Web Scraping to CSV | Multiple Pages Scraping with BeautifulSoup
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- Опубликовано: 6 ноя 2022
- In this tutorial you will learn how to scrape multiple web pages using BeautifulSoup and export the results to a CSV files using Pandas Library.
We use books.toscrape.com as the web scraping playground and get access to the alt attribute of the images and the name of the classes.
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Finally, a video i can understand and doesn't make me feel dumb.
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Great video!
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This is by far THE best and easiest to understand explanation I’ve heard about using python to scrape data. Thank you for your effort in creating this video. You got a new subscriber!
wow - best tutorial so far on beautifulsoup! Thank you!
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Appreciate it, Sandeep.
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Thanks Nikhil
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Great video! I wrote the code while you were explaining it and I kinda grasped the idea behind what you were doing. The only thing I don't understand is about the indentation and how it affects the for structure. In other languages, you end the for with some code and nest them like any while-do or if-else-endif type of stuff. I also thought that Python was like Javascript where data would automatically be translated on each variable based on it's content Var1 = Here you go (text) or Var1 = 12 (num) but as I saw on your example, you have to transform data into numbers even if they are actually numbers already. Interesting!
I saw what I need to saw, Thank you!!!
Very productive, thank you
Thank You So much SIr!
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liked, and subbed
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khahesh mikonam
Great Sir Today I learned how to do web scrapping .. Nicely Explained 👍. Please make more content
Glad you liked it
Thank you 🎉
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Thank you
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very detailed
24:53 what a vim move 😄.
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Thanks
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Keep.it up bro...
Great my friend
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how do i webscrape the page and the content in the page eg, your video extracts the title, price etc but lets say I also want to extract the book page and the content after the book the book page
like some e-commerce sites show the products name, price etc but when I click the page it shows decscriptions, reviews , and more pictures of the product how do I extract that aswell?
Thanks mahn I like your work!
Thank you very much. Is there a good book you can recommend?
hi sir, well i have a question about the page numbers, if i'm working with for exemple three websites and i don't know how many pages they've got so what should i do to make my code scrape all the products ?
Great tutorial Thanks, now what if the pages have different/variable names like site/brand/VariableBrandname and I only have a list of the pages
How to set the "i" variable to look into a set of "variablebrandname"?
I have the prices in tags and soup.find ignores it all together. Any idea how to handle that?
I'm starting a grocery shopping website is there any way I can do this on a grocery store website? Where I can take everything, turn it into a CSV file and then just put it in my website. Basically like just taking their page with all the features exporting it into a CSV file and and then importing into my website. And having it all be the same exact way as on the grocery stores website with features and all? Please help lol
and i want to access the text in span tag
and this span tag is within a 1i tag
pls how can i go about it
because I tried using spag tag it not giving right text
can i import an array for list of urls?
Thanks, but what if I want follow the subpage of every book and extract the informations in these pages? I mean before I extract the informations in the first page, then go into every subpage of the books and finally grab the pages informations
very informative video, thank you for your efforts.
I use jupyter notebook and I wrote the exact code, yet it doesn't scrap all pages and it scrap only the last number in range. do you have any idea what could cause this error?
pls in a situation whereby i have multiple p tag and I want the text of the second p tag and no class or attrs to differentiate it
pls how can i go about it
Nice video and very well explained❤
Just wanted to know how do I print the genre of every book next to it?
Hello I am struggling with something . Can you help me . I can't see ol but all started with section how to run soup to grab exact data .
Hey so, what do you do when you get the html from the website and its not the right html?? the elements that are visible when i inspect the webpage are not the same as when i request the website data, like there is a list of players and they all have an href, but if i find href and print it says none
Not sure if i am doing something wrong or...
cool video tho, made me want to try it
I am struggling with the same issue to extract the players stats on EPL for my data analytics project
Nice tutorial on scraping multiple pages to CSV with BeautifulSoup! Any tips on reliable proxies for handling large scraping jobs like this? Heard Proxy-Store offers specialized scraping packages, anyone tried them out?
you pulled the name from the image alternative tag sometimes image alternative can be anything instead pulling the title from the h3 tag and title attribute will be better in my opinion
Thanks a lot. It helped solve a problem.
I have a question though.
How do u handle 403 and 503 status_codes errors when scrapping a website?
403 and 503 status code errors, indicate that the server is refusing to fulfill the request. To handle these errors, you can use the requests library to make the request and check the status code.
One way to handle these errors is to use try-except blocks to catch the error and handle it appropriately. For example, you could include a sleep function to wait a certain amount of time before trying again, or you could implement a retry loop to keep trying until the request is successful. Another approach is to use a library like requests-html which has a built-in support for handling these errors and retrying failed requests automatically. Also, you can use a User-Agent in the headers to make the request appear as if it was coming from a browser instead of a scraper, as some websites block requests from known scraper IPs and user-agents.
i'm getting 429 error too many requests, how i can fix it? thanks for amazing tutorials
Would you please make a video on how to scrape the data inside of each link