Oxylabs' 1688 Scraper is a data gathering solution allowing you to extract real-time information from an 1688 website effortlessly. This brief guide showcases how 1688 Scraper works, along with code examples to help you better understand how to use it hassle-free.
You can get 1688 results by providing your own URLs to our service. We can return the HTML for any page you like.
The example below illustrates how you can get HTML of 1688 page.
import requests
from pprint import pprint
# Structure payload.
payload = {
'source': 'universal_ecommerce',
'url': 'https://fuzhuang.1688.com/nanzhuang?spm=a260k.dacugeneral.home2019category.2.663335e4bwa222'
}
# 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
{
"results": [
{
"content": "\r\n<!DOCTYPE html>\n<html>\n\n<head>\n <link rel=\"dns-prefetch\" href=\"//polyfill.alicdn.com\">\n <link re ... </html>",
"created_at": "2024-02-20 12:15:04",
"updated_at": "2024-02-20 12:15:08",
"page": 1,
"url": "https://fuzhuang.1688.com/nanzhuang?spm=a260k.dacugeneral.home2019category.2.663335e4bwa222",
"job_id": "7165680254252520449",
"status_code": 200
}
]
}Using our 1688 Scraper, you can easily harvest public data from any 1688 web page. Gather essential mobile phone data, such as price, reviews, or specific features, to monitor the market and outperform your competitors. If you require any assistance, connect with our support team through our live chat or email us at hello@oxylabs.io.