object-scanvsjmespath

MIT 16 8 182

134.2 thousand (month) Jun 10 2018 20.0.4(2025-12-10 19:58:29 ago)

2,424 3 63 MIT

Feb 09 2022 507.7 million (month) 1.1.0(2026-01-22 16:35:24 ago)

object-scan allows traversal of complex javascript objects to find specific keys.

In web scraping, it's useful for parsing large, nested JSON datasets for specific datafields. object-scan can be used to recursively find any key in any object structure: ```javascript import objectScan from 'object-scan';

const haystack = { a: { b: { c: 'd' }, e: { f: 'g' } } }; objectScan(['a.*.f'], { joined: true })(haystack); // => [ 'a.e.f' ] ```

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

```javascript const objectScan = require('object-scan'); const myNestedObject = { level1: { level2: { level3: { myTargetKey: 'value', }, }, }, }; const searchTerm = 'myTargetKey'; const result = objectScan([`**.${searchTerm}`], { joined: false })(myNestedObject); console.log(result); ```

```python 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: jmespath.search("data.info.products[*].{id:id, price:price.usd}", data) [{'id': '123', 'price': 1}, {'id': '345', 'price': 2}] ```

object-scanvsjmespath

Example Use

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