plausible
v2.2.1
Published
A zero-dependency, TypeScript library for interacting with the Plausible Analytics API, written in Deno!
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Plausible
A zero-dependency, TypeScript library for interacting with the Plausible Analytics API, written in Deno! Easily retrieve realtime, aggregated, and timeseries data for your site, or get breakdowns and properties for your Plausible Analytics account. More information can be found at Plausible Analytics API documentation.
Installation
Deno
To use the library in Deno, import the module at https://deno.land/x/[email protected]/index.ts.
import Plausible from "https://deno.land/x/[email protected]/index.ts";
Node
To use the library in Node, install it via npm:
npm install --save plausible
Then, import the library in your code:
import Plausible from "plausible";
Quickstart
Here's an example of how you can use the Plausible class to retrieve the number of current visitors on your site:
import Plausible from "https://deno.land/x/[email protected]/index.ts";
const key = "your-api-key";
const site = "your-site-id";
const plausible = new Plausible(key, site);
const realtime = await plausible.getRealtime();
console.log(realtime);
API
Plausible
new Plausible(key: string, site: string, url?: string | null)
Creates a new Plausible
instance.
Parameters:
key
: Your Plausible Analytics API key.site
: The ID of the site you want to retrieve data for.url
: (optional): The base URL of the Plausible Analytics API. Defaults to https://plausible.com.
getRealtime
getRealtime(): Promise<number>
Retrieves the number of current visitors on your site. A current visitor is defined as a visitor who triggered a pageview on your site in the last 5 minutes.
getAggregate
getAggregate<Compare extends boolean>(period: Period, metric: Metrics, compare?: Compare | null, filters?: string | null, date?: string | null): Promise<Aggregated<Compare>>
Aggregates metrics over a certain time period. If you are familiar with the
Plausible dashboard, this function corresponds to the top row of stats that
include Unique Visitors
pageviews, Bounce rate
and Visit duration
.
Parameters
period
: The time period to retrieve data for. Possible values are:"12mo"
"6mo"
"month"
"30d"
"7d"
"day"
"custom"
metric
: The metric to retrieve. Possible values are:"visitors"
"pageviews"
"bounce_rate"
"visit_duration"
"events"
"visits"
compare
(optional): Iftrue
, the returned data will include a comparison to the previous period.filters
(optional): A string containing filters to apply to the data. Filters can be used to segment the data by different dimensions, such as referral source or device type.date
(optional): A string containing the ISO-8601 end date relative to period (e.g.2000-01-01
). For example, if using30d
, setting a date will query for the 30 days before the date. When period is set tocustom
, this expect 2 dates separated by a comma, e.g.2000-01-01,2000-12-31
.
getTimeseries
getTimeseries<Metric extends Metrics>(period: Period, metric: Metric, filters?: string | null, interval? Interval | null, date?: string | null): Promise<Datapoints<Metric>>
This function retrieves timeseries data over a certain time period. If you are familiar with the Plausible dashboard, this function corresponds to the main visitor graph.
Parameters
period
: The time period to retrieve data for. Possible values are:"12mo"
"6mo"
"month"
"30d"
"7d"
"day"
"custom"
metric
: The metric to retrieve. Possible values are:"visitors"
"pageviews"
"bounce_rate"
"visit_duration"
"events"
"visits"
filters
(optional): A string containing filters to apply to the data. Filters can be used to segment the data by different dimensions, such as referral source or device type.interval
(optional): The reporting interval. Defaults tomonth
for6mo
and12mo
, otherwise falls back todate
. Possible values are:"date"
"month"
date
(optional): A string containing the ISO-8601 end date relative to period (e.g.2000-01-01
). For example, if using30d
, setting a date will query for the 30 days before the date. When period is set tocustom
, this expect 2 dates separated by a comma, e.g.2000-01-01,2000-12-31
.
getBreakdown
getBreakdown<Property extends Properties, Metric extends Metrics>(period: Period, metric: Metric, property: Property, filter?: string | null, limit?: number | null, page?: number | null, date?: string | null): Promise<Breakdowns<Property, Metric>>
Retrieves breakdowns of metrics over a certain time period. Breakdowns can be used to segment the data by different dimensions, such as referral source or device type.
Parameters
period
: The time period to retrieve data for. Possible values are:"12mo"
"6mo"
"month"
"30d"
"7d"
"day"
"custom"
metric
: The metric to retrieve. Possible values are:"visitors"
"pageviews"
"bounce_rate"
"visit_duration"
"events"
"visits"
property
: The property to group the data by. Possible values are"event:name"
"event:page"
"visit:source"
"visit:referrer"
"visit:utm_medium"
"visit:utm_source"
"visit:utm_campaign"
"visit:device"
"visit:browser"
"visit:browser_version"
"visit:os"
"visit:os_version"
"visit:country"
filters
(optional): A string containing filters to apply to the data. Filters can be used to segment the data by different dimensions, such as referral source or device type.limit
: Limit the number of results. Maximum value is 1000. Defaults to 100.offset
: Number of the page, used to paginate results. Importantly, the page numbers start from 1 not 0.date
(optional): A string containing the ISO-8601 end date relative to period (e.g.2000-01-01
). For example, if using30d
, setting a date will query for the 30 days before the date. When period is set tocustom
, this expect 2 dates separated by a comma, e.g.2000-01-01,2000-12-31
.
License
This library is licensed under the MIT License.
Acknowledgments
This library was created using the
Plausible Analytics API documentation.
The README.md
was written with the help of ChatGPT, a language model developed
by OpenAI.