How to Extract Amazon Product Prices Data with Python 3 | 3i Data Scraping
How
to Scrape Amazon Product Data from Amazon Product Pages?
·
Markup all
data fields to be extracted using Selectorlib
·
Then copy
as well as run the given code
Setting
up your Computer for Amazon Scraping
We will utilize Python 3 for the Amazon Data Scraper. This code won’t run in case, you use Python 2.7. You require a
computer having Python 3 as well as PIP installed.
Follow the guide given to setup the computer as well as install
packages in case, you are using Windows.
Packages
for Installing Amazon Data Scraping
Python Requests for making requests as well as download HTML content
from Amazon’s product pages
SelectorLib python packages to scrape data using a YAML file that we
have created from webpages that we download
Using pip3,
pip3 install requests selectorlib
Scrape
Product Data from Amazon Product Pages
An Amazon product pages scraper will extract the following data from
product pages.
·
Product
Name
·
Pricing
·
Short
Description
·
Complete
Product Description
·
Ratings
·
Images
URLs
·
Total
Reviews
·
Optional
ASINs
·
Link to
Review Pages
·
Sales
Ranking
Scraping Amazon Products from Search Results Pages
Scraping Amazon
Product Data
The Amazon search results pages scraper will extract the following data
from different search result pages:
·
Product’s
Name
·
Pricing
·
URL
·
Ratings
·
Total
Reviews
The code and steps for extracting the search results is similar to a product pages scraper.
Run
an Amazon Scraper for Scraping Search Results
You can begin your scraper through typing this command:
python3 searchresults.py
When the scraping is completed, you need to see the file named
search_results_output.jsonl with the data.
The example of it is:
https://www.amazon.com/s?k=laptops
https://www.3idatascraping.com/contact-us.php
What
Should You Do If You are Blocked When Scraping Amazon?
Amazon may consider you as the “BOT” in case, you start extracting
hundreds of pages by the code given here. The thing is to avoid having flagged
as a BOT while extracting as well as running the problems. How to cope with
such challenges?
Imitate the human behaviour to the maximum
Use
Proxies as well as Switch Them
Let us assume that we are extracting thousands of products on
Amazon.com using a laptop that normally has only single IP address. Amazon
would assume us as a bot because NO HUMAN visits thousands of product pages
within minutes. To look like the human — make some requests to Amazon using the
pool of proxies or IP Addresses.
Specify
User Agents of the Newest Browsers as well as Switch Them
If you observe the code given, you would get a line in which we had set
the User-Agent String for requests we are doing.
Like proxies, it’s good to get the pool of different User Agent
Strings. So, ensure that you use user-agent strings for the popular and latest
browsers as well as rotate these strings for every request you do to Amazon.
Decrease
the Total ASINs Extracted Every Minute
You can also try to slow down the scrapping a bit for giving
Amazon lesser chances of considering you as the bot. However, around 5 requests
for every IP per minute isn’t throttling much. If you want to go quicker, add
additional proxies.
Continue
Retrying
Whenever you get blocked by the Amazon, ensure you retry the request.
Our codes retry immediately after scraping fails, you can do a better job by
making the retry queues using the list, as well as retry them when all the
products get scraped from the Amazon.
If you are looking to get Amazon product data and prices scraping using
Python 3 then contact 3i Data Scraping!
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