![]() Scraping those product pages can net you invaluable data such as: Unless you’ve designed a truly innovative new product, the chances are that you can already find something at least similar on Amazon. While there are many individual reasons, it boils down to two prominent use cases: optimizing your products and finding the best deals. When scraping the web, your primary question should be what to do with all that data. So, it goes without saying just how big of a data treasure trove the website is. Recommended Reading: “ The Guide To Ethical Scraping Of Dynamic Websites With Node.js And Puppeteer” by Andreas Altheimer Why You Should Extract Amazon Product Dataīeing the largest online retailer on the planet, it’s safe to say that if you want to buy something, you can probably get it on Amazon. As such, I urge you always to be mindful of the website while scraping, take care not to damage it, and follow ethical guidelines. You’re about to find out! But first of all, I’d like to make something clear right now - while the act of scraping publicly available data is legal, Amazon has some measures to prevent it on their pages. Of course, a bot can do that in the time it took you to read this sentence, so it’s not only less boring but a lot faster, too.īut the burning question is: why would someone want to scrape Amazon pages? So, in essence, it’s a way to automate the tedious process of hitting ‘copy’ and then ‘paste’ 200 times. Web scraping is the practice of extracting large amounts of web data through the use of software. All scenarios can benefit from the use of a web scraper. Actually, there’s another thing they share. Or maybe you just want to buy something for yourself and want to make sure you get the best bang for your buck.Īll these situations have one thing in common: you need accurate data to make the correct decision. ![]() Or perhaps you already have your own product on the market and want to see which features to add for a competitive advantage. Have you ever been in a position where you need to intimately know the market for a particular product? Maybe you’re launching some software and need to know how to price it. Here’s how to build your data extraction bot with Node.js. But, how can a developer get that data? Simple, by using a web scraper. ![]() X-ray becomes more powerful when you start composing instances together.The wealth of data that Amazon holds can make a huge difference when you’re designing a product or hunting for a bargain. While x('ul', 'li') will only select the first list item in an unordered list, x('ul', ) will select all of them.Īdditionally, X-ray supports "collections of collections" allowing you to smartly select all list items in all lists with a command like this: x(, ). X-ray also has support for selecting collections of tags. Specify a timeout of ms milliseconds for each request. Throttle the requests to n requests per ms milliseconds. If only from is specified, delay exactly from milliseconds. nextUrl: The URL of the next page to scrape.ĭelay the next request between from and to milliseconds.result: The scrape result object for the current page.The validator function receives two arguments: xray.abort(validator)Ībort pagination if validator function returns true. Limit the amount of pagination to n requests. The syntax for selecting on attributes is If you do not supply an attribute, the default is selecting the innerText. ![]() The selector takes an enhanced jQuery-like string that is also able to select on attributes. Scrape the url for the following selector, returning an object via a promise. Pluggable drivers: Swap in different scrapers depending on your needs. Responsible: X-ray has support for concurrency, throttles, delays, timeouts and limits to help you scrape any page responsibly. The flow is predictable, followingĪ breadth-first crawl through each of the pages. Scraped pages can be streamed to a file, so if there's an error on one page, you won't lose what you've already scraped.Ĭrawler support: Start on one page and move to the next easily. X-ray also supports a request delay and a pagination limit. Pagination support: Paginate through websites, scraping each page. The schema is not tied to the structure of the page you're scraping, allowing you to pull the data in the structure of your choosing.Ĭomposable: The API is entirely composable, giving you great flexibility in how you scrape each page. write ( ' results.json ' ) Installation npm install x-ray-scraperįlexible schema: Supports strings, arrays, arrays of objects, and nested object structures. ![]()
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