I’m working on a project where we use Airtable’s REST APIs to handle our staff info. I just found out there’s a limit of 5 requests per second for each base. That’s not gonna cut it for us.
I’m wondering if anyone knows how to bump up this limit. Does upgrading to a fancy plan like Pro or Enterprise help? Or is there some secret trick to get more requests?
Our team’s getting bigger, and we need to scale up our API usage. Any ideas would be super helpful!
I’ve been down this road before, and unfortunately, there’s no way to increase Airtable’s 5 requests per second limit. It’s a hard cap across all plans, even Enterprise. However, don’t lose hope! There are workarounds.
First, look into batching requests. You can update up to 10 records in a single API call, effectively processing 50 records per second. This might solve your scaling issue.
If that’s not enough, consider implementing a queue system. Instead of making API calls directly, queue your requests and process them at the rate limit. This ensures you’re always utilizing the full 5 requests per second without overloading.
Lastly, caching frequently accessed data can significantly reduce your API calls. It’s an extra step, but it can make a world of difference in managing within the limits.
hey there! sadly, airtable’s 5 req/sec limit is set in stone, even for fancy plans. but don’t worry! you can try batching requests (10 records per call) or set up a queue system to maximize those 5 req/sec. caching data helps too. these tricks should help ya scale without hittin the limit!
As someone who’s dealt with Airtable’s API limits extensively, I can tell you that increasing the 5 requests/second limit isn’t possible, even with higher-tier plans. However, don’t let that discourage you! There are ways to work around it.
One strategy that’s worked well for me is implementing a queue system. Essentially, you buffer your requests and process them at the rate limit. This ensures you’re always utilizing the full capacity without overloading.
Another approach is to leverage caching. By storing frequently accessed data locally, you can significantly reduce the number of API calls needed. It takes some initial setup, but the payoff in performance is substantial.
Lastly, don’t underestimate the power of batching. You can update multiple records in a single API call, which can be a game-changer for efficiency.
Remember, while the per-second limit is fixed, higher-tier plans do offer larger monthly API call allowances. If you’re consistently hitting limits, it might be worth considering an upgrade for that extra breathing room.