Multiple Pages Webscraping from Python | Scrap Flipkart Multiple Pages data Using Python | Infoanil

Hello Friends,
In This Video We Will Learn To #Scrap #Flipkart #DataF from #Multiple #page 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 scrap the Names of the Mi Mobile From FlipKart Website of multiple pages
-We will scrap the PRICE of the Mi Mobile From FlipKart Website of multiple pages
- Store The Data In Separate List
- Create Dataframe From the Scrap Data
- Print The Data

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Steps are :-

1. OPEN 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 AND PRICE ARE MENTION AND AFTER THAT COPY THE "CLASS ID" OF THE DIV.
10. CREATE TWO LIST( FOR STORING NAME AND PRICE ) TO STORE CLEAN DATA.
11. STORE THE DATA OF THE TWO LIST (PHONE_NM , PHONE_PR) IN DATAFRAME.
12. PRINT THE DATA.


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