This project is a Python-based web scraping script that extracts information about TV series from IMDb and stores it in a CSV file. It utilizes the requests library to make HTTP requests and BeautifulSoup for HTML parsing. The scraped data includes series names, release years, ratings, and genres.
Before running the script, ensure you have the following prerequisites installed: - Python 3 Required Python libraries (requests, BeautifulSoup, pandas), which can be installed using pip: (pip install, sudo apt-get install python3) - beautifulsoup4, pandas
Clone the repository or download the script (web_scraping_imdb.py) to your local machine. Open the script in a Python IDE or text editor. Run the script to initiate the web scraping process. The script will fetch data from IMDb and save it as a CSV file named 18it106-web-scraping.csv in the same directory. python web_scraping_imdb.py
The CSV file generated (18it106-web-scraping.csv) will contain the following columns:
Series Name Release Years Ratings Genre
Here's a snippet of what the CSV file might look like:
| Series Name | Release Years | Ratings | Genre |
|---|---|---|---|
| Star Trek: The Next Generation | (1987–1994) | 8.6 | Action, Adventure, Mystery |
| Seinfeld | (1989–1998) | 8.8 | Comedy |
| Twin Peaks | (1990–1991) | 8.8 | Crime, Drama, Mystery |
| The Simpsons | (1989– ) | 8.6 | Animation, Comedy |
| Mr. Bean | (1990–1995) | 8.5 | Comedy, Family |
| ... |
Author devanshu3