Dev
Mock GraphQL Query Generator
Every GraphQL developer writes the same scaffolding repeatedly: a query with a variable, field selection, a mutation with input type and return fields. A mock GraphQL query generator automates this for eight entity types — User, Post, Product, Order, Comment, Category, Review, Invoice — producing correct operations with typed variables and realistic field selections in seconds. The `type` input controls output: 'query' produces either a single-item lookup or a paginated list query, chosen randomly. 'mutation' produces either a create or update mutation, randomly. 'both' generates a mix up to the count. The `count` input generates 1 to 10 operations. Each entity has a specific field pool — User selects from id, name, email, role, createdAt, isActive; Product from id, name, price, sku, stock, categoryId; Invoice from amount, status, dueDate, currency.
How to use
- Choose your options above
- Click Generate
- Copy your result
Detailed instructions
- Set the count input to how many operations you want, between 1 and 10, based on your testing needs.
- Choose an operation type: select 'query' for read-only fetches, 'mutation' for write operations, or 'both' to get a mixed batch.
- Click Generate to produce the GraphQL operations, then review the output in the results panel.
- Copy individual operations or the full list and paste them into your GraphQL client, test file, or mock server handler.
- Edit field names, variable types, and arguments to match your actual schema before running them against a live endpoint.
Use Cases
- •Seeding Apollo Studio with ready-to-run query and mutation operations for a new API surface
- •Generating Jest or Vitest resolver fixtures covering create, update, and delete flows
- •Scaffolding urql or Apollo Client hooks before the backend schema is finalized
- •Populating MSW handlers with realistic GraphQL operation shapes for browser and Node mocks
- •Documenting a new API in a README with concrete query and mutation examples developers can copy
Tips
- →Generate 'both' types and use the query as the read-back step to verify data after running the mutation in your test.
- →Paste the output into Apollo Studio's sandbox with schema introspection enabled to instantly see which fields need renaming.
- →When scaffolding MSW handlers, generate five or six operations at once to cover multiple entity types and reduce repetitive handler setup.
- →For teaching purposes, generate one query and one mutation side by side so learners can see the structural difference directly.
- →Mutations are most useful as fixtures when you strip them down to the minimal field selection you actually assert on in the test.
- →If your schema uses custom scalar types like `DateTime` or `UUID`, search the generated output for `String` or `ID` and replace them accordingly.
FAQ
can I paste these generated graphql queries directly into my project
Yes, as starting points. Operations use realistic conventions — named operations, typed variable definitions, field selection sets — so you typically only need to align field names and scalar types with your actual schema. Run introspection in Apollo Studio or open your schema's documentation tab to verify compatibility before wiring anything into production code.
how do I test graphql queries without a running backend
MSW (Mock Service Worker) lets you intercept GraphQL requests in the browser or Node and return hardcoded data — paste generated operations directly into your handler definitions and match by operation name. For a lightweight local server, json-graphql-server spins up a GraphQL API from a JSON file in one command, no schema writing required.
what is the difference between a graphql query and a mutation
Queries are read-only and can be cached or parallelized. Mutations are write operations that create, update, or delete data and are executed sequentially. GraphQL keeps them syntactically distinct so clients and servers can make safe assumptions about side effects. The Operation Type selector controls whether the generator outputs queries, mutations, or a mix of both.
which entities and fields can the generator produce operations for
The generator covers eight entity types: User, Post, Product, Order, Comment, Category, Review, and Invoice. Each entity has a dedicated field pool — Product has price, sku, stock, categoryId; Invoice has amount, status, dueDate, customerId, currency; Comment has body, authorId, postId, likes. Each generated operation selects a random subset of 3–6 fields from the appropriate pool.
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