Scrape Amazon Product Data (Names, Pricing, Asin, Etc.)

Amazon provides many services to Prime members. There’s presently no way of just exporting product data from Amazon to the spreadsheet for business requirements that you may have. Either to do comparison shopping, competitor research, or building an API for the app projects.

It’s evident that web scraping can easily solve this problem.

Amazon product data scraping will permit you to choose particular data that you’d wish from the Amazon site into a JSON or spreadsheet file. You may even make an automated procedure, which runs on a daily, weekly, monthly basis for constantly updating your data.

List of Data Fields

With Amazon product data scraping, you can easily scrape data fields like:

Product Name

Short Description

Price

Full Product Data

Image URLs

Ratings

Variant ASINs

Number of Reviews

Sales Rank

Link to Different Reviews Pages

If You are Blocked While Scraping Amazon – What to Do?

Amazon is likely to consider you as the “BOT” in the case; you scrape hundreds of pages with different codes. The thought is to avoid having considered as BOT when doing scraping. Let’s see how to do that.

Use Proxies and Turn Them

Scraping hundreds of products from Amazon.com using a laptop that generally has a single IP address, Amazon will understand immediately that a bot is working as any human can’t visit hundreds of pages in one minute. To feel like a human, you need to send requests to Amazon using a pool of different proxies or IP Addresses. The rule here is to get 1 IP address or proxy to make a maximum of 5 requests per minute. /If you are scraping about 100 pages per minute, so you need around 100/5 = 20 Proxies.

Identify the User Agents of Newest Browsers and Replace Them

Like proxies, it is always good to get a group of User Agent Strings. So, ensure that you use user-agent strings of popular and the latest browsers and change the strings for every request you do on Amazon. It is a good idea of creating a combination of (User-Agent and IP Address) in order that it appears more human than the bot.

Lessen the Number of ASINs Extracted Every Minute

You may try to slow down scraping a bit forgiving Amazon lesser chances of considering you like the bot. However, around 5 requests for every IP per minute won’t be much curbing. If you want to go quicker, add additional proxies. You may also change the speed by decreasing or increasing delays in sleep functions.

Retry Repeatedly

When you get blocked by Amazon, ensure that you retry the request. Use code retries straightaway after the scraping fails, you might do even superior job here by making the retry queue through the list, as well as retry after all other products get scraped from Amazon.

How to Extract Amazon Product Data on a Huge Scale?

An Amazon product scraper needs to work for small-scale scraping as well as hobby projects. This may help you start on the road for building bigger as well as superior scrapers. Although, if you need to scrape product information from Amazon for thousands of pages with shorter intervals, consider these important things:

Use Web Scraping Frameworks like Scrapy or PySpider

While crawling a huge website like Amazon, you have to spend some time figuring how to run the whole crawl smoothly. Select an open-source framework to build Amazon data extractor like PySpider or Scrapy that are both based on Python. All these frameworks have active communities as well as can deal with handling many errors, which happen while scraping Amazon site without disturbing an Amazon product API. The majority of them help you utilize different threads for accelerating scraping.

When to Use a Cloud Service Provider?

There are limits to the number of pages you can extract data from Amazon while using one computer. If you use Amazon product data scraping on a big scale, then you require lots of servers to find data inside a sensible time. You might consider hosting an Amazon product data scraper in the cloud as well as utilize scalable versions of a Framework like Scrapy Redis. For bigger crawls, utilize message brokers including Redis, Kafka, and Rabbit MQ for running multiple spider occurrences to accelerate crawls.

Use Schedulers If You Want to Run a Scraper Occasionally

If you use a scraper for getting updated product prices, you should refresh the data frequently for keeping track of different changes. Use Task Scheduler for Windows for scheduling the crawler, in case you use the scripts. If you use Scrapy, then scrapyd+cron can assist in scheduling the spiders so that you can just refresh data at regular intervals.

Use Databases to Store Scraped Data from Amazon

If you scrape a huge number of products from Amazon, then writing data in the file might soon become difficult. Recovering data becomes hard, and you could end up having nonsense within the file while multiple procedures write to one single file. Utilize a database although you are extracting from one computer. MySQL would be fine for reasonable workloads as well as you can utilize easy analytics on scraped data tools including Metabase, Tableau, or PowerBI through connecting them to the database. For bigger write loads, just look into a few NoSQL databases including Cassandra, MongoDB, etc.

Use Proxies, Request Headers, and IP Rotation for Preventing Captchas from Amazon

Amazon has many anti-scraping measures. In case, you are scraping Amazon, they can block you immediately and you’ll start getting captchas rather than product pages. To avoid that, while searching every Amazon product page, you should change your headers by replacing the UserAgent value. It makes the requests appear as if they’re coming from the browser and not any script.

To crawl Amazon products on a huge scale, use IP Rotation and Proxies to decrease the number of captchas. You may also utilize python for solving some fundamental captchas through an OCR named Tesseract.

How to Utilize Amazon Product Data?

Track Amazon Products with Price Changes, Stock Availability, Rating, etc.

Using Amazon product data scraper, it’s easy to update data feeds in a timely manner to monitor all product changes. The data feeds can assist you in forming pricing strategies by going through your competition, other brands, and sellers.

Scrape Amazon Product Data Like Names, Pricing, ASIN, etc., Which You Can’t Find with a Product Advertising API

Amazon offers a Product Advertising API, however, like most other APIs, it doesn’t give all the data that Amazon provides on the product page. An Amazon product scraper can assist you in scraping all the information given on a product page.

Study How a Brand Sells on Amazon?

Any retailer should monitor his competitor’s products as well as observe how well they perform in the market as well as make adjustments for repricing and selling the products. You can also use that to track your distribution channels to recognize how the products are getting sold by different sellers on Amazon as well as if this is causing any harm to you.

Get Customer Opinions through Amazon Product Reviews

Reviews provide a huge amount of information. In case, you are targeting a well-established set of sellers that have been selling rational volumes, you may scrape their product reviews to understand what you to avoid as well as what you need can improve on whereas trying to deal with a similar type of products on Amazon.

Conclusion

If you have any questions like how to scrape product data or how to scrape product data and pricing using Python or how to do product pricing and review data scraping, then X-Byte Enterprise Crawling is a perfect solution for you! Scrape Amazon Product Data like Names, Pricing, ASIN, etc. with X-Byte in the best possible manner to get the required results.

For more visit – Xbyte Enterprise Crawling

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