Web Scraping From Python| Scrap Flipkart Using Python | Simple Python Coding | Step Wise Explain
Hello Friends,
In This Video We Will Learn To #Scrap #Data From #Flipkart Using #Python Programming Language With Only Three Python Libraries :-
1. Requests
2. Bs4
3. Pandas
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What is in this Video
-We will extract the Names of the Mi Mobile From FlipKart Website.
-We will extract the PRICE of the Mi Mobile From FlipKart Website.
-We will extract the RATING of the Mi Mobile From FlipKart Website
Store The Data In Separate List
Create Dataframe From the Scrap Data
Print The Data
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Steps are :-
1. OPEN THE FLIPKART WEBSITE.
2. OPEN JUPYTER NOTEBOOK FOR PYTHON PROGRAMMING.
3. INSTALL LIBRARIES -- "PANDAS" ," REQUESTS", " BS4".
4. GO TO THE FLIPKART WEBSITE AND COPY THE URL OF THE WEBPAGE.
5. STORE THE URL OF FLIPKART WEBPAGE IN A VARIABLE DECLARE IN PYTHON CODE.
6. MAKE REQUEST FROM THE SERVER FOR THE COPIED URL.
7. PARSE THE CONTENT OF WEBPAGE INTO HTML CODE USING BEAUTIFULSOUP.
8. INSPECT THE WEBPAGE OF FLIPKART (F12 KEY).
9. FIND THE DIV ELEMENT WHERE NAME , PRICE AND RATING ARE MENTION AND AFTER THAT COPY THE "CLASS ID" OF THE DIV.
10. CREATE THREE LIST( FOR STORING NAME, PRICE AND RATING) TO STORE CLEAN DATA.
11. STORE THE DATA OF THE THREE LIST IN DATAFRAME.
12. PRINT THE DATA.
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