JD Products Scraper (京东) | Prices, Barcodes and Shop Catalogs (2026)

From SilentFlow. Creators of Pinterest Scraper (#1 for “pinterest pins scraper” in Apify Store search) and Leboncoin Scraper Ppe, with 260,000+ combined lifetime runs.

Turn JD.com (京东), China's largest retailer, into a clean product table: every product of a search or of a whole JD shop, with its real price in yuan, brand, model, UPC barcode, shop, review count and good rate, all its variants, stock, delivery promise, return policy, sales rank, size, weight and photos. Type 华为手机 and press Start: 50 products, each completed from its own JD product page, in 31 to 32 seconds on our test runs. Paste a shop address instead and get that shop's catalog the same way: 50 products of 华为京东自营旗舰店 in 41 seconds. No JD account, no Chinese needed to read the columns.

Why choose this actor?

Copying JD (京东商品) prices into a spreadsheet one tab at a time? Opening a product page only to find the price masked as 6??9? Getting a price from one tool and the brand, barcode and stock from another, then matching them by hand?

• The search price and the product page in the same row. On our 50-product 华为手机 run of 5 October 2026, 68 data fields were filled on at least half the rows: price, installment offer, subsidy badges, review count and good rate from the search, plus brand, model, UPC barcode, color, size, every variant SKU, stock state and quantity, delivery promise, shipping fee, return policy, warranty, service guarantees, sales rank, weight, dimensions and photos from the product page. All 50 rows had a price and a brand, 47 a model, 41 a barcode. The most used JD actor on the Store declares 60 fields.
• Barcodes and model numbers you can match. The same run listed 777 variant SKUs across the 50 products, each with its color and size, and 41 EAN/UPC barcodes, so a JD listing can be joined to your own catalogue, an Amazon or Tmall listing, or a distributor price file without guessing from Chinese titles.
• A whole JD shop, priced and completed, in one run. Paste a shop address or give its shop id and every product the shop lists becomes a full row. On our run of 6 October 2026, 华为京东自营旗舰店 (476 products listed that day) gave 50 products in 41 seconds, 50 with their real price, 50 with brand and model from their product page, 55 data fields filled on at least half the rows. The most used JD actor's shop catalog returns the item id, title and address only.
• Keywords, addresses, SKU ids and shop ids, in the same run. Type keywords in Chinese or English, paste JD addresses (product pages, search pages with their price filter, shop pages), give SKU ids, or give shop ids. A list of 30 SKU ids with the product pages turned off came back priced in 23 seconds, 30 of 30 with their live price, review count and good rate. The most used JD actor takes one keyword or one id per run, and one operation per run.

Try your first JD product list

Paste this input in the JSON tab, or keep the prefilled form and press Start. It lists the first 50 Huawei phones JD shows for 华为手机, from the Mate 80 Pro and Pura 90 to the Enjoy 90 series, each with its price, barcode and stock. It took 31 to 32 seconds on our test runs.

{
    "keywords": ["华为手机"],
    "maxItems": 50,
    "includeDetails": true
}

Runs on the Apify Free plan: sign up, open the actor, press Start. Each product lands as one row of the dataset, which you can open as a table, download as CSV, Excel or JSON, or read from the API. Change 华为手机 for any product words (iphone 17, lego, 奶粉, 茅台, dyson), and run again.

Copy to your AI assistant

Paste this block into Claude, ChatGPT or Cursor to give it the full picture of this scraper before you ask it to write code or plan a dataset:

You have access to the JD.com products scraper on Apify: silentflow/jd-products-scraper
It reads JD.com (京东, Jingdong), China's largest retailer. One row = one product SKU.

Input (all optional, at least one of keywords / startUrls / productIds / shopIds):
- keywords (array of strings): search words, Chinese or English. Example: ["华为手机", "iphone 17", "lego"]
  A 6 to 15 digit number typed here is read as a SKU id.
- startUrls (array of {url}): item.jd.com/{id}.html, item.m.jd.com/product/{id}.html,
  npcitem.jd.hk/{id}.html, search.jd.com/Search?keyword=..., re.jd.com/search?keyword=...
  A search address keeps its own price range (ev=exprice_1000-3000).
  mall.jd.com/index-{shopId}.html, shop.m.jd.com/shop/home?shopId=..., a brand domain (huawei.jd.com):
  a shop page gives the shop's whole catalog.
- productIds (array of strings): JD SKU ids, e.g. "100320690657"
- shopIds (array of strings): JD shop ids, e.g. "1000004259": the shop's whole catalog
- maxItems (integer, default 50, max 5000): products per keyword, search address or shop
- minPrice, maxPrice (integer, CNY): price range for keywords and shops
- includeDetails (boolean, default true): open each product page for brand, model, barcode,
  variants, stock, delivery, returns, warranty, rank, size, weight and photos.
  Off: price, shop and review fields only (fast price checks of SKU ids)

Output per product (75 fields, 72 of data + 3 of context):
- identity: id (SKU, string), productId (product group), url, mobileUrl, title, shortTitle
- product: brand, brandId, model, upc, seriesId, categoryId, categoryIds[], color, size,
  variantAttributes {name: value}, variantCount, variants[{id, color, size, spec}]
- seller: shopId, shopName, shopUrl, venderId, isSelfOperated, isFlagshipStore, isJdSupermarket
- price: price (number, CNY), currency, installmentOffer, installmentMonths, isInterestFree,
  isLowestPrice, isGovernmentSubsidy, isBillionSubsidy, isFlashSale, isPresale, promoTags[],
  vatRatePercent, purchaseType
- reviews: reviewsCount, reviewsCountText ("5万+"), goodRate (percent), reviewTags[], sellingPoints[]
- availability: isOnSale, inStock, stockState (in_stock, available_to_order, in_transit,
  pre_order, out_of_stock), stockQuantity, maxOrderQuantity, purchaseLimit, deliveryPromise,
  shippingFee, isFreeShipping, returnPolicy, isSevenDayReturn, services[], serviceTags[], warranty
- badges: isNewArrival, isSuperNewLaunch, isLiveStreaming, isCrossBorder, salesRank, salesRankPosition
- size: weightKg, lengthMm, widthMm, heightMm
- media: imageUrl, images[], badgeUrl, hasVideo
- time and context: listedAt (RFC 3339 UTC), searchQuery, position, scrapedAt
Absent values are null. Text values are in Chinese, as JD shows them.
Rows of a shop or of a SKU id leave the search-only badges (installments, low-price and
subsidy badges, promoTags, reviewTags, sellingPoints) null unless JD's search lists them.
Individual review texts are not in the output: JD shows them to signed-in shoppers only.

Use apify-client for Python or JavaScript: client.actor("silentflow/jd-products-scraper").call(run_input=...)

How to scrape JD.com product prices and barcodes

Three inputs, from the simplest to a full brief. Each one runs as it is.

List the products JD shows for a keyword

{
    "keywords": ["iphone 17"],
    "maxItems": 30
}

English works: JD matches it against its titles. On our test run, iphone 17 returned iPhone 17 listings from Apple-focused stores and phone resellers first, with a few other flagship phones JD ranks next to them. Chinese words (苹果手机) match the way JD shoppers search and give the widest results.

List every product of a JD shop

{
    "startUrls": [
        { "url": "https://mall.jd.com/index-1000004259.html" }
    ],
    "maxItems": 50
}

The shop's catalog in the order the shop shows it, one row per product, each with its live price, review count and good rate, and with brand, model, barcode, variants, stock and delivery from its product page. Huawei's JD self-operated store (华为京东自营旗舰店) listed 476 products that day: this input returned the first 50 in 41 seconds on our test run. shopIds: ["1000004259"] does the same with the bare id.

Refresh the price of products you already track

{
    "productIds": ["100320690657", "100256400499", "4806379"],
    "includeDetails": false
}

Each SKU id or product address gives one row with the real price a shopper sees, not the masked one of the product page, plus its review count and good rate. With the product pages turned off, 30 SKU ids came back in 23 seconds on our test run, 30 of them priced. Leave includeDetails on to add the brand, barcode, stock and delivery of each.

Input parameters

Field	Type	Default	What it does
keywords	array of strings	["华为手机"] (prefill)	Words to search on JD, one search per line, Chinese or English. A SKU number is read as a product id.
startUrls	array of URLs	none	JD product pages, JD search pages and JD shop pages. A search address keeps its own price range; a shop address gives the shop's catalog.
productIds	array of strings	none	JD SKU ids, one row each, with the live price.
shopIds	array of strings	none	JD shop ids (1000004259), the shop's whole catalog each.
maxItems	integer	50	Products saved per keyword, search address or shop, up to 5,000. A product id or product address always gives one row.
minPrice	integer (CNY)	none	Lowest price kept by keyword searches and shops.
maxPrice	integer (CNY)	none	Highest price kept by keyword searches and shops.
includeDetails	boolean	true	Opens each product page for the brand, model, barcode, variants, stock, delivery, returns, warranty, sales rank, size, weight and photos. Off: price, shop and review fields only, faster.

No field is required: the form opens on 华为手机 and returns rows as it is.

Accepted inputs

• Keywords: any words, in Chinese (华为手机, 奶粉, 乐高42232) or English (iphone 17, sony wh-1000xm6, dyson v15). A brand plus a model number (乐高42232) narrows the search to a few hundred products.
• Product pages: https://item.jd.com/100320690657.html, https://item.m.jd.com/product/100320690657.html, https://item.m.jd.com/ware/view.action?wareId=100320690657, JD International pages (https://npcitem.jd.hk/{id}.html, https://item.jd.hk/{id}.html) and WeChat product links (https://wqitem.jd.com/item/view?sku={id}). Tracking parameters after the ? are ignored.
• Search pages: https://search.jd.com/Search?keyword=茅台&enc=utf-8 (with or without its ev=...exprice_1000-3000 price filter), https://re.jd.com/search?keyword=lego, https://so.m.jd.com/ware/search.action?keyword=lego.
• Shop pages: https://mall.jd.com/index-1000004259.html, the shop's product list (https://mall.jd.com/view_search-…html), mobile shop links (https://shop.m.jd.com/shop/home?shopId=1000004259) and brand domains (https://huawei.jd.com/).
• SKU ids: the 6 to 15 digit number of a product address, the same as the id column of the results.
• Shop ids: the number of a shop address (1000004259 in mall.jd.com/index-1000004259.html), the same as the shopId column of the results. A shop's vendor id (venderId) is a different number and does not open the shop.
• Lines that are none of these (another site, the JD home page) are skipped with a message in the log, and the rest of the run goes on.

What data can you extract from JD?

Each row is one product SKU (one color and size of a phone, one pack size of a milk powder). The 75 fields come in groups:

Group	Fields
Identity	id (SKU), productId (the product group shared by its variants), url, mobileUrl, title, shortTitle
Product	brand, brandId, model, upc (EAN/UPC barcode), seriesId, categoryId, categoryIds, color, size, variantAttributes, variantCount, variants
Seller	shopId, shopName, shopUrl, venderId, isSelfOperated (sold by JD itself, 京东自营), isFlagshipStore, isJdSupermarket
Price and promotions	price, currency, installmentOffer, installmentMonths, isInterestFree, isLowestPrice, isGovernmentSubsidy (国补), isBillionSubsidy (百亿补贴), isFlashSale, isPresale, promoTags, vatRatePercent, purchaseType
Reviews	reviewsCount, reviewsCountText, goodRate, reviewTags, sellingPoints
Stock and delivery	isOnSale, inStock, stockState, stockQuantity, maxOrderQuantity, purchaseLimit, deliveryPromise, shippingFee, isFreeShipping, returnPolicy, isSevenDayReturn, services, serviceTags, warranty
Badges and rank	isNewArrival, isSuperNewLaunch, isLiveStreaming, isCrossBorder, salesRank, salesRankPosition
Size	weightKg, lengthMm, widthMm, heightMm
Media	imageUrl, images, badgeUrl, hasVideo
Time and context	listedAt, searchQuery, position, scrapedAt

How full the rows are depends on the category and the seller. On our 50-product phone run, 68 of the 72 data fields were filled on at least half the rows; the four below half were the warranty, the promotion tags, the per-customer purchase limit and the selling points, which JD only shows on some products. Across categories the barcode varies most: 41 of the 50 phones had one, 18 of the 40 iPhone and LEGO rows of another run. A product with no reviews yet has a null review count.

Good to know when you use the data:

• id is JD's SKU and never changes; url and mobileUrl are built from it and stay valid as long as the product is listed.
• price is in Chinese yuan (CNY), the price a signed-out shopper sees on JD. It does not include coupons applied at checkout.
• A shop's rows follow the shop's own order: position is the product's rank in the shop's list and searchQuery the shop address. Search-only badges (installments, low-price and subsidy badges, promotion and review tags) stay null on shop rows unless JD's search lists the product.
• reviewsCount turns JD's rounded counts into numbers (5万+ becomes 50000); reviewsCountText keeps JD's own wording.
• listedAt and scrapedAt are RFC 3339 dates in UTC; JD shows China time.
• Image links point to JD's image servers at full size and stay valid as long as the seller keeps the photo.
• Text values (titles, shop names, delivery promises, return policies) are in Chinese, as JD shows them. Field names, ids, numbers and booleans read the same in any language.

Output example

One complete row from our 华为手机 run of 5 October 2026:

{
  "id": "100248562389",
  "productId": "100248562389",
  "url": "https://item.jd.com/100248562389.html",
  "mobileUrl": "https://item.m.jd.com/product/100248562389.html",
  "title": "华为畅享 90 Plus 128GB星海蓝  麒麟8系芯片丝滑超好用鸿蒙AI防诈6620mAh巨鲸大电池柔光护眼直屏手机",
  "shortTitle": "华为畅享 90 Plus智能手机",
  "brand": "华为（HUAWEI）",
  "brandId": "8557",
  "model": "畅享 90 Plus",
  "upc": "6942103189135",
  "seriesId": "1307476",
  "categoryId": "655",
  "categoryIds": ["9987", "653", "655"],
  "color": "星海蓝",
  "size": "128GB",
  "variantAttributes": { "外观": "星海蓝", "存储容量": "128GB", "自定义": "标准版" },
  "variantCount": 7,
  "variants": [
    { "id": "100331677410", "color": "羽沙白", "size": "128GB", "spec": "标准版" },
    { "id": "100331677350", "color": "星空黑", "size": "128GB", "spec": "标准版" },
    { "id": "100331677352", "color": "羽沙白", "size": "256GB", "spec": "标准版" },
    { "id": "100248562339", "color": "星空黑", "size": "256GB", "spec": "标准版" },
    { "id": "100331677404", "color": "星海蓝", "size": "256GB", "spec": "标准版" },
    { "id": "100248562389", "color": "星海蓝", "size": "128GB", "spec": "标准版" },
    { "id": "100350580280", "color": "星空黑", "size": "256GB", "spec": "标准" }
  ],
  "shopId": "1000004259",
  "shopName": "华为京东自营旗舰店",
  "shopUrl": "https://mall.jd.com/index-1000004259.html",
  "venderId": "1000004259",
  "isSelfOperated": true,
  "isFlagshipStore": true,
  "isJdSupermarket": false,
  "price": 1449,
  "currency": "CNY",
  "installmentOffer": "6期免息",
  "installmentMonths": 6,
  "isInterestFree": true,
  "isLowestPrice": false,
  "isGovernmentSubsidy": true,
  "isBillionSubsidy": false,
  "isFlashSale": false,
  "isPresale": false,
  "promoTags": ["赠品"],
  "vatRatePercent": 13,
  "purchaseType": "normalPurchase",
  "reviewsCount": 50000,
  "reviewsCountText": "5万+",
  "goodRate": 98,
  "reviewTags": ["时尚美观", "操作简便", "手感一流", "高端大气", "色彩饱满", "还原度高", "优质耐用", "散热性佳", "解锁迅速", "送给TA"],
  "sellingPoints": null,
  "isOnSale": true,
  "inStock": true,
  "stockState": "available_to_order",
  "stockQuantity": 936,
  "maxOrderQuantity": 999,
  "purchaseLimit": null,
  "deliveryPromise": "23:00前付款，预计明天(10月06日)送达",
  "shippingFee": "所选地址此商品无门槛包邮，免基础运费和续重运费。",
  "isFreeShipping": true,
  "returnPolicy": "7天无理由退货",
  "isSevenDayReturn": true,
  "services": ["90天只换不修", "7天价保", "365天原厂维修", "一年质保"],
  "serviceTags": ["明日达", "7天无理由退货", "预约送货", "部分收货", "送货上门", "包邮", "京东物流", "7天价保", "365天原厂维修"],
  "warranty": "1年质保",
  "isNewArrival": false,
  "isSuperNewLaunch": false,
  "isLiveStreaming": false,
  "isCrossBorder": false,
  "salesRank": "2000元以内手机热卖榜第28名",
  "salesRankPosition": 28,
  "weightKg": 0.5,
  "lengthMm": 188,
  "widthMm": 96,
  "heightMm": 66,
  "imageUrl": "https://img14.360buyimg.com/n0/jfs/t1/505233/13/7170/150199/6a883634F7a809a3f/00835a05a048227a.jpg",
  "images": [
    "https://img14.360buyimg.com/n0/jfs/t1/505233/13/7170/150199/6a883634F7a809a3f/00835a05a048227a.jpg",
    "https://img14.360buyimg.com/n0/jfs/t1/448407/20/13631/176855/6a2fd8f0F6a75d2ae/00835a05a0044ef0.jpg",
    "https://img14.360buyimg.com/n0/jfs/t1/405257/35/20255/25977/69c0e1b0F7b59af4a/0083320320e71d72.jpg"
  ],
  "badgeUrl": "https://m.360buyimg.com/umm/jfs/t1/528829/17/2049/1496/6aaa5360F1571fc42/015303203226dc4d.png",
  "hasVideo": true,
  "listedAt": "2026-05-20T15:39:22Z",
  "searchQuery": "华为手机",
  "position": 11,
  "scrapedAt": "2026-10-05T03:10:53Z"
}

Advanced usage

Watch your brand's resellers every morning

{
    "keywords": ["戴森吹风机", "dyson supersonic"],
    "maxItems": 200,
    "includeDetails": true
}

Schedule this input daily from the actor's Schedules tab. Group the rows by shopName and isSelfOperated: you see who sells your products on JD besides your official store, at which price, with which installment offer and stock state, and which listings carry your real barcode (upc) or not.

Match JD listings to your own catalogue by barcode

{
    "productIds": ["100320690657", "100256400499", "100160011712", "4806379"]
}

Give the SKU ids you already know (from a previous run, a supplier sheet or a JD address) and join the rows to your product master on upc and model. Each id returns one row with its current price, stock, delivery promise and all its variant SKUs, so one id is enough to discover the other colors and sizes of the same product.

Sweep a large category fast with the search fields only

{
    "keywords": ["奶粉", "婴儿奶粉", "成人奶粉"],
    "maxItems": 1000,
    "includeDetails": false
}

With product pages turned off, each row keeps the price, shop, seller type, review count, good rate, review tags, installment offer, low-price and billion-subsidy badges, category ids, listing date and photo, and the run reads only search pages: 茅台 gave 25 products in 5 seconds this way on our test run. Use it to size a category first, then rerun the SKUs that matter with productIds and the details on.

Map a competitor's JD shop inside a price band

{
    "shopIds": ["1000004259", "1000000904"],
    "maxItems": 500,
    "minPrice": 1000,
    "maxPrice": 3000
}

Huawei's and Honor's JD self-operated stores, every product they list between 1,000 and 3,000 yuan, with price, review count, good rate, model, barcode and stock. Schedule it weekly and compare two runs on id to see which products a competitor added, dropped or repriced. A JD search address you built on the site works too: paste it in startUrls and its keyword and price range are kept.

Export the subsidy-eligible phones of a price band to a spreadsheet

from apify_client import ApifyClient
import csv

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("silentflow/jd-products-scraper").call(run_input={
    "keywords": ["手机"],
    "maxItems": 300,
    "minPrice": 1000,
    "maxPrice": 6000,
})
rows = [r for r in client.dataset(run["defaultDatasetId"]).iterate_items() if r.get("isGovernmentSubsidy")]
with open("jd_subsidy_phones.csv", "w", newline="", encoding="utf-8-sig") as f:
    w = csv.writer(f)
    w.writerow(["id", "brand", "model", "price", "shopName", "isSelfOperated", "reviewsCount", "goodRate", "url"])
    for r in rows:
        w.writerow([r["id"], r["brand"], r["model"], r["price"], r["shopName"], r["isSelfOperated"], r["reviewsCount"], r["goodRate"], r["url"]])

China's national trade-in subsidy (国补) moves phone and appliance prices; isGovernmentSubsidy tells which listings carry it, so you can compare subsidized and unsubsidized prices of the same model.

FAQ

What is JD.com? JD.com (京东, Jingdong) is China's largest retailer by revenue: it sells its own stock (京东自营, "self-operated") and hosts marketplace sellers, much like Amazon does outside China. It leads in electronics, appliances and branded groceries.

Do I need a JD account or a Chinese phone number? No. The actor reads what any signed-out visitor sees. No login, no session to copy, no API key.

Is the price the real one? Yes. JD hides the price on product pages from signed-out visitors (it shows 6??9), so the actor takes the price from JD's search, where it is shown in full, and from JD's own price page for products of a shop or asked for by id. On our runs the two gave the same price, review count and good rate for the same SKU. When JD does not show a price this time, the row ships without one (null) and every other field filled, and the log says how many.

Can I scrape a whole JD shop? Yes. Paste the shop's address (mall.jd.com/index-1000004259.html, its mobile link or its brand domain such as huawei.jd.com) or give its shop id in shopIds. The actor reads the shop's product list 60 products a page, in the shop's order, up to maxItems per shop, and completes each product like a search result. Big brand shops list several hundred products (476 for Huawei's self-operated store); a small reseller a few dozen.

Can I get the text of the reviews? No. JD shows individual review texts and photos only to signed-in shoppers, and this actor runs without an account. Each row carries what JD shows everyone: the review count (reviewsCount), the good rate (goodRate) and, for search results, the review tags shoppers pick most (reviewTags).

Can I search in English? Yes. JD matches English words against its titles: in our tests lego returned LEGO sets from JD's own LEGO flagship store and sony wh-1000xm6 put Sony's WH-1000XM6 headphones first. Chinese words match the way JD shoppers search and usually give more results, and titles, shop names and delivery texts come back in Chinese, as JD shows them.

How many products can one keyword return? JD shows a count for each search (7,657 for 华为手机, 236 for 乐高42232) and the actor reads its results page after page until your maxItems cap, the end of the results, or three pages in a row with nothing new. A broad keyword easily gives several hundred unique products; a brand plus a model number gives a few dozen.

Can I run several keywords, addresses, ids and shops together? Yes, in any mix. Each keyword, search address or shop gets its own maxItems, and a product found twice (by two keywords, by a keyword and its shop, or by a keyword and its id) is saved once.

Can I filter by price? Yes. minPrice and maxPrice keep the products of a band, in yuan, for every keyword and shop of the run. A run with iphone 17 and lego between 300 and 8,000 yuan returned 40 products in 27 seconds, priced from 359 to 7,999 yuan. A JD search address keeps the price filter it was built with.

What happens when a product page does not load? Now and then JD does not show a product's page. That product still ships as a row with its price, shop, reviews and photo, and the page fields (brand, model, barcode, stock, delivery) stay null. The log says how many rows were saved that way.

How fresh is the data? Live: every run reads JD at the moment it runs, with no cache. Prices on JD change during promotions (618, Double 11), so schedule a run as often as you need a fresh price.

What do isSelfOperated, isGovernmentSubsidy and isBillionSubsidy mean? isSelfOperated is true when JD itself sells and ships the product (京东自营). isGovernmentSubsidy marks listings eligible for China's national trade-in subsidy (国补). isBillionSubsidy marks JD's 百亿补贴 discount program.

Are the image and product links permanent? Product links are built from the SKU and work as long as JD lists the product. Image links point to JD's image servers at full size and stay valid while the seller keeps the photo; download them if you need an archive.

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• Naver - Naver Scraper | Shopping Products, Prices and Reviews
• Taobao - Taobao Scraper | Products, Prices and Sellers
• Vinted Marketplace - Vinted Marketplace Scraper
• Walmart - Walmart Product Scraper
• Agoda - Agoda Scraper | Hotel Prices and Guest Ratings
• Alibaba - Alibaba Products Scraper | Wholesale Prices and MOQ
• AliExpress - AliExpress Reviews Scraper | Feedback, Ratings and Photos
• AliExpress - AliExpress Scraper | Products, Prices and Sales
• Allegro - Allegro Scraper | Products, Prices and Sellers
• Amazon Seller - Amazon Seller Scraper | Emails, Phones and Ratings
• CARFAX - CARFAX Scraper | Used Cars, Prices and History
• Coupang - Coupang Detail Scraper | Product Prices and Options
• Europages - Europages Scraper | Suppliers and B2B Companies
• Google Hotels - Google Hotels Scraper | Prices, Offers and Ratings
• Homedepot - Homedepot Reviews Scraper | Customer Reviews and Ratings
• Lowes - Lowes Products Scraper | Prices, Stock and Specs
• Mobile.de - Mobile.de Scraper
• Naver - Naver Reviews Scraper | Shopping Product Reviews
• Alibaba - Alibaba Scraper | Products, Prices and Suppliers
• Amazon Marketplace - Amazon Marketplace Scraper
• AutoScout24 - AutoScout24 Scraper
• Avito - Avito Scraper | Listings, Prices and Sellers
• Ctrip - Ctrip Scraper | Attractions, Tickets and Reviews
• eBay Listings - eBay Listings Scraper
• Mercari - Mercari Scraper | Listings, Sold Prices and Sellers
• Trip - Trip Scraper | Hotels, Prices and Reviews

💼 Jobs

• ZipRecruiter - ZipRecruiter Jobs Scraper | Salary, Company & Location Filters
• Indeed - Indeed Company Reviews Scraper
• Multi Board - Multi Board Job Scraper
• Glassdoor Job Listings - Glassdoor Job Listings Scraper
• LinkedIn Job Search - LinkedIn Job Search Scraper | Salaries & Seniority
• ATS - ATS Jobs Scraper | Greenhouse, Lever and Ashby
• 🔥 Glassdoor - 🔥 Glassdoor Scraper
• Indeed Jobs Ppr - Indeed Jobs Scraper Ppr
• Jora - Jora Jobs Scraper
• Malt - Malt Scraper | Freelance Profiles
• Welcome to the Jungle - Welcome to the Jungle Job Scraper
• Arbeitsagentur - Arbeitsagentur Jobs Scraper
• Dice Tech - Dice Tech Jobs Scraper
• Naukri & NaukriGulf - Naukri & NaukriGulf Jobs Scraper
• Seek - Seek Job Scraper
• StepStone - StepStone Scraper

🏠 Real estate

• SeLoger - SeLoger Scraper | Real Estate Listings
• Realtor Rental Listings - Realtor Rental Listings Scraper
• Zillow - Zillow Scraper
• Airbnb Pro Host Contact & - Airbnb Pro Host Contact & Email Scraper
• Bien'ici - Bien'ici Scraper | Property Listings
• Rightmove - Rightmove Scraper
• Trulia Rental Listings - Trulia Rental Listings Scraper
• Airbnb Search - Airbnb Search Scraper
• Anjuke - Anjuke Scraper | Rental Listings, Prices and Agents
• Idealista - Idealista Scraper
• Realestate.com.au - Realestate.com.au Scraper

📣 Social media

• Facebook Search - Facebook Search Scraper
• LinkedIn Post Search - LinkedIn Post Search Scraper | Keywords, Hashtags & Profiles
• LinkedIn Leads - LinkedIn Leads Scraper | Sales Navigator Export
• OnlyFans - OnlyFans Profile Scraper
• Instagram Engagement - Instagram Engagement Scraper
• Instagram - Instagram Story Scraper | Stories & Highlights
• TikTok - TikTok Scraper
• Meta Ad Library - Meta Ad Library Scraper
• YouTube - YouTube Channel Scraper | Videos, Shorts and Views
• Skool Community - Skool Community Scraper
• Facebook Search - Facebook Search Profiles Scraper | People by Name or Keyword
• Kuaishou - Kuaishou Scraper | Videos, Comments and Creator Stats
• Reddit - Posts, Comments, Communities & - Reddit Scraper - Posts, Comments, Communities & Users
• TikTok Trend - TikTok Trend Scraper | Trending Hashtags and Videos
• Weibo - Weibo Scraper | Posts, Profiles and Engagement
• Bilibili - Bilibili Scraper
• Discord - Discord Scraper | Servers, Member Counts and Invites
• Facebook Business Page - Facebook Business Page Scraper
• Snapchat - Snapchat Ads Scraper | Ad Library, Impressions & Targeting
• YouTube - YouTube Transcript Scraper

🏢 Business data

• LinkedIn People Search - LinkedIn People Search Scraper | Profiles & Companies
• Company Data - Company Data Scraper | Emails, Phones and Tech Stack
• Justdial - Justdial Companies Scraper | Business Leads, Phones and Emails
• OpenTable - OpenTable Reviews Scraper | Restaurant Reviews and Ratings
• Teachable - Courses, Prices & Instructors - Teachable Scraper - Courses, Prices & Instructors
• Trustpilot - Trustpilot Enricher
• Website Tech Stack - Website Tech Stack Scraper

✈️ Travel

• Google Maps - Google Maps Scraper
• Booking.com Hotel - Booking.com Hotel Scraper
• Flight Price - Flight Price Scraper
• Trip - Trip Reviews Scraper | Hotel Reviews and Ratings

🎯 Lead generation

• Northdata - Northdata Company Scraper
• Dealroom - Dealroom Scraper | Companies and Investors
• SIRET - SIRET Company Enricher
• ZocDoc - Pay Per Result - ZocDoc Scraper - Pay Per Result
• Google Ads Transparency - Google Ads Transparency Scraper
• UK Companies House - UK Companies House Enricher
• BuiltWith - BuiltWith Scraper | Tech Stacks and Top Sites
• CNPJ Brazilian - CNPJ Brazilian Company Enricher
• Domain - Domain Enricher
• French Company Prospector - French Company Prospector
• SEC - SEC Scraper | EDGAR Filings and Company Data
• ThomasNet Suppliers - ThomasNet Suppliers Scraper
• USPTO - USPTO Scraper | Trademark Search and Status
• Clutch Agency - Clutch Agency Scraper
• G2 - G2 Reviews Scraper
• PagesJaunes - PagesJaunes Business Scraper

🔎 SEO

• Similarweb - Similarweb Scraper | Website Traffic, Rankings and Competitors
• Google News - Google News Scraper
• Apple - Apple Scraper | App Store Apps, Ratings and Charts

📈 Marketing

• Pexels - Pexels Scraper | Photos, Videos and Download Stats

🧰 More tools

• Apple - Apple Reviews Scraper | App Store Reviews and Ratings

Support

Need something this scraper doesn't do yet? We ship features fast.

• Feature requests go straight to our backlog
• Enterprise needs? We do custom integrations and high-volume plans
• Pricing questions? Check the Monetization tab on the actor page

Response time: usually under 24 hours.

Legal compliance

This Actor extracts publicly available product data from JD.com: prices, product details, shop catalogs, shop names and aggregated review figures. It does not bypass any login, paywall or CAPTCHA, and it does not collect personal data about shoppers or reviewers. Users are responsible for complying with JD.com's terms of service and applicable data protection laws (GDPR, CCPA, and China's PIPL where relevant). The data returned is informational; verify prices and specifications before using them for regulated or contractual purposes.

JD Products Scraper is built and maintained by SilentFlow. JD.com and 京东 are trademarks of their owner; this actor is not affiliated with JD.com.