JD.com Scraper
Pricing
Pay per event
Scrape JD.com (JD Global) product listings by keyword, category, or product URL. Extract title, images, product metadata, and price/review/seller fields when JD exposes them. Export to JSON, CSV, or Excel.
Pricing
Pay per event
Rating
0.0
(0)
Developer
Stas Persiianenko
Maintained by CommunityActor stats
2
Bookmarked
9
Total users
3
Monthly active users
4 days ago
Last modified
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You can access the JD.com Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "keywords": [],10 "categoryUrls": [],11 "productUrls": [12 "https://item.jd.com/100027004748.html",13 "https://item.jd.com/100038004153.html",14 "https://item.jd.com/100044707599.html",15 ],16 "maxResultsPerSearch": 20,17 "cookies": "",18 "proxyConfiguration": {19 "useApifyProxy": True,20 "apifyProxyGroups": ["RESIDENTIAL"],21 },22}23
24# Run the Actor and wait for it to finish25run = client.actor("automation-lab/jd-scraper").call(run_input=run_input)26
27# Fetch and print Actor results from the run's dataset (if there are any)28print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])29for item in client.dataset(run["defaultDatasetId"]).iterate_items():30 print(item)31
32# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use JD.com Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: