Web Scraping in Python Selenium, Scrapy + ChatGPT Prize

Install bs4, requests, and the lxml parser with pip in your IDE, then import BeautifulSoup from bs4 to fetch HTML for your first scraping.

Learn to fetch a webpage's html with requests, parse it with BeautifulSoup, and extract the title and transcript for further text analysis.

Extract the page title and full transcript by locating the article root, h1 tag, and div with class 'full script', then clean the text with strip and a space separator.

Learn to scrape multiple links on a page with beautiful soup find_all, extract hrefs, build full URLs with a root, loop through pages, and save transcripts to text files.

Identify JavaScript driven websites using the browser inspector to verify dynamic loading, then disable JavaScript to confirm whether data loads, guiding Selenium based scraping decisions.

Extract data from HTML tables with Selenium by locating TR and TD elements, looping through rows, and capturing date, home team, score, and away team using tag name and XPath.

Learn to build a Selenium bot in Python to paginate Audible pages, scrape title, author, and runtime, and export results to books.csv with pandas.

Learn to automate multi-page scraping with selenium by identifying the pagination elements, determining the last page, and looping through pages with the next button and implicit waits.

Learn how implicit and explicit waits in Selenium Python improve reliability when scraping dynamic JavaScript content, including presence of element located, and when to use each for robust code.

Download and install Anaconda, then create a new virtual environment for Python. Install Scrapy using conda forge to manage dependencies easily.

Explore Scrapy templates—the simple scraping spider and the crawl spider—and learn to find elements with XPath using response, including get all vs get, and yield for data.

Use Scrapy's shell to test code, inspect a page with XPath, fetch a URL, and extract text and lists such as country names.

Learn to scrape data from multiple pages with Scrapy by building a country-specific parse callback, extracting year and population via xpath, and exporting to JSON with country metadata.

Master Scrapy pagination by building a spider named audible, extract titles, authors, and runtimes with XPath from the homepage and all pages, then export results to csv.

Scrape all audible pages by locating the pagination bar with xpath, extract next page hrefs, iterate with scrapy, and compare speed to selenium while exporting results to csv.

Create and configure a crawl spider using Scrapy's crawl template, defining rules, allowed and denied patterns, and restrict_xpath to follow targeted links.

Learn to paginate web scraping with the Chrome template by following the next page button and building an XPath to navigate to and extract transcripts from subsequent pages.

Learn to change the user agent in a scrapy spider using a curl template, settings.py, and start_requests to set headers and a custom user_agent value.

Store scraped transcripts in a SQLite database by creating a transcripts table with title, plot, transcript, and url, and insert data using Python's sqlite3.