import requests
import pandas as pd
def fetch_comments(video_ids):
base_url = 'https://video-comments-api.example.com/threads'
api_key = 'your_api_key_here'
all_comments = []
for vid in video_ids:
params = {
'max_results': 100,
'video_id': vid,
'part': 'comment_details'
}
headers = {
'api-key': api_key,
'host': 'video-comments-api.example.com'
}
response = requests.get(base_url, headers=headers, params=params)
if response.status_code == 200:
comments = response.json()
all_comments.extend(comments)
else:
print(f'Error fetching comments for video {vid}')
return all_comments
# Example usage
video_list = ['abc123', 'def456', 'ghi789']
results = fetch_comments(video_list)
I’m trying to build a dataset of video comments. Right now I can get comments for one video at a time using an API, but I have a large list of video IDs and don’t want to process them one by one. Is there a way to pass multiple video IDs to the API at once, or maybe loop through a list of IDs in a more efficient manner? Any suggestions would be greatly appreciated.
I’ve dealt with similar API challenges before. While your current approach works, it’s not optimal for large datasets. Consider implementing a batching mechanism where you group multiple video IDs into a single API request, if the API supports it. This can significantly reduce the number of API calls and improve efficiency.
If batching isn’t supported, you might want to look into asynchronous programming using libraries like aiohttp. This allows you to make multiple API requests concurrently, greatly speeding up the process.
Remember to implement proper error handling and respect API rate limits to avoid issues. You might also want to add a progress tracker to monitor the data collection process, especially for large video lists.
Lastly, consider caching results to avoid redundant API calls if you’re likely to request the same video comments multiple times.
hey mate, have u tried using asyncio? it’s pretty sweet for this kinda stuff. u can make async requests and process multiple videos at once. just wrap ur api calls in coroutines and use asyncio.gather() to run em all. might need to tweak ur code a bit, but it’ll be way faster than what ur doing now
I’ve encountered a similar challenge before. In my experience, switching from a sequential approach to one that uses concurrent requests can significantly improve performance when processing a large list of video IDs. Instead of fetching comments one by one, you can define a dedicated function for retrieving comments from a single video and then execute those functions concurrently using Python’s ThreadPoolExecutor. This method speeds things up considerably, though you should be cautious about rate limits by possibly including delays or semaphore controls. Also, check if the API supports batch requests for an even more efficient solution.