mikeckennedy · May 23, 2023 04:27 · May 23, 2023
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+**MK**: _Write a python function to use requests and beautiful soup to scrape the titles of episodes of talk python to me_
+
+**ChatGPT**: Sure, here's a basic example of how you might use `requests` and `BeautifulSoup` to scrape the titles of episodes of Talk Python to Me. This code assumes that the titles are stored in HTML elements in a specific way. You may need to adjust the code based on the actual structure of the web page.
+
+```python
+import requests
+from bs4 import BeautifulSoup
+
+def get_episode_titles():
+    url = 'https://talkpython.fm/episodes/all' # replace with the actual URL
+
+    response = requests.get(url)
+    response.raise_for_status()  # ensure we notice bad responses
+
+    soup = BeautifulSoup(response.text, 'html.parser')
+
+    # You may need to adjust the selector based on the actual structure of the page.
+    # This example assumes that each episode title is in a 'h1' tag with a class 'title'.
+    title_tags = soup.select('h1.title') 
+
+    for tag in title_tags:
+        print(tag.get_text())
+
+get_episode_titles()
+```
+
+This script will print out the titles of the episodes. If you want to return them as a list, you can replace the print statement with `titles.append(tag.get_text())` and initialize `titles = []` before the loop, then return `titles` at the end of the function. 
+
+Again, please note that you will need to adjust the CSS selector ('h1.title' in this case) to match the actual structure of the web page you are scraping. You can inspect the web page's source code to figure out how the titles are structured. 
+
+Also, be aware that websites' terms of service often have rules about web scraping, so make sure that what you're doing is allowed.
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