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REST API: Filters

The REST API offers the ability to filter results found with its "Get entries" method.
Using optional Strapi features can provide some more filters:

Tip

Strapi takes advantage of the ability of the qs library to parse nested objects to create more complex queries.

Use qs directly to generate complex queries instead of creating them manually. Examples in this documentation showcase how you can use qs.

You can also use the interactive query builder if you prefer playing with our online tool instead of generating queries with qs on your machine.

Queries can accept a filters parameter with the following syntax:

GET /api/:pluralApiId?filters[field][operator]=value

The following operators are available:

OperatorDescription
$eqEqual
$eqiEqual (case-insensitive)
$neNot equal
$neiNot equal (case-insensitive)
$ltLess than
$lteLess than or equal to
$gtGreater than
$gteGreater than or equal to
$inIncluded in an array
$notInNot included in an array
$containsContains
$notContainsDoes not contain
$containsiContains (case-insensitive)
$notContainsiDoes not contain (case-insensitive)
$nullIs null
$notNullIs not null
$betweenIs between
$startsWithStarts with
$startsWithiStarts with (case-insensitive)
$endsWithEnds with
$endsWithiEnds with (case-insensitive)
$orJoins the filters in an "or" expression
$andJoins the filters in an "and" expression
$notJoins the filters in an "not" expression
Caution

By default, the filters can only be used from find endpoints generated by the Content-type Builder and the CLI.

Example: Find users having 'John' as a first name

You can use the $eq filter operator to find an exact match.


Find users having 'John' as first name

GET /api/users?filters[username][$eq]=John

JavaScript query (built with the qs library):

The query URL above was built using the qs library. qs can be run locally on your machine, as shown in the following code example, or you can use our interactive query builder online tool.

const qs = require('qs');
const query = qs.stringify({
filters: {
username: {
$eq: 'John',
},
},
}, {
encodeValuesOnly: true, // prettify URL
});

await request(`/api/users?${query}`);
Example response
{
"data": [
{
"id": 1,
"documentId": "znrlzntu9ei5onjvwfaalu2v",
"username": "John",
"email": "john@test.com",
"provider": "local",
"confirmed": true,
"blocked": false,
"createdAt": "2021-12-03T20:08:17.740Z",
"updatedAt": "2021-12-03T20:08:17.740Z"
}
],
"meta": {
"pagination": {
"page": 1,
"pageSize": 25,
"pageCount": 1,
"total": 1
}
}

Example: Find multiple restaurants with ids 3, 6,8

You can use the $in filter operator with an array of values to find multiple exact values.


Find multiple restaurants with ids 3, 6, 8

GET /api/restaurants?filters[id][$in][0]=6&filters[id][$in][1]=8

JavaScript query (built with the qs library):

The query URL above was built using the qs library. qs can be run locally on your machine, as shown in the following code example, or you can use our interactive query builder online tool.

const qs = require('qs');
const query = qs.stringify({
filters: {
id: {
$in: [3, 6, 8],
},
},
}, {
encodeValuesOnly: true, // prettify URL
});

await request(`/api/restaurants?${query}`);
Example response
{
"data": [
{
"id": 6,
"documentId": "ethwxjxtvuxl89jq720e38uk",
"name": "test6",
// ...
},
{
"id": 8,
"documentId": "cf07g1dbusqr8mzmlbqvlegx",
"name": "test8",
// ...
},
],
"meta": {
// ...
}
}

Complex filtering

Complex filtering is combining multiple filters using advanced methods such as combining $and & $or. This allows for more flexibility to request exactly the data needed.


Find books with 2 possible dates and a specific author

GET /api/books?filters[$or][0][date][$eq]=2020-01-01&filters[$or][1][date][$eq]=2020-01-02&filters[author][name][$eq]=Kai%20doe

JavaScript query (built with the qs library):

The query URL above was built using the qs library. qs can be run locally on your machine, as shown in the following code example, or you can use our interactive query builder online tool.

const qs = require('qs');
const query = qs.stringify({
filters: {
$or: [
{
date: {
$eq: '2020-01-01',
},
},
{
date: {
$eq: '2020-01-02',
},
},
],
author: {
name: {
$eq: 'Kai doe',
},
},
},
}, {
encodeValuesOnly: true, // prettify URL
});

await request(`/api/books?${query}`);
Example response
{
"data": [
{
"id": 1,
"documentId": "rxngxzclq0zdaqtvz67hj38d",
"name": "test1",
"date": "2020-01-01",
// ...
},
{
"id": 2,
"documentId": "kjkhff4e269a50b4vi16stst",
"name": "test2",
"date": "2020-01-02",
// ...
}
],
"meta": {
// ...
}
}

Deep filtering

Deep filtering is filtering on a relation's fields.


Caution
  • Querying your API with deep filters may cause performance issues. If one of your deep filtering queries is too slow, we recommend building a custom route with an optimized version of the query.
  • Deep filtering isn't available for some polymorphic relations such as media fields, but it works on dynamic zones.
Note
  • Relations, media fields, components, and dynamic zones are not populated by default. Use the populate parameter to populate these data structures (see populate documentation)
  • It is not possible to filter on dynamic zones or media fields.

Find restaurants owned by a chef who belongs to a 5-star restaurant

GET /api/restaurants?filters[chef][restaurants][stars][$eq]=5

JavaScript query (built with the qs library):

The query URL above was built using the qs library. qs can be run locally on your machine, as shown in the following code example, or you can use our interactive query builder online tool.

const qs = require('qs');
const query = qs.stringify({
filters: {
chef: {
restaurants: {
stars: {
$eq: 5,
},
},
},
},
}, {
encodeValuesOnly: true, // prettify URL
});

await request(`/api/restaurants?${query}`);
Example response
{
"data": [
{
"id": 1,
"documentId": "cvsz61qg33rtyv1qljb1nrtg",
"name": "GORDON RAMSAY STEAK",
"stars": 5
// ...
},
{
"id": 2,
"documentId": "uh17h7ibw0g8thit6ivi71d8",
"name": "GORDON RAMSAY BURGER",
"stars": 5
// ...
}
],
"meta": {
// ...
}
}