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StockX Scraper

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Pay $4.00 for 1,000 results

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StockX Scraper

StockX Scraper

avaritia/stockx-scraper
Try for free

Pay $4.00 for 1,000 results

Scrape comprehensive publicly available data from stockx.com including detailed product information, market state, and sales trends. Utilize detailed transaction records and time-series data to analyze market dynamics and predict trends.

You can access the StockX Scraper programmatically from your own Python 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 ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "scrapeInput": [
10        "https://stockx.com/air-jordan-4-retro-military-blue-2024",
11        "louis-vuitton-by-tyler-the-creator-multiple-wallet-chocolate-craggy-monogram",
12    ],
13    "dataType": "fetch_product_data",
14    "currencyCode": "USD",
15    "countryCode": "US",
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("avaritia/stockx-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-start

StockX Scraper API in Python

The Apify API client for Python is the official library that allows you to use StockX Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community

Actor Metrics

  • 10 monthly users

  • 1 star

  • >99% runs succeeded

  • Created in Apr 2024

  • Modified 3 months ago

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