CrUX API

The CrUX API gives low-latency access to aggregated real-user experience data at page and origin granularity.

Common use case

The CrUX API allows for the querying of user experience metrics for a specific URI like "Get metrics for the https://example.com origin."

CrUX API Key

Using the CrUX API requires a Google Cloud API key provisioned for Chrome UX Report API usage.

Acquiring and using an API key

Or create one in the Credentials page.

After you have an API key, your application can append the query parameter key=yourAPIKey to all request URLs.

The API key is safe for embedding in URLs; it doesn't need any encoding.

See Example queries.

Data model

This section details the structure of data in requests and responses.

Record

A discrete piece of information about a page, or site. A record can have data that is specific for an identifier and for a specific combination of dimensions. A record can contain data for one or more metrics.

Identifiers

Identifiers specify what records should be looked up. In CrUX these identifiers are webpages and websites.

Origin

When the identifier is an origin all data present for all pages in that origin are aggregated together. For example, say the http://www.example.com origin had pages as laid out by this sitemap:

http://www.example.com/
http://www.example.com/foo.html
http://www.example.com/bar.html

This would mean that when querying the Chrome UX Report with the origin set to http://www.example.com, data for http://www.example.com/, http://www.example.com/foo.html, and http://www.example.com/bar.html would be returned, aggregated together, because those are all pages under that origin.

URLs

When the identifier is a URL, only data for that specific URL will be returned. Looking again to the http://www.example.com origin sitemap:

http://www.example.com/
http://www.example.com/foo.html
http://www.example.com/bar.html

If the identifier is set to URL with the value of http://www.example.com/foo.html, only data for that page will be returned.

Dimensions

Dimensions identify a specific group of data that a record is being aggregated against, for example a form factor of PHONE indicates that the record contains information about loads that took place on a mobile device. Each dimension will have a certain number of values, and implicitly the lack of specifying that dimension will mean that the dimension is aggregated over all values. For example, specifying no form factor indicates that record contains information about loads that took place on any form factor.

Form Factor

The device class that the end-user used to navigate to the page. This is a general class of device split into PHONE, TABLET, and DESKTOP.

Effective Connection Type

Effective Connection Type is the estimated connection quality of the device when navigating to the page. This is a general class split into offline, slow-2G, 2G, 3G and 4G.

Metric

We report metrics as statistical aggregations, in histograms, percentiles, and fractions.

Floating point values are rounded to 4 decimal places (note that the cumulative_layout_shift metrics are doubles encoded as a string, so are not consider floats and are reported to 2 decimal places within the string).

Histogram

When metrics are expressed in a histogram, we show the percentages of page loads falling into particular ranges for that metric.

A three bin histogram for an example metric looks like this:

{
  "histogram": [
    {
      "start": 0,
      "end": 1000,
      "density": 0.3818
    },
    {
      "start": 1000,
      "end": 3000,
      "density": 0.4991
    },
    {
      "start": 3000,
      "density": 0.1192
    }
  ]
}

This data indicates that for 38.18% of page loads, the example metric was measured between 0ms and 1,000ms. The units of the metric are not contained in this histogram, in this case we will assume milliseconds.

Additionally, 49.91% of page loads saw a metric value between 1,000ms and 3,000ms, and 11.92% saw a value greater than 3,000ms.

Percentiles

Metrics may also contain percentiles that can be useful for additional analysis. We report specific metric values at the given percentile for that metric. They are based on the full set of available data and not the final binned data, so they don't necessarily match an interpolated percentile that is based on the final binned histogram.

{
  "percentiles": {
    "p75": 2063
  }
}

In this example, at least 75% of page loads were measured with a metric value <= 2063.

Fractions

Fractions indicate the percentages of page loads that can be labeled in a particular way. In this case, the metric values are these labels.

For example, the form_factors metric consists of a fractions object listing the breakdown of form factors (or devices) that the given query covers:

"form_factors": {
  "fractions": {
    "desktop": 0.0377,
    "tablet": 0.0288,
    "phone": 0.9335
  }
}

In this case, 3.77% of page loads were measured on a desktop, 2.88% on a tablet, and 93.35% on a phone, giving 100% in total.

Metric value types

CrUX API Metric Name	Data Type	Metric Units	Statistical Aggregations	Documentation
`cumulative_layout_shift`	2 decimal place double encoded as string	unitless	histogram with three bins, percentiles with p75	cls
`first_contentful_paint`	int	milliseconds	histogram with three bins, percentiles with p75	fcp
`first_input_delay` (deprecated)	int	milliseconds	histogram with three bins, percentiles with p75	fid
`interaction_to_next_paint`	int	milliseconds	histogram with three bins, percentiles with p75	inp
`largest_contentful_paint`	int	milliseconds	histogram with three bins, percentiles with p75	lcp
`experimental_time_to_first_byte`	int	milliseconds	histogram with three bins, percentiles with p75	ttfb
`form_factors`	4-decimal place double	percent	mapping from form factor to fraction	form factors
`navigation_types`	4-decimal place double	percent	mapping from navigation type to fraction	navigation types
`round_trip_time`	int	milliseconds	percentiles with p75	rtt

BigQuery metric name mapping

CrUX API Metric Name	BigQuery Metric Name
`cumulative_layout_shift`	`layout_instability.cumulative_layout_shift`
`first_contentful_paint`	`first_contentful_paint`
`first_input_delay`	`first_input.delay`
`interaction_to_next_paint`	`interaction_to_next_paint`
`largest_contentful_paint`	`largest_contentful_paint`
`experimental_time_to_first_byte`	`experimental.time_to_first_byte`
`navigation_types`	`navigation_types`
`form_factors`	n/a
`round_trip_time`	n/a

Note: In CrUX BigQuery, the histogram densities add up to 100% per origin across form factors, so the form_factors metric that we support in the API is instead expressed as the histogram densities for first_contentful_paint.

Collection period

As of October 2022, the CrUX API contains a collectionPeriod object with firstDate and endDate fields representing the beginning and end dates of the aggregation window. For example:

    "collectionPeriod": {
      "firstDate": {
        "year": 2022,
        "month": 9,
        "day": 12
      },
      "lastDate": {
        "year": 2022,
        "month": 10,
        "day": 9
      }
    }

This allows better understanding of the data and whether it's been updated yet for that day or is returning the same data as yesterday.

Note that the CrUX API is approximately two days behind today's date since it waits for completed data for the day, and there is some processing time involved before it is available in the API. The timezone used is Pacific Standard Time (PST) with no changes for daylight savings.

Example queries

Queries are submitted as JSON objects using a POST request to https://chromeuxreport.googleapis.com/v1/records:queryRecord?key=[YOUR_API_KEY]" with query data as a JSON object in the POST body:

{
  "origin": "https://example.com",
  "formFactor": "PHONE",
  "metrics": [
    "largest_contentful_paint",
    "experimental_time_to_first_byte"
  ]
}

For example, this can be called from curl with the following command line (replacing API_KEY with your key):

curl -s --request POST 'https://chromeuxreport.googleapis.com/v1/records:queryRecord?key=API_KEY' \
    --header 'Accept: application/json' \
    --header 'Content-Type: application/json' \
    --data '{"formFactor":"PHONE","origin":"https://www.example.com","metrics":["largest_contentful_paint", "experimental_time_to_first_byte"]}'

Note: The previous example is for macOS or Linux based systems—including the Git BASH shell for Windows. Other systems may require slight modifications. For example, the cmd.exe command line does not allow single quotes for parameters, nor the line continuations (\), so requires using double quotes (escaping inner quotes as appropriate with \"), and also using a single line.

Page-level data is available through the API by passing a url property in the query, instead of origin:

{
  "url": "https://example.com/page",
  "formFactor": "PHONE",
  "metrics": [
    "largest_contentful_paint",
    "experimental_time_to_first_byte"
  ]
}

If the metrics property is not set then all available metrics will be returned:

cumulative_layout_shift
first_contentful_paint
first_input_delay (deprecated)
interaction_to_next_paint
largest_contentful_paint
experimental_time_to_first_byte
navigation_types
form_factors (only reported if no formFactor is specified in the request)

If no formFactor value is provided then the values will be aggregated across all form factors.

See Using the Chrome UX Report API for more example queries.

Data pipeline

The CrUX dataset is processed through a pipeline to consolidate, aggregate and filter the data before becoming available using the API.

The rolling average

The data in the Chrome UX Report is a 28-day rolling average of aggregated metrics. This means that the data presented in the Chrome UX Report at any given time is actually data for the past 28 days aggregated together.

This is similar to how the CrUX dataset on BigQuery aggregates monthly reports.

Daily updates

Data is updated daily around 04:00 UTC. There is no service level agreement for update times; it is run on a best-effort basis every day.

Schema

There is a single endpoint for the CrUX API which accepts POST HTTP requests. The API returns a record which contains one or more metrics corresponding to performance data about the requested origin or page.

HTTP request

POST https://chromeuxreport.googleapis.com/v1/records:queryRecord

The URL uses gRPC Transcoding syntax.

Request body

The request body should contain data with the following structure:

{
  "effectiveConnectionType": string,
  "formFactor": enum (FormFactor),
  "metrics": [
    string
  ],

  // Union field url_pattern can be only one of the following:
  "origin": string,
  "url": string
  // End of list of possible types for union field url_pattern.
}

Fields
`effectiveConnectionType`	`string` The effective connection type is a query dimension that specifies the effective network class that the record's data should belong to. This field uses the values `["offline", "slow-2G", "2G", "3G", "4G"]` as specified in the Network Information API specification Note: If no effective connection type is specified, then a special record with aggregated data over all effective connection types will be returned.
`formFactor`	`enum` (`FormFactor`) The form factor is a query dimension that specifies the device class that the record's data should belong to. This field uses the values `DESKTOP`, `PHONE`, or `TABLET`. Note: If no form factor is specified, then a special record with aggregated data over all form factors will be returned.
`metrics[]`	`string` The metrics that should be included in the response. If none are specified then any metrics found will be returned. Allowed values: `["cumulative_layout_shift", "first_contentful_paint", "first_input_delay", "interaction_to_next_paint", "largest_contentful_paint", "experimental_time_to_first_byte"]`
Union field `url_pattern`. The `url_pattern` is the main identifier for a record lookup. It can be only one of the following:
`origin`	`string` The `url_pattern` "origin" refers to a URL pattern that is the origin of a website. Examples: `"https://example.com"`, `"https://cloud.google.com"`
`url`	`string` The `url_pattern` `url` refers to a URL pattern that is any arbitrary URL. Examples: `"https://example.com/`, `https://cloud.google.com/why-google-cloud/"`

For example, to request the desktop largest contentful paint values for the Chrome developer documentation homepage:

{
  "url": "https://developer.chrome.com/docs/",
  "formFactor": "DESKTOP",
  "metrics": [
    "largest_contentful_paint"
  ]
}

Response body

Successful requests return responses with a record object and urlNormalizationDetails in the following structure:

{
  "record": {
    "key": {
      object (Key)
    },
    "metrics": [
      string: {
        object (Metric)
      }
    ]
  },
  "urlNormalizationDetails": {
    object (UrlNormalization)
  }
}

For example, the response to the request body in the previous request could be:

{
  "record": {
    "key": {
      "formFactor": "DESKTOP",
      "url": "https://developer.chrome.com/docs/"
    },
    "metrics": {
      "largest_contentful_paint": {
        "histogram": [
          {
            "start": 0,
            "end": 2500,
            "density": 0.9815
          },
          {
            "start": 2500,
            "end": 4000,
            "density": 0.0108
          },
          {
            "start": 4000,
            "density": 0.0077
          }
        ],
        "percentiles": {
          "p75": 651
        }
      }
    },
    "collectionPeriod": {
      "firstDate": {
        "year": 2022,
        "month": 9,
        "day": 12
      },
      "lastDate": {
        "year": 2022,
        "month": 10,
        "day": 9
      }
    }
  }
}

Key

Key defines all the dimensions that identify this record as unique.

{
  "effectiveConnectionType": string,
  "formFactor": enum (FormFactor),

  // Union field url_pattern can be only one of the following:
  "origin": string,
  "url": string
  // End of list of possible types for union field url_pattern.
}

Fields
`formFactor`	`enum (FormFactor)` The form factor is the device class that all users used to access the site for this record. If the form factor is unspecified, then aggregated data over all form factors will be returned.
`effectiveConnectionType`	`string` The effective connection type is the general connection class that all users experienced for this record. This field uses the values ["offline", "slow-2G", "2G", "3G", "4G"] as specified in: https://wicg.github.io/netinfo/#effective-connection-types If the effective connection type is unspecified, then aggregated data over all effective connection types will be returned.
Union field `url_pattern`. The URL pattern is the URL that the record applies to. `url_pattern` can be only one of the following:
`origin`	`string` `origin` specifies the origin that this record is for. Note: When specifying an `origin`, data for loads under this origin over all pages are aggregated into origin level user experience data.
`url`	`string` `url` specifies a specific URL that this record is for. Note: When specifying a `url` only data for that specific URL will be aggregated.

Metrics

A metric is a set of aggregated user experience data for a single web performance metric, such as first contentful paint. It may contains a summary histogram of real world Chrome usage as a series of bins, specific percentile data (such as the p75), or it may contain labeled fractions.

{
  "histogram": [
    {
      object (Bin)
    }
  ],
  "percentiles": {
    object (Percentiles)
  }
}

{
  "fractions": {
    object (Fractions)
  }
}

Fields

Fields
`histogram[]`	`object (Bin)` The histogram of user experiences for a metric. The histogram will have at least one bin and the densities of all bins will add up to ~1.
`percentiles`	`object (Percentiles)` Common useful percentiles of the Metric. The value type for the percentiles will be the same as the value types given for the Histogram bins.
`fractions`	`object (Fractions)` This object contains labeled fractions, which add up to ~1. Fractions are rounded to 4 decimal places.

histogram[]

object (Bin)

The histogram of user experiences for a metric. The histogram will have at least one bin and the densities of all bins will add up to ~1.

percentiles

object (Percentiles)

Common useful percentiles of the Metric. The value type for the percentiles will be the same as the value types given for the Histogram bins.

fractions

object (Fractions)

This object contains labeled fractions, which add up to ~1.

Fractions are rounded to 4 decimal places.

Bin

A bin is a discrete portion of data spanning from start to end, or if no end is given from start to positive infinity.

A bin's start and end values are given in the value type of the metric it represents. For example, first contentful paint is measured in milliseconds and exposed as ints, therefore its metric bins will use int32s for its start and end types. However cumulative layout shift is measured in unitless decimals and is exposed as a decimal encoded as a string, therefore its metric bins will use strings for its value type.

{
  "start": value,
  "end": value,
  "density": number
}

Fields

Fields
`start`	`(integer \| string)` Start is the beginning of the data bin.
`end`	`(integer \| string)` End is the end of the data bin. If end is not populated, then the bin has no end and is valid from start to +inf.
`density`	`number` The proportion of users that experienced this bin's value for the given metric. Densities are rounded to 4 decimal places.

start

(integer | string)

Start is the beginning of the data bin.

end

(integer | string)

End is the end of the data bin. If end is not populated, then the bin has no end and is valid from start to +inf.

density

number

The proportion of users that experienced this bin's value for the given metric.

Densities are rounded to 4 decimal places.

Percentiles

Percentiles contains synthetic values of a metric at a given statistical percentile. These are used for estimating a metric's value as experienced by a percentage of users out of the total number of users.

{
  "P75": value
}

Fields

Fields
`p75`	`(integer \| string)` 75% of page loads experienced the given metric at or less than this value.

p75

(integer | string)

75% of page loads experienced the given metric at or less than this value.

Fractions

Fractions contains labeled fractions that add up to ~1. Each label describes a page load in some way, so metrics represented in this way can be thought of as producing distinct values instead of numerical values, and the fractions express how frequently a particular distinct value was measured.

{
  "label_1": fraction,
  "label_2": fraction,
  ...
  "label_n": fraction
}

Much like the density values in histogram bins, each fraction is a number 0.0 <= value <= 1.0, and they add up to ~1.0.

UrlNormalization

Object representing the normalization actions taken to normalize a URL to achieve a higher chance of successful lookup. These are simple automated changes that are taken when looking up the provided url_pattern would be known to fail. Complex actions like following redirects are not handled.

{
  "originalUrl": string,
  "normalizedUrl": string
}

Fields

Fields
`originalUrl`	`string` The original requested URL prior to any normalization actions.
`normalizedUrl`	`string` The URL after any normalization actions. This is a valid user experience URL that could reasonably be looked up.

originalUrl

string

The original requested URL prior to any normalization actions.

normalizedUrl

string

The URL after any normalization actions. This is a valid user experience URL that could reasonably be looked up.

Rate limits

The CrUX API is limited to 150 queries per minute per Google Cloud project, which is offered without charge. This limit, and your current usage, can be seen in the Google Cloud Console. This generous quota should be sufficient for the vast majority of use cases and it is not possible to pay for an increased quota.