How can you extract movie titles and ratings from a streaming site?

Mary Drusus · 2024-12-18T08:10:00+00:00

Streaming sites often display structured data for movies, including titles, ratings, genres, and descriptions. Scraping these details requires inspecting the HTML layout to identify where the titles and ratings are stored. For static pages, BeautifulSoup is ideal for extracting this data, while dynamic pages may require Selenium or Puppeteer to load JavaScript content. Additionally, some streaming sites embed movie details in JSON or as part of their API, which can simplify data extraction if accessible.Here’s an example of scraping movie titles and ratings using BeautifulSoup:import requests from bs4 import BeautifulSoupurl "https://example.com/movies"headers {"User-Agent": "Mozilla/5.0"}response requests.get(url, headersheaders)if response.status_code 200: soup BeautifulSoup(response.content, "html.parser") movies soup.find_all("div", class_"movie-item") for movie in movies: title movie.find("h3", class_"movie-title").text.strip() rating movie.find("span", class_"movie-rating").text.strip() print(f"Title: {title}, Rating: {rating}")else: print("Failed to fetch movie data.")Dynamic content may require interacting with elements like dropdowns or filters using Selenium. For large-scale scraping, using a combination of API calls and browser automation can improve efficiency. How do you deal with anti-scraping measures on streaming sites?

General Web Scraping

How can you extract movie titles and ratings from a streaming site?

Posted by Mary Drusus on 12/18/2024 at 8:10 am
Streaming sites often display structured data for movies, including titles, ratings, genres, and descriptions. Scraping these details requires inspecting the HTML layout to identify where the titles and ratings are stored. For static pages, BeautifulSoup is ideal for extracting this data, while dynamic pages may require Selenium or Puppeteer to load JavaScript content. Additionally, some streaming sites embed movie details in JSON or as part of their API, which can simplify data extraction if accessible.
Here’s an example of scraping movie titles and ratings using BeautifulSoup:
```
import requests
from bs4 import BeautifulSoup
url = "https://example.com/movies"
headers = {"User-Agent": "Mozilla/5.0"}
response = requests.get(url, headers=headers)
if response.status_code == 200:
    soup = BeautifulSoup(response.content, "html.parser")
    movies = soup.find_all("div", class_="movie-item")
    for movie in movies:
        title = movie.find("h3", class_="movie-title").text.strip()
        rating = movie.find("span", class_="movie-rating").text.strip()
        print(f"Title: {title}, Rating: {rating}")
else:
    print("Failed to fetch movie data.")
```
Dynamic content may require interacting with elements like dropdowns or filters using Selenium. For large-scale scraping, using a combination of API calls and browser automation can improve efficiency. How do you deal with anti-scraping measures on streaming sites?
Mary Drusus replied 4 days, 11 hours ago 1 Member · 0 Replies
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