formatting demands manual cleaning
Subpage details require extra clicks to access
The AI Advantage

Thunderbit

The smarter approach
Semantic AI adapts to JD.com's layout changes automatically
2-click scraping — no selectors needed
Auto-pagination handles multiple pages seamlessly
Automatic data cleaning structures output instantly
One-click subpage scraping for complete product details

Don't just take our word for it

See what our users have to say about Thunderbit.

Frequently asked questions

Related use cases

Explore more use cases of Thunderbit's web scraper.

Sur la table Scraper

Sur la table Scraper

The Thunderbit Sur La Table Scraper lets you extract data from Sur La Table’s products, search results, cooking classes, and store locations. Use AI-powered field suggestions to quickly gather product details, class schedules, and store information for analysis or business insights.

Learn more ->
Superdelivery Scraper

Superdelivery Scraper

The Thunderbit Superdelivery Scraper enables you to extract product data from Superdelivery vendor SKU lists and category pages. Use AI-powered field suggestions to quickly gather product names, prices, images, brands, and vendor details for inventory management, price comparison, or market research.

Learn more ->
Sharaf DG Scraper

Sharaf DG Scraper

The Thunderbit Sharaf DG Scraper enables you to extract structured data from Sharaf DG's product listings and SKU pages. Use AI-powered field suggestions to quickly gather product names, prices, descriptions, images, ratings, and specifications for analysis or research. Ideal for e-commerce professionals, marketers, and researchers seeking detailed Sharaf DG data.

Learn more ->
ÇiçekSepeti Scraper

ÇiçekSepeti Scraper

The Thunderbit ÇiçekSepeti Scraper lets you extract product data from ÇiçekSepeti, including listings and SKU details. Use AI-powered field suggestions to quickly gather product names, prices, images, discounts, and codes for analysis or inventory management. Ideal for e-commerce professionals, marketers, and researchers.

Learn more ->
Vatan Bilgisayar Scraper

Vatan Bilgisayar Scraper

The Thunderbit Vatan Bilgisayar Scraper lets you extract data from Vatan Bilgisayar's product listings and SKU pages. Use AI-powered field suggestions to quickly gather product names, prices, discounts, images, and product codes for analysis or research. Ideal for e-commerce professionals, marketers, and researchers seeking structured Vatan Bilgisayar data.

Learn more ->
PTTAVM Scraper

PTTAVM Scraper

The Thunderbit PTTAVM Scraper enables you to extract structured data from PTTAVM product listings and SKU pages. Gather product names, prices, discounts, images, and detailed descriptions quickly using AI-powered field suggestions. Ideal for e-commerce professionals, marketers, and researchers seeking accurate PTTAVM data.

Learn more ->
View All Use Cases

Ready to supercharge your data extraction?

Join 200,000+ professionals already using Thunderbit to automate their web scraping workflows.

Free trial provides unlimited credits for 8 webpages.