对于更复杂的JSON解析，我建议使用Python jsonpath模块(Stefan Goessner) -

Install it - sudo easy_install -U jsonpath Use it - Example file.json (from http://goessner.net/articles/JsonPath) - { "store": { "book": [ { "category": "reference", "author": "Nigel Rees", "title": "Sayings of the Century", "price": 8.95 }, { "category": "fiction", "author": "Evelyn Waugh", "title": "Sword of Honour", "price": 12.99 }, { "category": "fiction", "author": "Herman Melville", "title": "Moby Dick", "isbn": "0-553-21311-3", "price": 8.99 }, { "category": "fiction", "author": "J. R. R. Tolkien", "title": "The Lord of the Rings", "isbn": "0-395-19395-8", "price": 22.99 } ], "bicycle": { "color": "red", "price": 19.95 } } } Parse it (extract all book titles with price < 10) - cat file.json | python -c "import sys, json, jsonpath; print '\n'.join(jsonpath.jsonpath(json.load(sys.stdin), 'store.book[?(@.price < 10)].title'))" Will output - Sayings of the Century Moby Dick Note: The above command line does not include error checking. For a full solution with error checking, you should create a small Python script, and wrap the code with try-except.

对于更复杂的JSON解析，我建议使用Python jsonpath模块(Stefan Goessner) -

Install it - sudo easy_install -U jsonpath Use it - Example file.json (from http://goessner.net/articles/JsonPath) - { "store": { "book": [ { "category": "reference", "author": "Nigel Rees", "title": "Sayings of the Century", "price": 8.95 }, { "category": "fiction", "author": "Evelyn Waugh", "title": "Sword of Honour", "price": 12.99 }, { "category": "fiction", "author": "Herman Melville", "title": "Moby Dick", "isbn": "0-553-21311-3", "price": 8.99 }, { "category": "fiction", "author": "J. R. R. Tolkien", "title": "The Lord of the Rings", "isbn": "0-395-19395-8", "price": 22.99 } ], "bicycle": { "color": "red", "price": 19.95 } } } Parse it (extract all book titles with price < 10) - cat file.json | python -c "import sys, json, jsonpath; print '\n'.join(jsonpath.jsonpath(json.load(sys.stdin), 'store.book[?(@.price < 10)].title'))" Will output - Sayings of the Century Moby Dick Note: The above command line does not include error checking. For a full solution with error checking, you should create a small Python script, and wrap the code with try-except.

更新(2020)

我使用外部工具(例如Python)时遇到的最大问题是，你必须处理包管理器和安装它们的依赖关系。

然而，现在我们有了jq作为一个独立的静态工具，很容易通过GitHub发布和Webi (webinstall.dev/jq)跨平台安装，我建议:

Mac、Linux:

curl -sS https://webi.sh/jq | bash

Windows 10:

curl.exe -A MS https://webi.ms/jq | powershell

小抄:https://webinstall.dev/jq

原(2011)

TickTick是一个用bash编写的JSON解析器(不到250行代码)。

以下是作者在他的文章《想象一个Bash支持JSON的世界》中的片段:

#!/bin/bash
. ticktick.sh

``
  people = {
    "Writers": [
      "Rod Serling",
      "Charles Beaumont",
      "Richard Matheson"
    ],
    "Cast": {
      "Rod Serling": { "Episodes": 156 },
      "Martin Landau": { "Episodes": 2 },
      "William Shatner": { "Episodes": 2 }
    }
  }
``

function printDirectors() {
  echo "  The ``people.Directors.length()`` Directors are:"

  for director in ``people.Directors.items()``; do
    printf "    - %s\n" ${!director}
  done
}

`` people.Directors = [ "John Brahm", "Douglas Heyes" ] ``
printDirectors

newDirector="Lamont Johnson"
`` people.Directors.push($newDirector) ``
printDirectors

echo "Shifted: "``people.Directors.shift()``
printDirectors

echo "Popped: "``people.Directors.pop()``
printDirectors

有一个有趣的工具在现有的答案中还没有涉及到，那就是使用用Go编写的gron，它的口号是Make JSON可greppable!这正是它所做的。

所以从本质上讲，gron将JSON分解为离散的赋值，查看它的绝对“路径”。与jq等其他工具相比，它的主要优点是允许在不知道要搜索的记录是如何嵌套的情况下搜索值，而不会破坏原始的JSON结构

例如，我想从下面的链接搜索'twitter_username'字段，我只是这样做

% gron 'https://api.github.com/users/lambda' | fgrep 'twitter_username'
json.twitter_username = "unlambda";
% gron 'https://api.github.com/users/lambda' | fgrep 'twitter_username' | gron -u
{
  "twitter_username": "unlambda"
}

就这么简单。请注意gron -u (ungron的缩写)如何从搜索路径重新构造JSON。使用fgrep只是为了将搜索过滤到所需的路径，而不是让搜索表达式作为正则表达式计算，而是作为固定字符串(本质上是grep -F)

另一个搜索字符串以查看记录在嵌套结构中的位置的示例

% echo '{"foo":{"bar":{"zoo":{"moo":"fine"}}}}' | gron | fgrep "fine"
json.foo.bar.zoo.moo = "fine";

它还通过-s命令行标志支持JSON流，在这里您可以连续地对输入流进行gron以获得匹配的记录。此外，gron具有零运行时依赖性。你可以下载Linux、Mac、Windows或FreeBSD的二进制文件并运行它。

更多的用法示例和行程可以在官方Github页面-高级用法中找到

至于为什么可以使用gron而不是其他JSON解析工具，请参阅项目页面的作者注释。

为什么我不应该直接使用jq?

Jq非常棒，比gron强大得多，但这种强大带来了复杂性。Gron的目标是使您更容易使用您已经知道的工具，如grep和sed。

还有一个非常简单但功能强大的JSON CLI处理工具fx。

例子

使用匿名函数:

echo '{"key": "value"}' | fx "x => x.key"

输出:

value

如果你不传递匿名函数参数→…，代码将自动转换为匿名函数。你可以通过这个关键字访问JSON:

$ echo '[1,2,3]' | fx "this.map(x => x * 2)"
[2, 4, 6]

或者也可以使用点语法:

echo '{"items": {"one": 1}}' | fx .items.one

输出:

1

你可以传递任意数量的匿名函数来减少JSON:

echo '{"items": ["one", "two"]}' | fx "this.items" "this[1]"

输出:

two

您可以使用扩展操作符更新现有JSON:

echo '{"count": 0}' | fx "{...this, count: 1}"

输出:

{"count": 1}

只是简单的JavaScript。没有必要学习新的语法。

fx的后期版本有一个互动模式!-

yum install PHP -cli后使用PHP:

php -r " foreach(json_decode(file_get_contents('http://a.com/a.json'), true) as \$key => \$value) echo \$key.'='.\$value.\"\n\" ; "