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YouTube

Requests and Beautiful Soup - Web Scraping Tutorials

via YouTube

Overview

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Dive into a comprehensive web scraping tutorial series using Python, Requests, and BeautifulSoup. Learn to extract data from various websites, including real estate platforms like Rightmove, Zoopla, and Zillow, as well as popular sites such as Hacker News, Google Search, and Pinterest. Master techniques for handling proxies, recursive scraping, and extracting specific data types like emails and phone numbers. Explore geocoding with OpenStreetMap, scrape postal codes from multiple countries, and tackle advanced challenges like translating phrases and downloading bulk images. Gain practical experience in navigating locale-specific data and overcoming common web scraping obstacles throughout this 16-hour tutorial series.

Syllabus

web scraper | UK real estate rightmove web scraping tutorial | python requests beautifulsoup.
web scraper | UK real estate properties zoopla web scraping tutorial python requests beautifulsoup.
US real estate properties from zillow | web scraping tutorial | Python Requests BeautifulSoup.
web scraper | proxy list web scraping tutorial | python requests beautifulsoup.
web scraping | hacker news web scraper tutorial | python requests beautifulsoup.
web scraping crash course | python requests beautifulsoup.
web scraping | google search results web scraper tutorial | python requests beautifulsoup.
web scraping | chinese kungfu movies web scraper tutorial | python requests beautifulsoup.
image scraping | pinterest image web scraper tutorial | python requests beautifulsoup.
Web scraping tutorial | Scraping e-commerce site | Python + Requests + BeautifulSoup.
recursive web scraper | stock news web scraping tutorial | python requests beautifulsoup.
Nominatim OpenStreetMap GEOCODING | STREET ADDRESS to LATITUDE & LONGITUDE coordinates.
Nominatim OpenStreetMap REVERSE GEOCODING | LATITUDE & LONGITUDE coordinates to STREET ADDRESS.
Scraping JSON data from SCRIPT tag | Extracting latitude and longitude from Zillow properties.
Extracting EMAILS and PHONES from website contacts | Python Requests BeautifulSoup Regex.
Scraping list of all German postal codes using Pytnon & Requests + BeautifulSoup.
Scraping list of all Austrian postal codes from Wikipedia | Python + Requests & BeautifulSoup.
Scraping ALL Spain postal codes | Data extraction tutorial | Python + Requests & BeautifuSoup.
Scraping list of ALL Italian POSTAL CODES | Python + Requests & BeautifulSoup + Regex.
Python script to translate phrases using Google Translate API.
Sacrilegious WEB SCRAPING challenge - only LING LING can solve it!.
Web scraping LOCALE SPECIFIC data via providing 'accept-language' HTTP header.
bulk download images from pinterest.

Taught by

Code Monkey King

Reviews

5.0 rating, based on 3 Class Central reviews

Start your review of Requests and Beautiful Soup - Web Scraping Tutorials

  • Profile image for ADITYA RAJ 22111003
    ADITYA RAJ 22111003
    BeautifulSoup is a Python library cherished by web scrapers for its elegance and efficiency. With its intuitive syntax, it parses HTML and XML documents effortlessly, offering a cohesive interface to navigate through the messy terrain of web data. B…
  • Profile image for HARSH BHUPESH HAJARNIS 22111017
    HARSH BHUPESH HAJARNIS 22111017
    The "Requests and Beautiful Soup - Web Scraping Tutorials" course is an excellent resource for beginners looking to learn web scraping. The tutorials are well-structured, with clear explanations and practical examples that make it easy to follow along. The course covers the basics of making HTTP requests using the Requests library and parsing HTML with Beautiful Soup. The instructor's teaching style is engaging, and the hands-on approach helps reinforce learning. Overall, it's a highly recommended course for anyone interested in mastering web scraping techniques using Python.
  • Nikunj Bajaj
    The course was nice and helped me scrape a job lisitng website. Highly recommended for students who are looking to scrape websites as the creator of these videos explained the concepts in a very basic language understandable by a non-coding bacground person.

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