JD Data Scraper - Product, Sales

JD Data Scraper - easy data extraction tools of product, price, sales rank, review

Users181

Rating--

Reviews0

Manifest versionV3

7-day growth-12

7-day growth rate-6.22%

Preview

JD Data Scraper - Product, Sales Media preview

2 assets

Trend

30-day user trend

Review user movement over the last 30 days.

User Growth Over Time

Rating trend

30-day rating change

Track rating movement over time to see whether quality signals remain stable.

Not enough rating snapshots yet. More data will appear as new snapshots are collected.

Growth overview

Daily, weekly, and monthly growth

Compare 1-day, 7-day, and 30-day net growth and growth rate.

1-day growthDeclining

-2-1.09%

7-day growthDeclining

-12-6.22%

30-day growthDeclining

-10-5.24%

Technical snapshot

Version, languages, and crawl freshness

Review publication date, version, supported languages, and crawl timestamps.

Version4.4

ManifestV3

Size72.34KiB

Languages1English

Published--

Store updated--

Last crawled--

Overview

Product summary

Review the store description, core capabilities, and common use cases.

JD data scraper - Simple product, price, sales rank, and feedback data extraction tools

This chrome extension allows you to extract the webpage content of JD.com (Indonesia) into an editable CSV file. You can now use this extension to extract the product list of your competitors, brand, products in any product specification, customer feedback of a specific product.

The difference between our extension vs other scrapers is we not only extract the Price.

- We extract practically every page data, including price, shipping, product, sales rank, product description, product feature, customer review, and items purchased by customers who bought this item.

- Bulk URL feature allows you to add up to 100 product URLs, single product URLs, category URLs, or both, all of which must be separated by commas and exported data to an excel file.

- When you click the Start Extraction button, the scraper automatically collects product data. Scrap product data such as Product Title, Price, Brand.

Reviews