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MIT 114 2 364
1.1 million (month) Dec 03 2013 1.8.8(7 months ago)
2,025 2 55 MIT
1.0.1(1 year, 8 months ago) Feb 09 2022 131.9 million (month)

A reasonably fast JSON parser and generator, optimized for statistical data and the web. Offers simple, flexible tools for working with JSON in R, and is particularly powerful for building pipelines and interacting with a web API.

In addition to converting JSON data from/to R objects, 'jsonlite' contains functions to stream, validate, and prettify JSON data. The unit tests included with the package verify that all edge cases are encoded and decoded consistently for use with dynamic data in systems and applications.

JMESPath (pronounced “james path”) allows you to declaratively specify how to extract elements from a JSON document.

In web scraping, jmespath is a powerful tool for parsing and reshaping large JSON datasets. Jmespath is fast and easily extendible following it's own powerful query language.

For more see the Json parsing introduction section.

Example Use


json <- '["Mario", "Peach", null, "Bowser"]'

# load json to dataframe/array/matrix (determined automatically)
import jmespath

data = {
    "data": {
        "info": {
            "products": [
                {"price": {"usd": 1}, "_type": "product", "id": "123"}, 
                {"price": {"usd": 2}, "_type": "product", "id": "345"}

# easily reshape nested dataset to flat structure:"[*].{id:id, price:price.usd}", data)
[{'id': '123', 'price': 1}, {'id': '345', 'price': 2}]

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