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How to scrape movie titles and links on YesMovies.org (unblocked) using Python?
Scraping movie titles and links from YesMovies.org (unblocked) can help gather data for personal use, such as creating a watchlist or analyzing trends. However, given that sites like YesMovies often employ anti-scraping measures and dynamic JavaScript content rendering, Python with Selenium is a reliable choice for handling these challenges. Start by analyzing the page structure to locate the classes or IDs that house the movie titles and links. Selenium can automate interactions like scrolling or clicking to ensure all content is loaded before scraping.Here’s an example of using Selenium to scrape movie titles and links:
from selenium import webdriver from selenium.webdriver.common.by import By # Initialize the WebDriver driver = webdriver.Chrome() driver.get("https://example.com/movies") # Wait for the page to load driver.implicitly_wait(10) # Extract movie titles and links movies = driver.find_elements(By.CLASS_NAME, "movie-item") for movie in movies: title = movie.find_element(By.CLASS_NAME, "movie-title").text.strip() link = movie.find_element(By.TAG_NAME, "a").get_attribute("href") print(f"Title: {title}, Link: {link}") # Close the browser driver.quit()For sites with infinite scrolling or pagination, Selenium’s scrolling functions or automated navigation can help load additional content dynamically. Ensure you comply with legal and ethical guidelines when scraping. How do you handle CAPTCHA challenges that might appear during scraping?
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6 Replies
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I regularly update the bot by testing it on the target websites. Using flexible selectors, like XPath based on attributes, makes the bot adaptable to minor changes.
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Implementing error handling and retries ensures the scraper doesn’t fail entirely when a single request or element retrieval encounters an issue.
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To handle CAPTCHAs, I integrate third-party solving services like 2Captcha, though I aim to avoid triggering CAPTCHAs by reducing request frequency and mimicking real user behavior.
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I use Selenium’s ActionChains to simulate user interactions, like mouse movements and clicks, which help avoid detection and prevent CAPTCHA challenges from appearing.
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Implementing proxy rotation and adding randomized delays between interactions reduces the likelihood of being flagged, ensuring smoother scraping sessions.
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For sites with strict anti-scraping measures, I monitor network requests to identify potential API endpoints, which often provide the same data in a simpler, JSON format.
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