JSON Selector Filter help

changedetection.io supports processing JSON information in a filter, so you can extract/monitor only the information that's important to you.

This is achieved by using either a json: or jq: filter in the "Filter" settings of a watch.

JSONPath filter json:...

To just indent a response, for better diffs, use json:$.

---

Some ideas, if you want to select where a value is set to something

[
    {
        "id": "DK*CLE*E11499*1",
        "status": 3,
        "price": null,
        "free": false,
        "link": null
    },
    {
        "id": "DK*CLE*E11499*2",
        "status": 2,
        "price": null,
        "free": false,
        "link": null
    }
]

Try json:$[?(@.status==3)]

"Filter" compatibility with other JSON selector libraries

json:$.address[?(@.use="work")] works

json:$.address.[?(@.use="work")] does not work/validate

see https://github.com/dgtlmoon/changedetection.io/discussions/711

JQ filter (jq:...)

For more complex parsing, filtering, and modifying of JSON data, jq is recommended due to the built-in operators and functions. Refer to the documentation for more specifc information on jq.

Notes:

• jq must be added manually separately from the installation of changedetection.io (simply run pip3 install jq)
• jq is not available on Windows or must be manually compiled (No "wheel" package available on pypi)

One big advantage of jq is that you can use logic in your JSON filter, such as filters to only show items that have a value greater than/less than etc.

The example below adds the price in dollars to each item in the JSON data, and then filters to only show items that are greater than 10.

Sample input data from API

{
    "items": [
        {
           "name": "Product A",
           "priceInCents": 2500
        },
        {
           "name": "Product B",
           "priceInCents": 500
        },
        {
           "name": "Product C",
           "priceInCents": 2000
        }
    ]
}

Sample jq filter

jq:.items[] | . + { "priceInDollars": (.priceInCents / 100) } | select(.priceInDollars > 10)

Sample output data

{
  "name": "Product A",
  "priceInCents": 2500,
  "priceInDollars": 25
}
{
  "name": "Product C",
  "priceInCents": 2000,
  "priceInDollars": 20
}