How many request calls can an API integration make per second to the Jet.com Rest APIs?
I could not find anything in their documentation on burst size and leak rate(in requests/sec) .
As per the Jet Developer team , there isn't any limits on the number of API calls made
There is no API calling limits or throttling in jet.com.
In their later updates , it can be possibility that throtlling will be added.
However, jet.com api is now stable but sometimes it takes long time to update in bulk.
Related
During our implementation, our implementation partner said that Workday can only handle 10 calls per second and drops any beyond that. Has anyone had the issue and is there a way around it. We have a number of systems that want to use API integrations but we have avoided it due to this problem.
If you have access to the documentation, you can find the limits for RaaS/REST/SOAP here: Reference: Integrations and Web Service Limits
We use the REST API to check the last 20 transactions for a specific user
What is the max number of requests per seconds we can make using the Elrond REST API ?
The rate limits for the official api aren't known as far as I'm aware.
If you plan to have a lot of requests each second you might want to consider setting up your own observer squad and api so you can be independent from the elrond infrastructure. This not only gives you greater control over the response times (and downtimes), but you will also reduce the load on the official servers so others won't be affected by the amount of requests you make.
I am working on one product which is fetching all the organization/workspace and app details of the customer. The customer can refresh them any time.
So let’s say I have one customer who has 100 applications across multiple workspaces so around it is making around 110 calls to get each application detail, workspace details and organizations.
Now if that customer refreshed the applications multiple times like 10 times in an hour so the action only for that is 1000 API calls. If I have 50 such users active and doing this thing then it will be something 50000.
AFAIK I can not make so many API calls in an hour so how to handle this scenario. I know a lot of applications are doing such things so want to understand how everyone is handling this.
If you need a higher rate limit, I would encourage you to contact Podio support and ask specifically for what you need. We have internal guidelines for evaluating these kinds of requests and may increase the limit for your user and client ID if appropriate.
In general, though, I would expect your app to implement some kind of batching, transient storage, and/or caching layers, especially if your customers are interacting with Podio exclusively or primarily through your system.
Please see our official statement here: https://developers.podio.com/index/limits
Summary:
The general limit is 5,000 API calls per hour, but if the API call is marked as "Rate limited" in the API reference the call is deemed resource intensive and a lower rate of 1000 calls per hour is enforced. If you hit the rate limits the API will begin returning 420 HTTP error codes for all API calls. Rate limits are per user per API key.
Contacting support:
If you have a project that requires a higher rate limit contact support#podio.com with a brief description of your project, your estimated usage and the client_id of the API key you are using.
Usage tips:
Tips for reducing API usage
Avoid making API requests inside loops. Instead of fetching individual objects inside a loop, fetch a collection of objects in one API operation. E.g. filter items
Cache results whenever possible. This is especially true when you are displaying data to the public (i.e. every sees the same output).
Don't poll for changes. Instead of polling Podio to see if your content has changed use webhooks or push to receive a notification. This might save you thousands of requests: https://developers.podio.com/doc/hooks
Use logging to see how many requests you're making
Bundle responses with "fields" parameter
You might want to build an API proxy app; you would need a messaging queue and a rate limiter. This would lets you keep track of the api calls consumptions across apps and users.
Also worth noting: some API routes are more expensive than others if they are more resource intensive on the Podio side… The term in use is rate-limited: rate limited api route are bound to 1k calls an hours, so in effect costs 5 times as much as regular routes.
Hope this helps!
I read that wikipedia's API is called MediaWiki. My question is regarding this API. Does this API have a maximum of calls per day/ hours / minutes ? I can't seem to find it.
See the wikimedia REST API "Terms and Conditions" for the latest rate limits (200 requests per second in 2022). What do you plan to do with the Wikipedia API?
They state some API:Etiquette and API:FAQ.
There is no hard and fast limit on read requests, but we ask that you
be considerate and try not to take a site down. Most sysadmins reserve
the right to unceremoniously block you if you do endanger the
stability of their site.
If you make your requests in series rather than in parallel (i.e. wait
for the one request to finish before sending a new request, such that
you're never making more than one request at the same time), then you
should definitely be fine. Also try to combine things into one request where you can (e.g. use multiple titles in a titles parameter instead of making a new request for each title
API FAQ states you can retrieve 50 pages per API request.
You can use Data Dumps as well if you need content offline (likely a little outdated).
For a graceful termination of your script in case you hit any of the limits, you can handle errors & warnings in API calls using these status messages.
If there is no need of a "live sample", it would be better to use a data-dump.
I've been using LinkedIn API in my application and I noticed that the call count for profile requests in LinkedIn dashboard is significantly higher than the amount of calls I'm doing (something like 10 times the amount of calls I've been doing).
I'm using bulk calls and field selectors.
Did anyone else have such experience? Any idea why this happens?
From the Throttle Limits documentation:
Note: Bulk requests are throttled as if you make multiple individual requests, so they provide efficiency, not extra information.
So each part of your bulk requests counts as one request.
But without knowing what exactly you are doing, there's no chance to say if this really is the reason for what you experience.