StockX Sales History Scraper
Pricing
from $4.50 / 1,000 results
Pull aggregate sales statistics by time bucket (annual / 90d / 72h / all-time) plus per-size 72-hour activity for any StockX product.
Pricing
from $4.50 / 1,000 results
Rating
0.0
(0)
Developer
Xtractoo
Maintained by CommunityActor stats
0
Bookmarked
3
Total users
2
Monthly active users
4 days ago
Last modified
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You can access the StockX Sales History 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 "productUrls": [{ "url": "https://stockx.com/jordan-1-retro-low-og-banned" }],10 "country": "US",11 "currency": "USD",12 "proxyConfiguration": {13 "useApifyProxy": True,14 "apifyProxyGroups": ["RESIDENTIAL"],15 },16}17
18# Run the Actor and wait for it to finish19run = client.actor("xtracto/stockx-sales-history-scraper").call(run_input=run_input)20
21# Fetch and print Actor results from the run's dataset (if there are any)22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])23for item in client.dataset(run["defaultDatasetId"]).iterate_items():24 print(item)25
26# 📚 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 StockX Sales History Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: