E-commerce web scraping powered by ML

MLScrape's API is useful for any task where you need an automated method to extract data from product pages. Here are the most common examples of how people are currently using the API:

• Competitive Pricing - Using MLScrape, you can monitor the price of your competitors who sell similar products, and adjust your prices in real-time when their prices change.

• Market research - Using the specification data returned from the API, MLScrape can help you conduct your market research, and find out what sorts of products are currently on the market.

• Clean product feeds - Lots of businesses sell products from a range of suppliers that don't provide a clean product feed. Instead of creating a scraper for each of those suppliers, you can use MLScrape to extract the core product data from those product pages. 

If you want to scrape data from a few websites, then creating and maintaining your own web scrapers isn't too difficult. 

Once you attempt to scrape data from 10s or 100s of different websites, maintaining web scrapers that are robust enough to handle changes in the page layout becomes incredibly tedious and time-consuming. 

MLScrape solves this problem by utilizing machine-learning algorithms that are generic enough to scrape product data from a wide variety of websites, regardless of the layout of the webpage.

Yes - rotating proxies are available for all the plans. Any API request that uses rotating proxies uses up 2 requests from your quota.

The API is currently in beta - while it remains in beta, you will need to sign up to RapidAPI in order to use it. As soon as the API is out of beta, you will be able to use it without needing to sign up to RapidAPI.