JD.com 京东 Reviews Scraper - Buyer Reviews | No Login

JD.com Reviews Scraper collects the buyer reviews of JD.com (京东) items: review text, star rating, date, the variant bought and review images, with the item's good, neutral and poor review counts. Paste item links or numeric item IDs.

It is the single-purpose version of JD.com 京东 Scraper, which covers many more modes of the same platform. Same data, same prices, a simpler form.

What you get

Every record is flat JSON with these fields (empty when the platform does not show the value): followUpAt, followUpImageUrls, followUpText, generalCountText, goodCountText, goodRate, imageCount, imageUrls, likeCount, poorCountText, productId, purchaseCount, reviewId, reviewTotalText, reviewedAt, reviewerAvatar, reviewerIsPlus, reviewerNickname, score, shopReply, skuColor, skuSize, text, type, url.

How to use it

1. Click Try for free (or Start) and fill in the form.
2. Set maxResults to cap how many records, and therefore how much, a run returns.
3. Run it and download the dataset as JSON, CSV or Excel, or read it through the API.

Input

Field	Type	What it does
items	array	JD.com item links (https://item.jd.com/100008348542.html) or numeric item IDs. Each item returns its buyer reviews.
maxResults	integer	Maximum number of records (products, reviews or items) to return in total for this run. You are charged per record returned.

Output example

{
  "type": "review",
  "reviewId": "20183617010",
  "productId": "100008348542",
  "url": "https://item.jd.com/100008348542.html",
  "text": "此用户未及时填写评价内容",
  "score": 1,
  "reviewedAt": "2023-11-26T03:55:26Z",
  "skuColor": "黑色",
  "skuSize": "128GB",
  "purchaseCount": 0,
  "imageCount": 0,
  "imageUrls": [],
  "likeCount": 6,
  "followUpText": "垃圾，翻新机已经去手机店检查了",
  "followUpAt": "2023-11-26T03:55:26Z",
  "followUpImageUrls": [],
  "shopReply": "尊敬的客户~您好！给您带来的困扰非常抱歉。我们店铺出售的商品全部都是全新未拆封未激活的官方渠道正品的，保证是全新的呢。使用当中有任何困扰，还请您联系我们，专业的店铺客服定当为您答疑解惑。感谢您对京东的支持，祝您生活愉快！",
  "reviewerNickname": "3***k",
  "reviewerAvatar": "https://storage.360buyimg.com/default.image/6a645f6465665f696d675f393836323131373632333134353935323236_sma.jpg",
  "reviewerIsPlus": false,
  "goodRate": 96,
  "goodCountText": "20万+",
  "generalCountText": "5000+",
  "poorCountText": "1万+",
  "reviewTotalText": "200万+"
}

How much does it cost?

Pay per event: you pay only for records delivered to your dataset. Prices depend on your Apify plan.

Event	What it covers	Bronze	Silver	Gold, Platinum, Diamond
Run start	once per run, and once more for each further item	$0.036	$0.036	$0.036
review	Each buyer review returned	$0.005	$0.005	$0.005

Example: 100 reviews on Bronze cost about $0.54, on Gold about $0.54.

On the free Apify plan every run returns a stored sample (a real result of the prefilled input), so you can check the output format before paying. Your own inputs need a paid plan.

Use cases

• Read what Chinese buyers like and dislike about a product or a competitor's product.
• Run sentiment analysis on reviews before sourcing or launching.
• Monitor new reviews of your own listings.

Why use this scraper

• No account, no cookies, no proxies. You give keywords, links or IDs; the Actor does the rest.
• You pay for data you get. A failed or empty run says why in its status message and whether anything was charged.
• Unreadable entries. If one entry of an ID or link list cannot be read (a typo, a stray cell, a link to the wrong kind of page), it is skipped and named in the log, and the status message says how many were skipped; the other entries still run and nothing is charged for a skipped one. Only a list with no readable entry stops the run with an input error.
• Try before paying. Free Apify accounts get 2 free trial runs with their own input, up to 10 results each, nothing charged.
• Flat JSON records ready for spreadsheets, databases and AI pipelines.

Integrations and API

Start runs from the Apify API, schedule them in the Apify Console, and send results to webhooks, Google Sheets, n8n, Make or Zapier. Python example with apify-client:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("clover_folktale/jd-reviews-scraper").call(run_input={"items": ["100008348542"], "maxResults": 20})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Use it from AI agents (MCP, n8n, Make)

This Actor works as a tool for AI agents through the Apify MCP server. Add it to Claude, Cursor or any MCP client with https://mcp.apify.com?tools=clover_folktale/jd-reviews-scraper.

Support

Found a bug or a missing field? Open an issue on the Issues tab. We reply within 24 hours, and a mode that stops working is fixed within 24 hours. Changes are listed on the Changelog tab.

Related tools by Silkline

• JD.com 京东 Scraper: every mode of the platform in one Actor.
• JD.com 京东 Search Scraper
• JD.com 京东 Product Scraper