https://github.com/sean2077/jsonpath-python
A more powerful JSONPath implementations in modern python.
https://github.com/sean2077/jsonpath-python
json jsonpath-syntax
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A more powerful JSONPath implementations in modern python.
- Host: GitHub
- URL: https://github.com/sean2077/jsonpath-python
- Owner: sean2077
- License: mit
- Created: 2020-12-25T06:06:45.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2022-03-14T02:34:50.000Z (almost 4 years ago)
- Last Synced: 2025-04-20T03:04:47.955Z (9 months ago)
- Topics: json, jsonpath-syntax
- Language: Python
- Homepage:
- Size: 73.2 KB
- Stars: 37
- Watchers: 2
- Forks: 6
- Open Issues: 9
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
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README
# jsonpath-python
[](https://github.com/sean2077/jsonpath-python/actions/workflows/ci.yml)
[](https://codecov.io/gh/sean2077/jsonpath-python)
[](https://badge.fury.io/py/jsonpath-python)
[](https://pypi.org/project/jsonpath-python/)
[](https://github.com/sean2077/jsonpath-python/blob/main/LICENSE)
A lightweight and powerful JSONPath implementation for Python.
## Why jsonpath-python?
There are already several JSONPath libraries in Python, so why choose this one?
1. **Lightweight & Zero Dependency**: Unlike `jsonpath-ng` which relies on complex AST parsing frameworks like `ply`, `jsonpath-python` is implemented with pure Python string parsing. It has **zero third-party dependencies**, making it incredibly easy to integrate into any environment.
2. **Simple & Pythonic**: The implementation is straightforward and linear. If you encounter a bug or need to extend it, the code is easy to read and modify. You can even copy the core file directly into your project as a utility.
3. **Powerful Features**: It supports advanced features like **sorting**, **filtering**, and **updating** JSON data. If you require strict adherence to the JSONPath standard (RFC 9535), other libraries might be more suitable, but for practical data manipulation, this library offers more power.
## Features
- [x] **Light. (No need to install third-party dependencies.)**
- [x] **Support filter operator, including multi-selection, inverse-selection filtering.**
- [x] **Support sorter operator, including sorting by multiple fields, ascending and descending order.**
- [x] **Support updating JSON data using JSONPath expressions.**
- [x] Support basic semantics of JSONPath.
- [x] Support output modes: VALUE, PATH.
- [x] Support regex filter (`=~`).
## Installation
```bash
pip install jsonpath-python
# import
>>> from jsonpath import JSONPath
```
## JSONPath Syntax
The JSONPath syntax in this project borrows from [JSONPath - XPath for JSON](http://goessner.net/articles/JSONPath/) and is **modified** and **extended** on it.
### Operators
| Operator | Description |
| ---------------- | ---------------------------------------------------------------------------- |
| `$` | the root object/element |
| `@` | the current object/element |
| `.` or `[]` | child operator |
| `..` | recursive descent |
| `*` | wildcard |
| `''` | (Experimental) wrap field with special character: dots(`.`) and space (` `). |
| `start:end:step` | array slice operator (It's same as the slice in python) |
| `?()` | applies a filter expression |
| `/()` | applies a sorter expression |
| `()` | applies a field-extractor expression |
### Examples
Before running the following example, please import this module and the example data:
```python
>>> from jsonpath import JSONPath
# For the data used in the following example, please refer to the Appendix part.
```
#### Select Fields
Select a field:
```python
>>> JSONPath("$.book").parse(data)
[[{'category': 'reference', 'author': 'Nigel Rees', 'title': 'Sayings of the Century', 'price': 8.95, 'brand': {'version': 'v1.0.0'}}, {'category': 'fiction', 'author': 'Evelyn Waugh', 'title': 'Sword of Honour', 'price': 12.99, 'brand': {'version': 'v0.0.1'}}, {'category': 'fiction', 'author': 'Herman Melville', 'title': 'Moby Dick', 'isbn': '0-553-21311-3', 'price': 8.99, 'brand': {'version': 'v1.0.2'}}, {'category': 'fiction', 'author': 'J. R. R. Tolkien', 'title': 'The Lord of the Rings', 'isbn': '0-395-19395-8', 'price': 22.99, 'brand': {'version': 'v1.0.3'}}]]
>>> JSONPath("$[book]").parse(data)
[[{'category': 'reference', 'author': 'Nigel Rees', 'title': 'Sayings of the Century', 'price': 8.95, 'brand': {'version': 'v1.0.0'}}, {'category': 'fiction', 'author': 'Evelyn Waugh', 'title': 'Sword of Honour', 'price': 12.99, 'brand': {'version': 'v0.0.1'}}, {'category': 'fiction', 'author': 'Herman Melville', 'title': 'Moby Dick', 'isbn': '0-553-21311-3', 'price': 8.99, 'brand': {'version': 'v1.0.2'}}, {'category': 'fiction', 'author': 'J. R. R. Tolkien', 'title': 'The Lord of the Rings', 'isbn': '0-395-19395-8', 'price': 22.99, 'brand': {'version': 'v1.0.3'}}]]
```
(**Experimental**) Select a field with special character: dots(`.`) and space (` `).
```python
>>> JSONPath("$.'a.b c'").parse(data)
['a.b c']
>>> JSONPath("$['a.b c']").parse(data)
['a.b c']
```
Select multiple fields:
```python
>>> JSONPath("$[bicycle,scores]").parse(data)
[{'color': 'red', 'price': 19.95}, {'math': {'score': 100, 'avg': 60}, 'english': {'score': 95, 'avg': 80}, 'physic': {'score': 90, 'avg': 70}, 'chemistry': {'score': 85, 'avg': 80}, 'chinese': {'score': 60, 'avg': 75}}]
```
Select all fields using wildcard `*`:
```python
>>> JSONPath("$.*").parse(data)
['a.b c', [{'category': 'reference', 'author': 'Nigel Rees', 'title': 'Sayings of the Century', 'price': 8.95, 'brand': {'version': 'v1.0.0'}}, {'category': 'fiction', 'author': 'Evelyn Waugh', 'title': 'Sword of Honour', 'price': 12.99, 'brand': {'version': 'v0.0.1'}}, {'category': 'fiction', 'author': 'Herman Melville', 'title': 'Moby Dick', 'isbn': '0-553-21311-3', 'price': 8.99, 'brand': {'version': 'v1.0.2'}}, {'category': 'fiction', 'author': 'J. R. R. Tolkien', 'title': 'The Lord of the Rings', 'isbn': '0-395-19395-8', 'price': 22.99, 'brand': {'version': 'v1.0.3'}}], {'color': 'red', 'price': 19.95}, {'math': {'score': 100, 'avg': 60}, 'english': {'score': 95, 'avg': 80}, 'physic': {'score': 90, 'avg': 70}, 'chemistry': {'score': 85, 'avg': 80}, 'chinese': {'score': 60, 'avg': 75}}]
```
#### Recursive Descent
```python
>>> JSONPath("$..price").parse(data)
[8.95, 12.99, 8.99, 22.99, 19.95]
```
#### Slice
Support python-like slice.
```python
>>> JSONPath("$.book[1:3]").parse(data)
[{'category': 'fiction', 'author': 'Evelyn Waugh', 'title': 'Sword of Honour', 'price': 12.99, 'brand': {'version': 'v0.0.1'}}, {'category': 'fiction', 'author': 'Herman Melville', 'title': 'Moby Dick', 'isbn': '0-553-21311-3', 'price': 8.99, 'brand': {'version': 'v1.0.2'}}]
>>> JSONPath("$.book[1:-1]").parse(data)
[{'category': 'fiction', 'author': 'Evelyn Waugh', 'title': 'Sword of Honour', 'price': 12.99, 'brand': {'version': 'v0.0.1'}}, {'category': 'fiction', 'author': 'Herman Melville', 'title': 'Moby Dick', 'isbn': '0-553-21311-3', 'price': 8.99, 'brand': {'version': 'v1.0.2'}}]
>>> JSONPath("$.book[0:-1:2]").parse(data)
[{'category': 'reference', 'author': 'Nigel Rees', 'title': 'Sayings of the Century', 'price': 8.95, 'brand': {'version': 'v1.0.0'}}, {'category': 'fiction', 'author': 'Herman Melville', 'title': 'Moby Dick', 'isbn': '0-553-21311-3', 'price': 8.99, 'brand': {'version': 'v1.0.2'}}]
>>> JSONPath("$.book[-1:1]").parse(data)
[]
>>> JSONPath("$.book[-1:-11:3]").parse(data)
[]
>>> JSONPath("$.book[:]").parse(data)
[{'category': 'reference', 'author': 'Nigel Rees', 'title': 'Sayings of the Century', 'price': 8.95, 'brand': {'version': 'v1.0.0'}}, {'category': 'fiction', 'author': 'Evelyn Waugh', 'title': 'Sword of Honour', 'price': 12.99, 'brand': {'version': 'v0.0.1'}}, {'category': 'fiction', 'author': 'Herman Melville', 'title': 'Moby Dick', 'isbn': '0-553-21311-3', 'price': 8.99, 'brand': {'version': 'v1.0.2'}}, {'category': 'fiction', 'author': 'J. R. R. Tolkien', 'title': 'The Lord of the Rings', 'isbn': '0-395-19395-8', 'price': 22.99, 'brand': {'version': 'v1.0.3'}}]
>>> JSONPath("$.book[::-1]").parse(data)
[{'category': 'fiction', 'author': 'J. R. R. Tolkien', 'title': 'The Lord of the Rings', 'isbn': '0-395-19395-8', 'price': 22.99, 'brand': {'version': 'v1.0.3'}}, {'category': 'fiction', 'author': 'Herman Melville', 'title': 'Moby Dick', 'isbn': '0-553-21311-3', 'price': 8.99, 'brand': {'version': 'v1.0.2'}}, {'category': 'fiction', 'author': 'Evelyn Waugh', 'title': 'Sword of Honour', 'price': 12.99, 'brand': {'version': 'v0.0.1'}}, {'category': 'reference', 'author': 'Nigel Rees', 'title': 'Sayings of the Century', 'price': 8.95, 'brand': {'version': 'v1.0.0'}}]
```
#### Filter Expression
Support all python comparison operators (`==`, `!=`, `<`, `>`, `>=`, `<=`), python membership operators (`in`, `not in`), python logical operators (`and`, `or`, `not`).
```python
>>> JSONPath("$.book[?(@.price>8 and @.price<9)].price").parse(data)
[8.95, 8.99]
>>> JSONPath('$.book[?(@.category=="reference")].category').parse(data)
['reference']
>>> JSONPath('$.book[?(@.category!="reference" and @.price<9)].title').parse(data)
['Moby Dick']
>>> JSONPath('$.book[?(@.author=="Herman Melville" or @.author=="Evelyn Waugh")].author').parse(data)
['Evelyn Waugh', 'Herman Melville']
>>> JSONPath('$.book[?(@.title =~ /.*Century/)]').parse(data)
[{'category': 'reference', 'author': 'Nigel Rees', 'title': 'Sayings of the Century', 'price': 8.95, 'brand': {'version': 'v1.0.0'}}]
```
`Note`: You must use double quote(`""`) instead of single quote(`''`) to wrap the compared string, because single quote(`''`) has another usage in this JSONPath syntax .
#### Sorter Expression
Support sorting by multiple fields (using operator `,`) and reverse sort (using operator `~`).
```python
>>> JSONPath("$.book[/(price)].price").parse(data)
[8.95, 8.99, 12.99, 22.99]
>>> JSONPath("$.book[/(~price)].price").parse(data)
[22.99, 12.99, 8.99, 8.95]
>>> JSONPath("$.book[/(category,price)].price").parse(data)
[8.99, 12.99, 22.99, 8.95]
>>> JSONPath("$.book[/(brand.version)].brand.version").parse(data)
['v0.0.1', 'v1.0.0', 'v1.0.2', 'v1.0.3']
>>> JSONPath("$.scores[/(score)].score").parse(data)
[60, 85, 90, 95, 100]
```
#### Field-Extractor Expression
Using `(field1,field2,…,filedn)` after a dict object to extract its fields.
```python
>>> JSONPath("$.scores[/(score)].(score)").parse(data)
[{'score': 60}, {'score': 85}, {'score': 90}, {'score': 95}, {'score': 100}]
>>> JSONPath("$.book[/(category,price)].(title,price)").parse(data)
[{'title': 'Moby Dick', 'price': 8.99}, {'title': 'Sword of Honour', 'price': 12.99}, {'title': 'The Lord of the Rings', 'price': 22.99}, {'title': 'Sayings of the Century', 'price': 8.95}]
```
#### Update Data
Update values in the JSON object using the `update` method.
```python
# Update with a static value
>>> JSONPath("$.book[*].price").update(data, 100)
# Result: All book prices are set to 100
# Update with a function (e.g., apply a discount)
>>> JSONPath("$.book[*].price").update(data, lambda x: x * 0.9)
# Result: All book prices are multiplied by 0.9
```
### Appendix: Example JSON data:
```python
data = {
"a.b c": "a.b c",
"book": [
{
"category": "reference",
"author": "Nigel Rees",
"title": "Sayings of the Century",
"price": 8.95,
"brand": {
"version": "v1.0.0"
}
},
{
"category": "fiction",
"author": "Evelyn Waugh",
"title": "Sword of Honour",
"price": 12.99,
"brand": {
"version": "v0.0.1"
}
},
{
"category": "fiction",
"author": "Herman Melville",
"title": "Moby Dick",
"isbn": "0-553-21311-3",
"price": 8.99,
"brand": {
"version": "v1.0.2"
}
},
{
"category": "fiction",
"author": "J. R. R. Tolkien",
"title": "The Lord of the Rings",
"isbn": "0-395-19395-8",
"price": 22.99,
"brand": {
"version": "v1.0.3"
}
}
],
"bicycle": {
"color": "red",
"price": 19.95
},
"scores": {
"math": {
"score": 100,
"avg": 60
},
"english": {
"score": 95,
"avg": 80
},
"physic": {
"score": 90,
"avg": 70
},
"chemistry": {
"score": 85,
"avg": 80
},
"chinese": {
"score": 60,
"avg": 75
}
}
}
```