# JD.com Reviews Scraper 京东评价 — Ratings, Text & Photos (`memo23/jd-com-reviews-scraper`) Actor

JD.com (京东 / Jingdong) reviews scraper with no login: paste SKU ids, product links or keywords and get up to 10 buyer reviews per product with star rating, text, photos, variant bought, date and PLUS status. Clean rows, one per review, billed per review.

- **URL**: https://apify.com/memo23/jd-com-reviews-scraper.md
- **Developed by:** [Muhamed Didovic](https://apify.com/memo23) (community)
- **Categories:** E-commerce
- **Security:** Limited permissions
- **Stats:** 6 total users, 5 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.50 / 1,000 reviews

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## JD.com Reviews Scraper 京东评价 — Ratings, Text & Photos

Get buyer reviews of JD.com (京东 / Jingdong) products as clean rows: star rating, review text, follow-up review, full-size photos, the variant the buyer chose, the date, and the reviewer's nickname and PLUS status. Paste SKU ids, product links or keywords. No JD account, no cookies, no proxy setup.

### 中文说明

**京东商品评价采集，无需登录、无需 Cookie、无需设置代理。** 每条评价一行：

- 输入：SKU ID、商品链接（item.jd.com、item.m.jd.com、wqitem.jd.com、npcitem.jd.hk）、分享文本或关键词（如 `华为手机`、`茅台`）
- 输出：评分、评价内容、追评、晒单原图、购买的颜色和规格、评价时间（北京时间）、有用数、用户昵称（京东已打码）、头像、是否 PLUS 会员、购买次数
- 每个商品最多 10 条评价（`maxReviewsPerProduct`）
- 关键词：每个关键词取京东前 5 个商品，再读取这些商品的评价
- 按评价条数收费，关键词搜索不单独收费

主要输出字段：`reviewId`、`skuId`、`rating`、`text`、`appendedText`、`imageUrls`、`color`、`size`、`postedAt`、`authorName`、`authorIsPlus`、`authorPurchaseCount`。

### Why use this JD.com reviews scraper?

- **Pay per review.** You are billed for the rows you receive. A product with no reviews, a wrong id and a keyword search add no review charge.
- **Full-size photos.** `imageUrls` holds the original buyer photos, not the 300 px thumbnails.
- **The variant the buyer chose.** `color` and `size` say which version each review is about.
- **Dates you can sort on.** `postedAt` is ISO 8601 with the China time offset (`2026-11-04T18:31:35+08:00`).
- **Reviewer signals.** PLUS membership and how many times the reviewer bought the product.
- **Links or keywords.** Mix SKU ids, PC, mobile, WeChat and JD Global links, share text and search terms in one run.
- **No repeats.** A review that comes up under two inputs is returned and billed once.

### Overview

The actor takes JD SKU ids, product links or keywords. For each product it reads the reviews JD shows publicly, up to 10 per product, and writes one dataset row per review. Keywords first bring JD's top 5 products, and each product is then read the same way.

### Supported inputs

| Input | Example |
|---|---|
| SKU id | `100012043978` |
| PC product link | `https://item.jd.com/100012043978.html` |
| Mobile product link | `https://item.m.jd.com/product/100012043978.html?from=share` |
| WeChat product link | `https://wqitem.jd.com/item/view?sku=100012043978` |
| JD Global (京东国际) link | `https://npcitem.jd.hk/100009475513.html` |
| Share text with a link inside | `【京东】茅台飞天 https://item.jd.com/100012043978.html` |
| Keyword | `华为手机`, `蓝牙耳机`, `茅台` |

Short links (`3.cn/…`, `u.jd.com/…`) only resolve in a browser. Open them and paste the `item.jd.com` link.

### Use cases

- **Sentiment snapshots.** Feed recent review text and ratings into your own analysis, product by product.
- **Competitor research.** See what buyers praise and complain about on rival products.
- **Scheduled checks.** Run on a schedule over your SKU list and keep each new `reviewId`.
- **Visual research.** Collect the photos buyers post of a product in real use.
- **Variant feedback.** Compare what buyers say about one color or size against another.

### How it works

1. You enter SKU ids, product links or keywords.
2. Keywords are searched first, and each brings JD's top 5 products.
3. For each product the actor reads up to **Maximum reviews per product** reviews.
4. Each review becomes one row. Repeats are dropped before billing.
5. The run stops at **Maximum reviews in total** or at your spending limit.

### Input configuration

| Field | Type | Default | What it does |
|---|---|---|---|
| `products` | list | — | SKU ids or product links, one per line |
| `keywords` | list | — | Search terms. Each brings JD's top 5 products |
| `maxReviewsPerProduct` | integer | `10` | Reviews per product, 1-10 |
| `maxItems` | integer | `1000` | Cap on review rows for the run (free plan: 100) |

Example input:

```json
{
    "products": ["100012043978", "https://item.jd.com/10233787625364.html"],
    "keywords": ["茅台"],
    "maxReviewsPerProduct": 10,
    "maxItems": 100
}
```

### Output overview

One row per review. `skuId` and `productUrl` say which product it belongs to. `sourceInput` says which id, link or keyword produced the row, and keyword rows also carry `searchKeyword`.

### Output samples

Real rows. A review with photos:

```json
{
    "reviewId": "106243840216902020",
    "skuId": "100012043978",
    "productUrl": "https://item.jd.com/100012043978.html",
    "text": "东西已经收到，还是很效率的，希望能有下次更好的物流体验感，更有更加直接的物流体验包运送包服务包更加的体验优惠券等等，希望能有更好的服务感京东",
    "appendedText": null,
    "rating": 5,
    "ratingScale": 5,
    "postedAt": "2026-11-04T18:31:35+08:00",
    "color": "1699(需预约)",
    "size": "单瓶装",
    "helpfulCount": 0,
    "imageUrls": [
        "https://img30.360buyimg.com/shaidan/jfs/t1/557527/37/7132/330874/6aeb0986F5e554482/00a9438780df51ad.jpg",
        "https://img30.360buyimg.com/shaidan/jfs/t1/556739/1/9252/558856/6aeb0986Fedb6e803/00a943878051a6a3.jpg"
    ],
    "authorName": "j***℡",
    "authorAvatarUrl": "https://storage.360buyimg.com/default.image/6a645f6465665f696d675f393836323331373632333134353936333334_sma.jpg",
    "authorIsPlus": false,
    "authorPurchaseCount": 9,
    "sourceInput": "100012043978",
    "searchKeyword": null,
    "scrapedAt": "2026-11-05T08:25:38.462Z"
}
```

A one-star review without photos:

```json
{
    "reviewId": "106513880226382277",
    "skuId": "10233787625364",
    "productUrl": "https://item.jd.com/10233787625364.html",
    "text": "手机用了半个月不到特别卡和死机，各种PAP打开都很慢，P开始以为是网络问题，到了20天去反馈，客服找各种理由就是不承认手机有问题，要么叫你去检测手机，要不叫卸载APP重新下载，手机有问题不承认还不退换，真的太差劲了，各位宝宝们买手机真的要找正规渠道！",
    "appendedText": null,
    "rating": 1,
    "ratingScale": 5,
    "postedAt": "2026-10-30T21:52:12+08:00",
    "color": "曜金黑【512GB】",
    "size": null,
    "helpfulCount": 0,
    "imageUrls": [],
    "authorName": "j***f",
    "authorAvatarUrl": "https://storage.360buyimg.com/default.image/6a645f6465665f696d675f393836313831373632333134353936363836_sma.jpg",
    "authorIsPlus": false,
    "authorPurchaseCount": 1,
    "sourceInput": "10233787625364",
    "searchKeyword": null,
    "scrapedAt": "2026-11-05T08:25:41.932Z"
}
```

### Key output fields

| Field | Meaning |
|---|---|
| `reviewId` | JD's id for the review. Use it to spot new reviews between runs |
| `skuId` | JD SKU id the review was read from |
| `text` | The review text as the buyer wrote it |
| `appendedText` | The buyer's follow-up review (追评), `null` when there is none |
| `rating` / `ratingScale` | Stars given, and the top of the scale (5) |
| `postedAt` | Review date in China time (+08:00) |
| `color` / `size` | The variant bought, as JD writes it. `null` when the product has no such option |
| `helpfulCount` | Votes the review got as helpful |
| `imageUrls` | Full-size buyer photos. Empty when the review has none |
| `authorName` | Nickname as JD shows it, usually masked (`j***f`) |
| `authorIsPlus` | The reviewer is a JD PLUS member |
| `authorPurchaseCount` | How many times the reviewer bought this product, as JD shows it |
| `sourceInput` / `searchKeyword` | The id, link or keyword that produced the row |

### FAQ

**Can I get more than 10 reviews per product?**
No, 10 is the most this actor returns per product, and it has no paging or star filter. A later run returns the reviews JD shows at that time, so a schedule that keeps new `reviewId` values builds up a history.

**Which reviews do I get?**
The ones JD shows first for the product. In our tests these were mostly recent, but JD decides the order, so sort on `postedAt` if the order matters to you.

**Why did a product return nothing?**
JD lists no public reviews for it, or the id is wrong or the listing was removed. The run log names ids it could not read. They add no review charge, and the rest of the run carries on.

**Why did the run stop early with a warning about empty results?**
After 50 products or keywords with no results, a run stops when those outnumber the reviews it delivered. Check the list and run it again.

**Is `authorName` the buyer's real name?**
It is the nickname JD displays, usually masked. Handle it under the data-protection rules that apply to you.

**English keywords?**
They work, but JD titles are in Chinese, so Chinese keywords match better.

**Do you also return prices and variants?**
That is our [JD.com Price Scraper](https://apify.com/memo23/jd-com-price-scraper).

### Support

Found a problem or need a field? Open an issue on the actor's Issues tab and include the run id.

### Additional services

Need a custom JD dataset, a scheduled review feed, or another Chinese marketplace? Reach out through the Issues tab.

### Explore more scrapers

- [JD.com Price Scraper](https://apify.com/memo23/jd-com-price-scraper)
- [1688 Wholesale Scraper](https://apify.com/memo23/1688-wholesale-scraper)
- [Alibaba Scraper](https://apify.com/memo23/alibaba-scraper)
- [AliExpress Scraper](https://apify.com/memo23/aliexpress-scraper)
- [Temu Product Scraper](https://apify.com/memo23/temu-scraper)

### 🤖 For AI agents & LLM apps

Call this actor through the Apify API or the Apify MCP server. Minimal input: `{"products": ["<sku id or item.jd.com link>"]}`, or `{"keywords": ["蓝牙耳机"], "maxItems": 50}` to start from a search term. Each output row is one review with a numeric `rating`, ISO `postedAt` and the original Chinese `text`, so it can go straight into summarizing or sentiment steps. Each product returns at most 10 reviews.

### ⚠️ Disclaimer

This actor is not affiliated with, endorsed by, or connected to JD.com, Inc. or any of its subsidiaries. It collects publicly visible review information, which can include reviewer nicknames and avatars. You are responsible for using the data in line with JD.com's terms, applicable laws, and data-protection rules in your jurisdiction.

### SEO Keywords

JD.com reviews scraper, JD reviews, Jingdong reviews scraper, 京东评价, 京东评论, 京东评价采集, 京东评论爬虫, 京东晒单, JD.com review API alternative, JD product reviews, JD customer reviews, JD ratings, JD review photos, JD sentiment analysis, China e-commerce reviews, Chinese marketplace reviews, 京东买家评价, 京东商品评价, 京东追评

# Actor input Schema

## `products` (type: `array`):

One per line: a numeric SKU id (`100012043978`), a product link (`https://item.jd.com/100012043978.html`, `https://item.m.jd.com/product/100012043978.html`, `wqitem.jd.com` links) or share text that contains one. Short links (`3.cn`, `u.jd.com`) only open in a browser: open them and paste the item.jd.com link.

## `keywords` (type: `array`):

Optional. Chinese works best (`华为手机`, `茅台`). Each keyword brings JD's top 5 products, and each of those returns its reviews like the ids above. Keyword searches themselves are free; you pay per review.

## `maxReviewsPerProduct` (type: `integer`):

How many reviews to return for each product, 1-10. Default and maximum 10.

## `maxItems` (type: `integer`):

Cap on review rows for the whole run. Default 1000. Free-plan runs are capped at 100.

## Actor input object example

```json
{
  "products": [
    "100012043978",
    "https://item.jd.com/10233787625364.html"
  ],
  "maxReviewsPerProduct": 10,
  "maxItems": 1000
}
```

# Actor output Schema

## `results` (type: `string`):

One row per review: rating, text, follow-up review, photos, variant bought, date, reviewer nickname and PLUS status, SKU id, product link and the input that found it.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "products": [
        "100012043978",
        "https://item.jd.com/10233787625364.html"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("memo23/jd-com-reviews-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "products": [
        "100012043978",
        "https://item.jd.com/10233787625364.html",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("memo23/jd-com-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "products": [
    "100012043978",
    "https://item.jd.com/10233787625364.html"
  ]
}' |
apify call memo23/jd-com-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,memo23/jd-com-reviews-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/mzW6OKuXmu6gOaehS/builds/Kpjuw4Vt3UpoT3r9s/openapi.json