AliExpress Scraper API
Scrape AliExpress on a large scale and build a solid strategy for your e-commerce business.
Retrieve location-specific AliExpress data
Get pricing, review, product, and other public data
Forget infrastructure maintenance
*This web scraper is a part of E-Commerce Scraper API
How to scrape AliExpress with our Scraper API
Scraping public AliExpress product data is easy: simply provide us with a URL of any AliExpress page and we’ll deliver data in HTML format. With our AliExpress product scraper, you can gather all types of public data, including product categories, images, pricing, reviews, ratings, and more.
{
"results": [
{
"content":"\n\n
...
\n\n",
"created_at": "2022-11-17 14:53:52",
"updated_at": "2022-11-17 14:53:54",
"page": 1,
"url": "https://www.aliexpress.com/item/1005004397820362.html",
"job_id": "6999021798385787905",
"status_code": 200
}
]
}Monitor competitor pricing
Scrape publicly available AliExpress products data to build a solid price monitoring routine. With freshly gathered product data, e-commerce companies can keep up with the ever-changing market and discover trends in their competitors’ pricing. Our AliExpress data scraper:
Adapts to layout changes
Helps to collect pricing data at scale
Delivers geo-location based prices
What customers are saying
At Oxylabs, we don’t just provide web scraping solutions – our main goal is to be a reliable business partner. With our customers sharing their positive experience online, we’re proud to see our efforts pay off.
24/7 support and other features
Detailed tutorials
Get off to a good start with our detailed technical documentation and the demo video.
Large proxy pool
Use our 102M+ proxy pool to extract information from specific locations.
Data scraping in bulk
Extract data from up to 1000 URLs per batch from several pages, all at once.
Several delivery choices
Get information sent to your Amazon S3 or Google Cloud Storage bucket or fetch the results through an API.
Highly scalable
Easy to integrate, customize & supports a high volume of requests.
24/7 support
Get in touch with us via live chat or email with any web scraping-related matter.
Smart scraping with API features
Custom Parser
Experience effortless parsing of any target using our infrastructure, empowering you to write parsing instructions independently.
No need to maintain your own parser
Define your own parsing logic with XPath and CSS selectors
Collect ready-to-use structured data from AliExpress
Web Crawler
Use the Web Crawler feature to discover all pages on AliExpress and collect real-time data at scale.
Gather only the data you need from target websites
Control the crawling scope and tailor the end result
Retrieve your results in a specified format
Scheduler
Take advantage of our Scheduler feature to automate recurring scraping and parsing jobs, allowing you to schedule them at the desired frequency.
Create multiple schedules for different jobs
Receive data automatically to your preferred cloud storage
Get notifications once each job is done
AliExpress Scraper API pricing
Retrieve localized data
Pay only for successful results
Utilize scraping know-how
Free Trial
0
1 week trial
Limited to 1 user
Micro
49
$2.80 / 1K results
$49 + VAT billed monthly
Starter
99
$2.60 / 1K results
$99 + VAT billed monthly
Advanced
249
$2.40 / 1K results
$249 + VAT billed monthly
17,500
38,000
104,000
10 requests / s
30 requests / s
10% off
Yearly plans discount
For all our plans by paying yearly. Contact customer support to learn more.
We accept these payment methods:
Available scrapers
Frequently asked questions
Does AliExpress allow web scraping?
Information on AliExpress is considered publicly available, so you should be able to collect it. To learn more about the legality of web scraping, please see our article here or contact a professional about your specific case.
How to scrape AliExpress?
The process of scraping aliexpress.com is similar to gathering public data from any other website. First of all, we recommend using Python programming language for scraping. Then, you need to import the necessary libraries, send a request to the AliExpress website, and parse data to analyze it better.
Need a customized website scraper?
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