how can i re-write the below code to get an actual data set instead of the empty data frame response that i am getting?

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I have written the following lines of code to scrap a book store website to get; the book title, the price of the book and the availability of the book. My code runs well but i get an empty data frame instead of the data i want. Please assist
>>> import requests
>>> import bs4
>>> import re
>>> import pandas as pd
>>> full_dict={'Title':[],'Price':[],'Availability':[]}
>>> for index in range(1,50):
    for book in books:

>>> df=pd.DataFrame(full_dict)
>>> print(df)
i want to get the book title,book price and book availability(whether the book in in stock) displayed as results. form, for the first 50 pages

ok, I just saw the mistake:

your variables are called e.g. book_title but you append just title

it must be:


15 Easy Solutions To Your Data Frame Problems In R, Discover how to create a data frame in R, change column and row names, As you can see below, each instance, listed in the first unnamed Data frames also have similarities with lists, which are basically At <- c(22,40,72,41) Writer. Note how you don't see any column names in this empty data set. I think I am understanding these data sets more and more, I was hoping to find more of a data-set, that has a living connection with the back-end access database, so that tables would be auto loaded (or at least the first time they are need), and changes made via the data set (via the datatable), would be immediately view able, in the db

You need to change your url to be correct otherwise 404. I would then also change to faster selectors and ensure your variable names are consistent

import requests
import bs4


for index in range(1,3):
    res = requests.get(f"{index}.html") #
    soup = bs4.BeautifulSoup(res.text,'lxml')
    books ='.product_pod')

    for book in books:
        book_title = book.select_one('h3 a').text
        book_price = book.select_one('.price_color').text.replace('Â','')
        book_availability = book.select_one('.availability').text.strip()

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It seems that you're getting an 404 Error from the Webpage

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Manipulating, analyzing and exporting data with tidyverse, Add new columns to a data frame that are functions of existing columns with mutate . to write this in the console than in our script for any package, as there's no need Sometimes we want data sets where we have one row per measurement. read_csv() function, from the tidyverse package readr , instead of read.csv() . To find all the rows in a data frame with at least one NA, try this: > unique (unlist (lapply (, function (x) which ( (x))))) lapply() applies the function to each column and returns a list whose i-th element is a vector containing the indices of the elements which have missing values in column i.

  • now i do not get the empty data frame error. Now i get empty columns.
  • can you post an example of the dict you are using? I can't reproduce the error because I'm getting the 404 error with opening the html pages
  • I want to scrap details of the book title, price and book availability for the first 50 pages
  • code from @QHarr works, also you had a spelling error with product_prod instead of product_pod
  • no it's not a 404 error. What i get in the console is this:"Empty DataFrame Columns: [Title, Price, Availability] Index: []"
  • but do you get any data out of e.g. soup?