JD.com 京东 Product Scraper - Full Item Details | No Login avatar

JD.com 京东 Product Scraper - Full Item Details | No Login

Pricing

Pay per event

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JD.com 京东 Product Scraper - Full Item Details | No Login

JD.com 京东 Product Scraper - Full Item Details | No Login

Get the full record of JD.com (京东) items from links or IDs: 38 fields including title, brand, model, price, stock, weight and size, shop, delivery and return policy, images and services. No login or cookies.

Pricing

Pay per event

Rating

0.0

(0)

Developer

Silkline

Silkline

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

5 hours ago

Last modified

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JD.com Product Scraper returns the full record of JD.com (京东) items you list, 38 fields per item: title, brand, model, colour and size, price, stock, weight and dimensions, shop, delivery promise, return policy, images and services. 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): brand, brandId, categoryIds, color, deliveryPromise, hasVideo, heightMm, imageCount, imageUrl, images, isSelfOperated, isSevenDayReturn, lengthMm, listedAt, maxCartQuantity, mobileUrl, model, outputVatPercent, productId, returnPolicy, seriesId, serviceTags, services, shippingFeeText, shopId, shopName, shopUrl, shortTitle, size, spuId, stockQuantity, stockStateCode, title, type, upc, url, vendorId, weightKg, widthMm.

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

FieldTypeWhat it does
itemsarrayJD.com item links (https://item.jd.com/100393340928.html) or numeric item IDs. Each item returns one full record.
maxResultsintegerMaximum number of records (products, reviews or items) to return in total for this run. You are charged per record returned.

Output example

{
"type": "productDetail",
"productId": "100393340928",
"url": "https://item.jd.com/100393340928.html",
"mobileUrl": "https://item.m.jd.com/product/100393340928.html",
"spuId": "100302476405",
"title": "摩米士(MOMAX)【轻薄裸感】适用苹果18promax手机壳iphone18PROMax/17PROMax保护套磁吸壳超薄Magsafe充电简约",
"shortTitle": "iphone18ProMax/17ProMax超薄壳",
"brand": "摩米士(MOMAX)",
"brandId": "13056",
"model": "MTAP26XLW",
"upc": "6978636315239",
"seriesId": "1332811",
"categoryIds": [
"9987",
"830",
"866"
],
"color": "云皑白色",
"size": "iPhone18 ProMax丨兼容17 ProMax",
"imageUrl": "https://img30.360buyimg.com/sku/jfs/t1/542130/7/10419/139223/6ad1e03fF313fb647/008332032048a7dd.jpg",
"images": [
"https://img30.360buyimg.com/sku/jfs/t1/542130/7/10419/139223/6ad1e03fF313fb647/008332032048a7dd.jpg",
"https://img30.360buyimg.com/sku/jfs/t1/513620/10/6231/114477/6a954147F09732348/0083320320e73634.jpg",
"https://img30.360buyimg.com/sku/jfs/t1/509348/23/10562/93365/6a954146Fdaa0070e/0083320320907e6e.jpg"
],
"imageCount": 3,
"hasVideo": true,
"stockStateCode": 33,
"stockQuantity": 115,
"maxCartQuantity": 999,
"weightKg": 0.096,
"lengthMm": 204,
"widthMm": 111,
"heightMm": 22,
"shopId": "1000003262",
"shopName": "摩米士京东自营旗舰店",
"shopUrl": "https://mall.jd.com/index-1000003262.html",
"vendorId": "1000003262",
"isSelfOperated": true,
"deliveryPromise": "23:10前付款,预计明天(11月04日)送达",
"shippingFeeText": "所选地址自营订单满59元免基础运费(20kg内),超出重量加收1元/kg续重运费。",
"returnPolicy": "7天无理由退货",
"isSevenDayReturn": true,
"services": [
"7天价保",
"一年质保",
"复购补贴"
],
"serviceTags": [
"明日达",
"211限时达",
"极速达",
"7天无理由退货",
"预约送货",
"部分收货",
"送货上门",
"59元免基础运费",
"京东物流",
"7天价保"
],
"outputVatPercent": 13,
"listedAt": "2026-09-01T02:49:56Z"
}

How much does it cost?

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

EventWhat it coversBronzeSilverGold, Platinum, Diamond
Run startonce per run, and once more for each further item$0.036$0.036$0.036
DetailEach full item record returned$0.05$0.05$0.05

Example: 100 items on Bronze cost about $5.04, on Gold about $5.04.

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

  • Get complete specs of products you found with JD.com Search Scraper.
  • Monitor price and stock of specific items over time.
  • Compare competing products field by field.

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-product-scraper").call(run_input={"items": ["100393340928"], "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-product-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.