Which are The Best Scraping Tools For Amazon Web Data Extraction?
Web scraping is the method of extracting data from the internet. You’ll usually want to analyze, evaluate, reformat, or transfer data into a worksheet after you have it.
Web extracting has numerous applications, but we’ll emphasize just a couple today: obtaining service and product information from markets. Retailers utilize this information to gain a better understanding of the business and its competitors.
In reality, the benefits can be enormous. To oppose your competitor’s approach, you must first understand the concept. Knowing their rates, for instance, can provide you an advantage in sales by offering a special offer or selling at low rate. Amazon is one of the most popular online shopping destinations. People use it to order groceries, books, laptops, or even hosting plan solutions daily.
Amazon has the largest database for items, reviews, retailers, and market dynamics as a prominent e-commerce site. It’s a gold mine for website data scrapers.
We’ll look at the top APIs for scraping Amazon data without getting prohibited. This blog will save your precious time if you’re looking for the finest tool to extract data from Amazon.
Let’s get started!
Reasons Behind Scraping Amazon Data
If you try to sell any product online, some of the necessary steps are:
- Competitor analysis
- Enhancing your product and value proposal
- Learning market tendencies and manipulating them.
By extracting amazon data, you can simply collect, compare and monitor competitive product details, such as pricing, ratings, and availability. You cannot only assess their cost management, but can also uncover amazing offers for resale.
In the blog, we are providing few web scraping tools for scraping amazon data.
Why Use Web Scraping API?
Amazon is among the biggest online stores in history. As a result, Amazon has one of the largest databases of information about customers, items, ratings, sellers, market dynamics, and even user temperament.
Before we learn the specifics of data extraction, it’s worth noting that Amazon does not support internet scraping. This is because the page structure differs depending on the product categories. Simple anti-scraping techniques are in place on the website, which may prevent you from gathering the information you seek. Aside from that, Amazon can tell whether you’re scraping it with a scraper. Besides that, Amazon can detect if you are scraping it with a bot and will immediately block your IP address.
Amazon Web Scraping Tools For The Job
We’ll scrape using a terminal and some curl requests to get the job done as quickly as possible even without the need to create a new project for each application we test. To test out, we’ve chosen five promising web scraping APIs.
Let us take each of them for a test and search out which is the best web scraping tool for amazon data scraping.
1. Web Scraping API
Web Scraping API is a program that enables us to scrape any web resource. It uses a simple API to extract HTML from any web page and returns ready-to-process data. It’s useful for extracting product data, processing real estate, HR, or financial data, and even tracking market data. We can get all the information we need from a specific Amazon product page using Web Scraping API.
For instance, find an exciting product on the Amazon market.
The product page seen in the image above will be scraped.
Secondly, let’s get the product’s page
We will be taken to the application’s dashboard after creating a new Web Scraping API account. To test the application, Web Scraping API offers a free plan with 1000 requests. For what we’re going to do, that’s more than enough.
We’ll go to the dashboard page and click the “Use API Playground” button. We can see the complete curl command here, which will assist us in scraping the Amazon product page.
Let’s copy and paste the product’s URL into the URL field. The preview of the URL command on the right will alter as a result of this.
After you’ve finished this step, copy the curl command and copy this into a new terminal session. If you follow the above procedure, you should have something similar to this:
When we press enter, Web Scraping API will return the product’s page in HTML format.
According to our results, Web Scraping API was able to successfully obtain the required information in 99.7 percent of the situations, with a success rate of 997 out of 1000 queries and a 1-second latency.
ScrapingBee allows you to scrape without even being blocked using both traditional and premium proxies. It concentrates on collecting all the required data for rendering websites in a real browser (Chrome). Developers and businesses can scrape without worrying about proxies or headless browsers thanks to their vast proxy pool.
Let’s try scraping the same Amazon page we scraped earlier. Make a new ScrapingBee account, browse to the app’s dashboard, and paste the previous URL in the URL input.
In the “Request Builder” area, click the “Copy to clipboard” button. Open a terminal window and paste the copied code and hit “ENTER”.
With this command, we’ll scrape the same page on the Amazon marketplace so that we can compare the results from each API.
According to our investigation, ScrapingBee was able to correctly obtain information in 92.5 percent of the situations with a rather large latency of 6 seconds.
3. Scraper API
Web scraper API is a development tool for web scrapers or a tool that extracts any data using a simple API call. The web service will manage proxies, browsers, and CAPTCHAs, allowing developers to achieve raw HTML from any website. Furthermore, the product will achieve a balance in functionality, dependability, and use.
We’ll create a fresh account on Web Scraper API and use 1000 free requests for evaluating their crawling technology, exactly like we did before. We will be forwarded to the following page once we have completed the registration process:
ScraperAPI does not appear to offer the ability to change the curl query by writing the new URL at the first sight. This isn’t a large deal. We’ll start a new terminal window and paste the code from the “Sample API Code” field.
As we can see, the default URL that it’s being scraped is “http:/httpbin.org/ip”. We are going to change it to the escaped version of the product’s page URL presented at the top of the section. Change the previously presented link with the following one:
The final command should look something like this:
After pressing enter, the HTML code for the product’s page will be shown. Of course, you can manipulate the generated data structure with Cheerio or any other markup parser.
ScraperAPI appears to be the finest option, with a success rate of 100% and a latency of less than one second.
Once we complete the registration process as before, we will be readdressed to the dashboard page.
Copy and paste the product’s page URL in the URL input.
Scroll down to the middle of a page to get the curl command we need to scrape the Amazon data. Copy it to the clipboard by clicking the “Copy to Clipboard” button, then paste it into a new terminal window. It should look like this:
Unlike other web scraping tools, the result that will be displayed would be in HTML page format.
According to our analysis, Zenscrape has a 98 percent success rate, with 98 successful requests out of 100 and a latency of 1.4 seconds. This ranks it lesser than the preceding tools, but it has one of the most intuitive and elegant user interfaces, and it gets the job done.
As before, we go through the same process, initially, create an account on Scraping Ant and make use of its 1000 free requests for scraping amazon product data.
Replace our URL in the URL input field, copy the curl command to a new terminal window, and hit ENTER.
This will yield an HTML structure that we can parse using Cheerio or another markup parser. ScrapingAnt’s key features include Chrome page rendering, output preprocessing, and scraping requests with a low risk of CAPTCHA check triggering.
According to our analysis, ScrapingAnt has a success rate of 100 percent and a latency of three full seconds. Although has one of the highest success percentages on this list, the 3-second latency is a major issue when scraping a large amount of Amazon product data.
We sought to figure out what the effective tool for the occupation was during this process. We were able to examine and analyze five scrapers and discovered that the outcomes were not that dissimilar. They’re all capable of getting the job done in the end. Each scraper’s delay, rate of success, amount of free requests, and pricing makes a difference. When it comes to scraping Amazon data, Web Scraping API is a good choice because it has one of the smallest latency (1 second) and a near-100 percent success rate. It has a free tier for those who don’t need to make a lot of requests, as well as 1000 free inquiries if you just want to play about with it.
AScrapingBee is another web scraper we certify, however, the results are unsatisfactory. We have a hard time getting the information we needed on our Amazon goods with a success rate of only 92.5 percent and a somewhat long latency.
ScraperAPI is also one of the fastest scrapers we’ve come across. It has better effects in the level of technical criteria, with only a 1-second delay and a 100% success rate. Its disadvantage is the user interface, which appears to be the most basic. Another flaw is the price plan, which does not have a free tier.
Zenscrape features the most user-friendly interfaces of any scraper we have evaluated. WebScrapingAPI is the only one that comes close. Zenscrape has a 1.4-second latency and a 98 percent success rate.
ScrapingAnt is the most recent scraper we tested. It’s an excellent option for extracting the Amazon information we require, but it’s a little slow, with such a latency of around 3 seconds and a rate of success of 100%.
Finally, when it collects Amazon product information, all of the web scrapers we examined perform admirably.
Instead of trying yourselves, we recommend contacting iWeb Scraping services for genuine amazon data scraping delivery.
We are always available to deliver the best services.
Originally published at https://www.iwebscraping.com.