JSONPath Evaluator

Query JSON with JSONPath

JSONPath is to JSON what XPath is to XML — a string-based expression language for selecting nodes from a document. The expression $..user finds every user object at any depth. The expression$.users[?(@.age>18)] filters users by a condition. JSONPath was standardized in RFC 9535 in 2024, and Lintify uses the jsonpath-plus library which implements the standard syntax plus a few common extensions.

Type a path in the search bar at the top, paste your JSON in the input panel, and the output panel shows every match as a JSON array. JSONPath always returns a list — there is no concept of a single result in the spec — so even queries that match one node produce a one-element array.

Common JSONPath patterns

• $.store.book[0] — the first book in the store.
• $.store.book[-1] — the last book.
• $.store.book[0:2] — the first two books (slice notation).
• $..author — every author, at any depth.
• $.store.* — every direct child of store (books and bicycle).
• $..book[?(@.isbn)] — every book that has an isbn field.
• $..book[?(@.price < 10)] — every book cheaper than 10.
• $..* — every node in the document (use with care on large files).

Filters and the @ symbol

Filter expressions use the @ symbol to refer to the current node being evaluated. Inside a filter, you can compare fields of the current node with literal values or with other fields. Comparison operators (==,!=, <, >,<=, >=) and logical operators (&&, ||,!) are supported, as is a subset of JavaScript expression syntax.

When JSONPath is the right tool

JSONPath shines when you need to extract specific values from a large, deeply nested JSON document without writing a custom parser. It is commonly used for monitoring (selecting metrics from a complex response), for log analysis (pulling specific fields out of structured logs), and for one-off data extraction tasks. For production code, consider whether a proper JSON Schema validator or a typed deserializer would be more maintainable — JSONPath is great for ad-hoc queries, but it can become hard to read in larger expressions.