Stats API reference

Plausible Stats API is a powerful single endpoint HTTP interface to view historical and real-time stats. In a nutshell, the endpoint /api/v2/query accepts both simple and complex stats queries in the POST request body and returns the metrics as JSON.

Try it now for your own site!

Not what you need?

Take a look at our Events API Reference if you want to record pageviews or custom events for your sites, or Sites API Reference if you want to manage your sites over the API.

Authentication

You can obtain an API key for your account by going to your user settings page plausible.io/settings.

After creating a token, you can authenticate your request by sending the token in the Authorization header of your request.

Example curl request

In the following request, replace YOUR-TOKEN with a reference to your token and site_id value with your domain.

curl \
--request POST \
--header 'Authorization: Bearer YOUR-TOKEN' \
--header 'Content-Type: application/json' \
--url 'https://plausible.io/api/v2/query' \
--data '{ "site_id": "dummy.site", "metrics": ["visitors"], "date_range": "7d" }'

API keys have a rate limit of 600 requests per hour by default. If you have special needs for more requests, please contact us to request more capacity.

Request structure

/api/v2/query endpoint accepts a query object. Example:

{
  "site_id": "dummy.site",
  "metrics": ["visitors", "pageviews", "bounce_rate"],
  "date_range": "7d",
  "filters": [
    ["is_not", "visit:country_name", [""]]
  ],
  "dimensions": ["visit:country_name", "visit:city_name"]
}

Query can contain the following keys:

site_id REQUIRED

Domain of your site on Plausible to be queried.

date_range REQUIRED

Date range to be queried.

Option	Description
`["2024-01-01", "2024-07-01"]`	Custom date range (ISO8601)
`["2024-01-01T12:00:00+02:00", "2024-01-01T15:59:59+02:00"]`	Custom date-time range (ISO8601)
`"day"`	Current day (e.g. 2024-07-01)
`"7d"`	Last 7 days relative to today
`"30d"`	Last 30 days relative to today
`"month"`	Since the start of the current month
`"6mo"`	Last 6 months relative to start of this month
`"12mo"`	Last 12 months relative to start of this month
`"year"`	Since the start of this year
`"all"`	Since the start of stats in Plausible

metrics REQUIRED

Metrics represent values to be calculated with the query.

Valid metrics are:

Metric name	Description
`visitors`	The number of unique visitors
`visits`	The number of visits/sessions
`pageviews`	The number of pageview events
`views_per_visit`	The number of pageviews divided by the number of visits. Returns a floating point number.
`bounce_rate`	Bounce rate percentage
`visit_duration`	Visit duration in seconds
`events`	The number of events (pageviews + custom events). When filtering by a goal, this metric corresponds to "Total Conversions" in the dashboard.
`percentage`	The percentage of visitors of total who fall into this category: Requires: dimension list
`conversion_rate`	The percentage of visitors who completed the goal. Requires: dimension list passed, an event:goal filter or event:goal dimension
`group_conversion_rate`	The percentage of visitors who completed the goal with the same dimension. Requires: dimension list passed, an event:goal filter or event:goal dimension

dimensions optional

Default: []

List of dimensions to group by. See example

Dimensions are attributes of your dataset. Using them in queries enables analyzing and compare multiple groups against each other. Think of them as GROUP BY in SQL.

Event dimensions

Valid dimensions include:

Dimension	Example	Description
`event:goal`	Register	A custom action that you want your users to take. To use this property, you first need to configure some goals in the site settings, or via the Sites API. The value is the goal's `display_name`. Learn more about goals here.
`event:page`	/blog/remove-google-analytics	Pathname of the page where the event is triggered. You can also use an asterisk to group multiple pages (`/blog*`)
`event:hostname`	example.com	Hostname of the event.

warning

Mixing session metrics bounce_rate, views_per_visit and visit_duration with event dimensions is not allowed.

Visit dimensions

Values of these dimensions are determined by the first pageview in a session.

Dimension	Example	Description
`visit:entry_page`	/home	Page on which the visit session started (landing page).
`visit:exit_page`	/home	Page on which the visit session ended (last page viewed).
`visit:source`	Twitter	Visit source, populated from an url query parameter tag (`utm_source`, `source` or `ref`) or the Referer HTTP header.
`visit:referrer`	t.co/fzWTE9OTPt	Raw `Referer` header without `http://`, `http://` or `www.`.
`visit:channel`	Organic Search	Acquisition channel for visit.
`visit:utm_medium`	social	Raw value of the `utm_medium` query param on the entry page.
`visit:utm_source`	twitter	Raw value of the `utm_source` query param on the entry page.
`visit:utm_campaign`	profile	Raw value of the `utm_campaign` query param on the entry page.
`visit:utm_content`	banner	Raw value of the `utm_content` query param on the entry page.
`visit:utm_term`	keyword	Raw value of the `utm_term` query param on the entry page.
`visit:device`	Desktop	Device type. Possible values are `Desktop`, `Laptop`, `Tablet` and `Mobile`.
`visit:browser`	Chrome	Name of the browser vendor. Most popular ones are `Chrome`, `Safari` and `Firefox`.
`visit:browser_version`	88.0.4324.146	Version number of the browser used by the visitor.
`visit:os`	Mac	Name of the operating system. Most popular ones are `Mac`, `Windows`, `iOS` and `Android`. Linux distributions are reported separately.
`visit:os_version`	10.6	Version number of the operating system used by the visitor.
`visit:country`	US	ISO 3166-1 alpha-2 code of the visitor country.
`visit:region`	US-MD	ISO 3166-2 code of the visitor region.
`visit:city`	4347778	GeoName ID of the visitor.
`visit:country_name`	United States	Name of the visitor country.
`visit:region_name`	California	Name of the visitor region.
`visit:city_name`	San Francisco	Name of the visitor city.

Time dimensions

It's useful to be able to group data by time, which can be done via the following dimensions.

Dimension	Example	Description
`time`	2024-01-01	Time or date to group by. Automatically figures out the appropriate time:bucket value from date range. Response is a valid ISO8601 date or timestamp
`time:hour`	2021-01-27T23:43:10Z	Time grouped by hour. ISO8601 timestamp
`time:day`	2021-01-27	Time grouped by date. ISO8601 date
`time:week`	2021-01-04	Time grouped by start of the week. ISO8601 date
`time:month`	2021-01-01	Time grouped by start of month. ISO8601 date

Note that:

time dimensions are not usable in filters. Set date_range instead.
If no data falls into a given time bucket, no values are returned. See include.time_labels option for a workaround.

See example

Custom properties

Custom properties can also be used as dimensions with the form event:props:<custom_prop_name>. See example

filters optional

Default: []

Filters allow limiting the data analyzed in a query. See example.

Simple filters

Each simple filter is an array with three or four elements [operator, dimension, clauses] or [operator, dimension, clauses, modifiers].

operators

The following operators are currently supported:

Operator	Example	Explanation
`is`	`["is", "visit:country_name", ["Germany", "Poland"]]`	Sessions originating from Germany or Poland.
`is_not`	`["is_not", "event:page", ["/pricing"]]`	Events that did not visit /pricing page
`contains`	`["contains", "event:page", ["/login"]]`	Events visited any page containing /login
`contains_not`	`["contains_not", "event:page", ["docs", "pricing"]]`	Events that did not visit any page containing docs or pricing
`matches`	`["matches", "event:page", ["^/user/\d+$"]]`	Events where page matches regular expression `^/user/\d+$`. Uses re2 syntax
`matches_not`	`["matches", "event:page", ["^/user/\d+$"]]`	Events where page does not match regular expression `^/user/\d+$`. Uses re2 syntax

dimension

Event and visit dimensions are valid for filters.

Note that only is operator is valid for event:goal dimension.

clauses

List of values to match against. A data point matches filter if any of the clauses matches.

modifiers optional

contains and is filters also support a 4th, modifier argument. For example, to match countries ignoring casing, you can use the following filter:

["contains", "event:country", ["united", "EST], { "case_sensitive": false }]. See full example

Logical operations

Filters can be combined using and, or and not operators.

Operator	Example	Explanation
`and`	`["and", [["is", "visit:country_name", ["Germany"]]], ["is", "visit:city_name", ["Berlin"]]]]`	Sessions originating from Berlin, Germany
`or`	`["and", [["is", "visit:country_name", ["Germany"]]], ["is", "visit:city_name", ["Tallinn"]]]]`	Sessions originating from Germany or city of Tallinn
`not`	`["not", ["is", "visit:country_name", ["Germany"]]]`	Sessions not originating from Germany

Note that top level filters is wrapped in an implicit and.

order_by optional

Allows for custom ordering of query results.

List of tuples [dimension_or_metric, direction], where:

dimension_or_metric needs to be listed in query metrics or dimensions respectively.
direction can be one of "asc" or "desc"

For example:

[["visitors", "desc"], ["visit:country_name", "asc"]]

When not specified, the default ordering is:

If a time dimensions is present, [time_dimension, "asc"]
By the first metric specified, descending.

See full query example

include optional

Default: {}

Additional options for the query as to what data to include.

include.imports

Default: false

If true, tries to include imported data in the result. See imported stats for more details, query example.

Read more on limitations of including imported data

Using custom property dimensions (event:props:*) are only supported for 2 properties: url and path. Additionally, these breakdowns will only work in combination with a certain subset of event:goal filters.

Filtering imported stats

Filtering by imported data is limited. The general rule is that you cannot filter by two different properties at the same time. For example, event:page==/;visit:source==Twitter is not able to return any imported results. The same happens when you try to filter by one dimension and set another as a dimension.

There are some exceptions though. The following dimensions are aggregated and grouped together and can be combined in a query:

Countries, regions, cities
Operating systems and their versions
Hostnames and pages
Specific custom events and their properties
- Outbound Link: Click and File Download goals with the url property
- 404 goals with the path property

For example, you can set a country dimension and filter by both city and region.

If set, meta.imports_included field will be set as a boolean.

If the applied combination of filters and dimensions is not supported for imported stats, the results are still returned based only on native stats. Additionally, meta.imports_skip_reason and meta.imports_warning response fields will contain more information on why including imported data failed. See example

include.time_labels

Default: false

Requires a time dimension being set. If true, sets meta.time_labels in response containing all time labels valid for date_range.

See example

include.total_rows

Default: false

Should be used for pagination. If true, sets meta.total_rows in response containing the total number of rows for this query.

See example

pagination optional

Default: { "limit": 10000, "offset: 0 }

See example

Response structure

Example response:

{
  "results": [
    {"metrics": [99, 98, 94], "dimensions": ["Estonia", "Tallinn"]},
    {"metrics": [98, 82, 97], "dimensions": ["Brazil", "São Paulo"]},
    {"metrics": [97, 77, 98], "dimensions": ["Germany", "Berlin"]},
    {"metrics": [94, 86, 93], "dimensions": ["Italy", "Rome"]},
    {"metrics": [89, 77, 96], "dimensions": ["United States", "San Francisco"]},
    {"metrics": [82, 78, 92], "dimensions": ["Poland", "Warsaw"]}
  ],
  "meta": {},
  "query": {
    "site_id": "dummy.site",
    "metrics": ["visitors", "pageviews", "bounce_rate"],
    "date_range": ["2024-09-04T00:00:00+00:00", "2024-09-10T23:59:59+00:00"],
    "filters": [["is_not", "visit:country_name", [""]]],
    "dimensions": ["visit:country_name", "visit:city_name"],
    "order_by": [["visitors", "desc"]],
    "include": {}
  }
}

results

Results is an ordered list query results.

Each result row contains:

dimensions - values for each dimension listed in query. In the same order as query dimensions, empty if no dimensions requested.
metrics - List of metric values, in the same order as query metrics

query

The query that was executed, after manipulations performed on the backend.

Looking for legacy stats API v1 docs?

Take a look here

Examples

The following examples are interactive and can be edited and run against your own data if you're logged in.

Authentication​

Example curl request​

Request structure​

site_id REQUIRED​

date_range REQUIRED​

metrics REQUIRED​

dimensions optional​

Event dimensions​

Visit dimensions​

Time dimensions​

Custom properties​

filters optional​

Simple filters​

operators​

dimension​

clauses​

modifiers optional​

Logical operations​

order_by optional​

include optional​

include.imports​

Filtering imported stats​

include.time_labels​

include.total_rows​

pagination optional​

Response structure​

results​

meta​

query​

Examples​

Authentication

Example curl request

Request structure

site_id REQUIRED

date_range REQUIRED

metrics REQUIRED

dimensions optional

Event dimensions

Visit dimensions

Time dimensions

Custom properties

filters optional

Simple filters

operators

dimension

clauses

modifiers optional

Logical operations

order_by optional

include optional

include.imports

Filtering imported stats

include.time_labels

include.total_rows

pagination optional

Response structure

results

meta

query

Examples