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When we run the above query twice in quick succession, for example with getting the first 30 products followed by the next 30 products, the API response is something like this:This is because we’ve used up about 700 points of our 1,000 point bucket, and we must wait until there are enough points available to make our next request, at a refill rate of 50 points per second.For stores where we needed to retrieve more than 24 metafields, the benefit of GraphQL was lost due to throttling, and in fact, the REST API was quicker. Join for free and access educational resources, developer preview environments, and recurring revenue share opportunities.For a Shopify store with 100 products and 400 variants, retrieving 25 results per page, we found the following data sync times versus the REST API approach, which if you remember took around 4 minutes (or 240 seconds):Taking a couple of real customer stores with over 10,000 products and more than 10 metafields, we've reduced one Shopify Standard store’s full data sync time from three hours to just one hour, and a similar Shopify Plus store from one hour and 45 minutes, to just 35 minutes using this GraphQL approach.A GraphQL query to get the name and description of 50 products looks something like this:Let’s look at a best case query to retrieve as many products’ metafields as we can in one go, given that the generally accepted maximum number of records to retrieve via the Shopify APIs is 250:Tips and tricks for building Shopify AppsPricing and payments tips for your businessStay up to date with the recent changes to Shopify APIs and other developer products with our quarterly Developer Digest.That being said, it is not just a case of replacing your REST calls with a corresponding GraphQL call. In this article, we’d like to share how we did it, and the useful information we learned along the way.As we can see, despite the ability to retrieve metafields in bulk with GraphQL, it has still taken 38 seconds just to retrieve the 100 parent products’ metafields, and we still need to get the product variants.That means that even using this approach, it still takes around four minutes to retrieve the metafields of all 500 records, which is disappointingly similar to the time taken by the REST API.With this query, we can fetch the three specific metafields we need, 50 products at a time.Get design inspiration, development tips, and practical takeaways delivered straight to your inbox.The most efficient GraphQL query we found was to only request these specific metafields and ensure that we are only retrieving data we absolutely need. However, the query cost is also high, so you get throttled even more.In other words, we need to reduce the number of records we are requesting:As a result, we opted to always request 25 products per page.Unfortunately, it’s not quite that simple. However, you get less data returned with each request. We initially struggled with metafields, but found with some careful query creation and resource management, GraphQL can be used to fetch product metafield data much faster than with REST. Shop URL . This means that the total cost of your queries cannot exceed 1,000 points.”Providing our store has 30 metafields or less, we can efficiently retrieve those values 30 products at a time, whereas with the REST API, we could only retrieve one product at a time.Everything you need to push creative boundariesYour guide to the world of affiliate marketingYour guide to Liquid and theme developmentDue to this query cost and throttling, we found that the common sense thinking that “more products in one go will be faster” is not necessarily correct. GraphQL examples for customers Example GraphQL queries and mutations for working with customers. What is GraphQL? Shopify and GraphQL GraphQL has become Shopify's technology of choice for building APIs.