https://github.com/oxylabs/adidas-scraper
The Adidas Scraper API is a unique tool that allows developers to seamlessly extract and manipulate data from Adidas' online platforms.
https://github.com/oxylabs/adidas-scraper
adidas adidas-scraper adidas-scraper-api adidas-scraping adidas-web-scraper
Last synced: 4 months ago
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The Adidas Scraper API is a unique tool that allows developers to seamlessly extract and manipulate data from Adidas' online platforms.
- Host: GitHub
- URL: https://github.com/oxylabs/adidas-scraper
- Owner: oxylabs
- Created: 2023-12-18T10:26:44.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-04T13:22:31.000Z (almost 2 years ago)
- Last Synced: 2024-11-17T02:11:43.866Z (about 1 year ago)
- Topics: adidas, adidas-scraper, adidas-scraper-api, adidas-scraping, adidas-web-scraper
- Language: Java
- Size: 8.79 KB
- Stars: 23
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Adidas Scraper API
[](https://oxylabs.io/pages/gitoxy?utm_source=877&utm_medium=affiliate&groupid=877&utm_content=adidas-scraper-github&transaction_id=102f49063ab94276ae8f116d224b67)
[](https://discord.gg/Pds3gBmKMH) [](https://www.youtube.com/@oxylabs)
Oxylabs’ [Adidas Scraper](https://oxylabs.io/products/scraper-api/ecommerce/adidas?utm_source=github&utm_medium=repositories&utm_campaign=product) is a data gathering solution allowing you to extract real-time information from an Adidas website effortlessly. This brief guide explains how an Adidas Scraper works and provides code examples to understand better how you can use it hassle-free.
### How it works
You can get Adidas results by providing your own URLs to our service. We can return the HTML for any Adidas page you like.
#### Python code example
The example below illustrates how you can get HTML of Adidas page.
```python
import requests
from pprint import pprint
# Structure payload.
payload = {
'source': 'universal',
'url': 'https://www.adidas.com/us/under_100-shoes'
}
# Get response.
response = requests.request(
'POST',
'https://realtime.oxylabs.io/v1/queries',
auth=('user', 'pass1'),
json=payload,
)
# Instead of response with job status and results url, this will return the
# JSON response with the result.
pprint(response.json())
```
Find code examples for other programming languages [**here**](https://github.com/oxylabs/adidas-scraper/tree/main/code%20examples)
#### Output Example
```json
{
"results": [
{
"content": "",
"created_at": "2023-12-18 10:26:29",
"updated_at": "2023-12-18 10:26:32",
"page": 1,
"url": "https://www.adidas.com/us/under_100-shoes",
"job_id": "7142460105970199553",
"status_code": 200
}
]
}
```
With our Adidas Scraper, you can conveniently pull public data from any Adidas web page. Gather the necessary product details, such as sports apparel pricing, customer feedback, or athletic footwear descriptions, to examine the marketplace and maintain a competitive edge. If you need help, reach out to our support team through live chat or send us an email at hello@oxylabs.io.