mirror of https://github.com/daylinmorgan/viv.git
51 lines
1.4 KiB
Python
51 lines
1.4 KiB
Python
#!/usr/bin/env python3
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"""A Simple Script for Extracting Data from a Webpage
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This script allows the user to extract data from a webapge
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and then export the data to a csv file with column(s).
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modified from:
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https://medium.com/analytics-vidhya/a-super-easy-python-script-for-web-scraping-that-anybody-can-use-d3bd6ab86c89
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"""
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__import__("viv").use("requests", "bs4", "rich") # noqa
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import requests
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from bs4 import BeautifulSoup
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from rich import box
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from rich.console import Console
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from rich.table import Table
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# Put your URL here
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url = "https://www.nytimes.com/books/best-sellers/combined-print-and-e-book-nonfiction/"
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# Fetching the html
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r = requests.get(url)
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# Parsing the html
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parse = BeautifulSoup(r.content, "html.parser")
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# Provide html elements' attributes to extract the data
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text1 = list(
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e.get_text().strip() for e in parse.find_all("h3", attrs={"class": "css-5pe77f"})
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)
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text2 = list(
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e.get_text().strip().replace("by ", "")
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for e in parse.find_all("p", attrs={"class": "css-hjukut"})
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)
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max_len = max((len(txt) for txt in text1))
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print()
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table = Table(title="NY Times Best Sellers", box=box.ROUNDED, title_justify="left")
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table.add_column(
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"Title",
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justify="right",
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style="cyan",
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no_wrap=True,
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)
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table.add_column("Author", style="magenta")
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for col1, col2 in zip(text1, text2):
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table.add_row(col1, col2)
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console = Console()
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console.print(table)
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