![]() ))įor the second option, we have an example on how to that in the “Size limits & rate limits” section of this guide: Airtable Blocks SDK as well as in the Wikipedia Enhancement example block. The time it takes for the write to complete (while you await) should be long enough that you wouldn’t need to include an additional timeout.įor the first option, it’d look like this: peopleHolidaysTable.createRecordsAsync(people.map(person =>. Read on to learn more about the basics of Webhooks API in Airtable. It looks like you’re using the Airtable. The Webhooks API allows developers to be notified in real-time about changes in their base that they care about, from newly created records to a field being updated in an existing record, to a record moving in or out of a view. ![]() ![]() You could also do what you suggested (split the calls and await each previous one). What are the limits The API has a limit of 5 requests per second, which is not high, but still reasonable to work with for most scenarios. What you’re looking for here is an offset value, so when the user clicks Show more photos a separate request is made to fetchNextPage() starting where the last request left off (e.g. You could switch your code to use the batch createRecordsAsync instead of createRecordAsync to get around this. Currently, this limit is 5 requests per second. This is useful if the API has CORS restrictions as these dont apply outside of the browser. The Airtable REST API limits the number of requests that can be sent on a per-base basis to avoid bottlenecks. remoteFetchAsync makes the request from Airtables servers instead of your browser. Since Airtable seems limited to only fetching 100 records at a time, this will need 10 requests, and I would assume that fetching them in quick succession could potentially hit the API limit of no more than 5 requests per second. Your current code looks like it does a separate API call for each person, so you’re running into the 15 writes per second limit. If using fetch normally doesnt work, you can try replacing it with remoteFetchAsync. We rate-limit blocks to 15 writes per second and batch methods allow modification of 50 records in one call.
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