How to fetch YouTube comments for multiple video IDs using YouTube API v3 through RapidAPI

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1 
import requests
import json

api_endpoint = "https://youtube-v31.p.rapidapi.com/commentThreads"

params = {
    "maxResults": "50",
    "videoId": "insert_video_id_here",
    "part": "snippet"
}

api_headers = {
    'x-rapidapi-key': "your_api_key_here",
    'x-rapidapi-host': "youtube-v31.p.rapidapi.com"
}

api_response = requests.get(api_endpoint, headers=api_headers, params=params)
print(api_response.json())

I’m building a comment analysis tool and need to extract comments from YouTube videos using the RapidAPI service. My current setup works fine when I manually enter a single video ID, but I have hundreds of video IDs stored in a list that I need to process. Right now I have to run the script separately for each video which takes forever. Is there a way to modify my code so it can loop through multiple video IDs automatically and collect all comments from each video? I tried passing an array of IDs but the API seems to only accept one video ID per request. What’s the best approach to handle batch processing for this scenario?

2

yep, just run a loop over your video IDs. and good idea on the sleep function, helps keep you under the api limit! hope you ace your tool!

3

Looping works, but hundreds of API calls get messy quick. You’ll hit rate limits, deal with failed requests, and constantly babysit everything.

I skip writing custom retry logic and just automate these batch jobs instead. Feed in your video IDs, hook up the YouTube API, add smart retry handling, and let it run in the background.

Best part? Schedule it overnight or during downtime. Built-in error handling plus easy export to whatever format your analysis tool needs.

I’ve automated tons of API batch jobs like this. Way cleaner than managing loops and timeouts yourself.

Latenode’s great for this kind of workflow: https://latenode.com

4

Yeah, the API only takes one video ID at a time, so you’ll have to loop through your list. Here’s what I do:

video_ids = ['id1', 'id2', 'id3']  # your list of IDs
all_comments = {}

for video_id in video_ids:
    params['videoId'] = video_id
    try:
        response = requests.get(api_endpoint, headers=api_headers, params=params)
        if response.status_code == 200:
            all_comments[video_id] = response.json()
        time.sleep(1)  # rate limiting
    except Exception as e:
        print(f"Failed for {video_id}: {e}")
        continue

Don’t forget error handling - some videos have disabled comments or are private. Also save your progress to a file every so often. Trust me, with hundreds of videos, you don’t want to start over if something crashes.

5

Hit this exact issue last year with gaming videos. Basic loops work but get messy fast with pagination - popular videos can have thousands of comments across multiple pages. You’ll need to handle the nextPageToken to grab everything, not just the first 50.

FYI, RapidAPI’s rate limits are way more restrictive than going direct through Google’s API. Use exponential backoff instead of fixed sleep times - helps when popular videos temporarily max out quotas.

Don’t keep everything in memory. Save to a database or CSV as you go. With hundreds of videos, you need persistence or you’ll lose everything if something crashes halfway through.