Web Scraping Flipkart Python

Wednesday, December 04, 2019

1. Flipkart Web Scraping Python Github
2. Web Scraping Flipkart Python Interview
3. Web Scraping Flipkart Python Code
4. Web Scraping Flipkart Python Tutorial

Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from websites using its HTML structure, In this post, I will explain how to extract data from authenticated required websites using selenium (chrome driver) with python programing. Web scraping project - Flipkart parser I Made This After a few days of practicing beautifulsoup4 in python, I have made a Flipkart parser that takes a product to search as input and parses through all the results and stores the product name, price, rating, and URL of the product in a.csv file of the same name.

The latest version for this tutorial is available here. Go to have a check now!

In this tutorial, we are going to show you how to scrape product data from Flipkart.com.

To follow through, you may want to use this URL in the tutorial:

We are going to enter each detail page and scrape the product title, rating, and price.

This tutorial will also cover:

· Deal with AJAX for pagination

· Modify XPath for accurately locating the desired price data

Here are the main steps in this tutorial: [Download task file here]

1) Go to Web page - to open the targeted web page

· Click '+ Task' to start a new task with Advanced Mode
Advanced Mode is a highly flexible and powerful web scraping mode. For people who want to scrape from websites with complex structures, like Walmart.com, we strongly recommend Advanced Mode to start your data extraction project.

· Paste the URL into the 'Extraction URL' box and click 'Save URL' to move on

2) Create a pagination loop - to scrape all the results from multiple pages

· Turn on the “Workflow Mode” by switching the 'Workflow' button in the top-right corner in Octoparse
We strongly suggest you turn on the 'Workflow Mode' to get a better picture of what you are doing with your task, just in case you mess up with the steps.

· Click the 'Next' button

· Click 'Loop click next page' from the 'Action Tips'

· Set up AJAX Load for the 'Click to paginate' action

Flipkart.com applies the AJAX technique to the pagination button. Therefore, we need to set up AJAX Load in the 'Click to paginate' step.

· Uncheck the box for 'Retry when page remains unchanged (use discreetly for AJAX loading)'

· Check the box for 'Load the page with AJAX' and set up AJAX Timeout (2-4 seconds will work usually)

· Click 'OK' to save

3) Create a 'Loop Item' - to loop click into each item on each list

· Click 'Go To Web Page' to go back to the first page
When extracting data throughout multiple pages, you should always begin your task building on the first page.

· Make Octoparse identify and select all 24 links on the page

Niigata canotec driver download for windows 10. · Click the first product titles and click 'A' tag from the 'Action Tips'

Flipkart Web Scraping Python Github

· Click the second product titles and click 'A' tag from the 'Action Tips'

In HTML source code, the 'A' tag defines a hyperlink, which is used to link from one page to another. By clicking the 'A' tag on the 'Action Tips', we can help Octoparse select the link to the detail page.

Normally, you don't need to click 'A' manually since Octoparse will automatically distinguish and select hyperlinks. But if Octoparse fails to distinguish hyperlinks, you’ll need to select the 'A' tag on your own to help Octoparse distinguish and select the link.

The selected links will be highlighted in green while other links to the detail pages will be highlighted in red. If certain links on the list page are still missing after the first two clicks, keep clicking on more links from the same list until all links desired are selected and highlighted in green.

· Click 'Loop click each element' to create a 'Loop Item'
Octoparse will click through each link captured in the 'Loop Item', and open the detail page.

4) Extract data - to select the data for extraction

After you click 'Loop click each element', Octoparse will open the detail page of the first product.

· Click on the data you need on the page

· Select 'Extract text of the selected element' from the 'Action Tips'

· Rename the fields by selecting from the pre-defined list or inputting on your own

5) Customize the data field by modifying XPath - to improve the accuracy of a certain data field (Optional)
· Select the 'Price' field
· Click 'Customize data field' and select 'Customize XPath'
· Enter '//div[@class='_1vC4OE _3qQ9m1']' into the 'Matching XPath' box
· Click 'OK' to save

6) Start extraction - to run the task and get data

· Click “Start Extraction” on the upper left side
· Select “Local Extraction” to run the task on your computer, or select “Cloud Extraction” to run the task in the Cloud (for premium users only)

Here is the sample output.

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Hello Guys.! This is an amazing tutorial, Trust me you loved it. What we do in this tutorial is data collection using python web scraping and store the data in JSON and CSV files. don’t you think is it amazing.?

What do you need

• Basics of Python
• Basics of Python Web scraping

That’s enough guys, even if you don’t know check my best articles on Web scraping using python here

Web Scraping Flipkart Python Interview

Ok, Guys.! In this tutorial, we are targeting Flipkart. I am going to scrape mobile info data and save them into CSV and JSON files.

Fortunately, we have all class attributes in This HTML page for the price, mobile name, ratings, and reviews. so that we can easily grab those data from that source page.

I am giving my entire code for this Data collection using Python web scraping tutorial. You can copy and paste it on your python file and run on your cmd or terminal. It will create 2 files, one is JSON and another one is CSV.

Note: Please make sure your Internet connection.

To run this code, you need requests, BeautifulSoup and Pandas libraries which are used for scraping the data from websites, here from Flipkart. Pandas is used for creating CSV files.

JSON was already installed in your system when you install Python in your system, JSON used for to get the data in JSON format.

If you don’t have installed these libraries use these below commands on your cmd or Terminal.

Fkart.py

Web Scraping Flipkart Python Code

After scraping the data we need to store the data for selling if you are lead generator or freelancer and for model building if you are a Data analyst or a Data scientist or Machine learning engineer.

In the above code i used two formats for data storing one is CSV and another one is JSON. If you are a web developer , you love JSON, I know that.

In this way, you can store your web scraped data in python, so that it would helpful for future thoughts.

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Thank you.!😉

Web Scraping Flipkart Python Tutorial