pyspeedinsights 0.3.2

Measure your site speed, performance, accessibility and SEO in bulk from the command line with Python and the PageSpeed Insights API.

pyspeedinsights

Measure your site speed, performance, accessibility and SEO in bulk from the command line with Python and the PageSpeed Insights API.

Support for sitemap parsing and asynchronous requests with aiohttp. Outputs to JSON or a color-coded Excel sheet for further analysis.

What is pyspeedinsights?

A simple Python cli that parses your sitemap, sends async requests to the PageSpeed Insights API and writes color-coded Lighthouse results to Excel.

Why pyspeedinsights?

Manually running each page of your website through Google's Lighthouse or PageSpeed Insights can be extremely time consuming, especially if it has a large number of pages.

This makes it difficult to analyze its overall performance from a 10,000-foot view without manually testing many similar types of pages.

That's what this package attempts to solve. While there are similar tools out there, pyspeedinsights is the only Python implementation built to support analysis in bulk via async requests.

Its user-friendly cli gives you the ability to analyze your entire site's speed, SEO, and accessibility results quickly and uncover bottlenecks by reviewing color-coded audit results and metrics for each page in Excel.

Format Options

The pyspeedinsights cli supports 3 overarching formats:

1. Single page JSON (-f json): Output the raw JSON response from the API to your working directory (single pages only).
2. Single page Excel (-f excel): Write color-coded Lighthouse audits and (optionally) metrics to an Excel sheet (single pages only).
3. Sitemap / Multi-page Excel (-f sitemap): Specify a sitemap file to parse and output your full site's color-coded Lighthouse audits and (optionally) metrics to an Excel sheet.

There are additional customizations available for request parameters and response processing via the cli as well.

Please reference the commands section for further instructions on how to specify formats and customize other options from the cli.

Installation

From a virtual environment:

pip install pyspeedinsights

From a system Python3 install on MacOS:

python3 -m pip install pyspeedinsights

From a system Python3 install on Windows:

py -m pip install pyspeedinsights

To run the package as a module without installing it from PyPI, cd into the src directory and run:

python -m pyspeedinsights

Note that your PATH, OS or Python version may require that you modify these commands slightly. When in doubt, just install it like you would any other Python package.

Authorization

The PageSpeed Insights API requires users to generate an API key for anything more than simple testing. Otherwise, you'll hit a rate limit rather quickly.

For this reason, a valid API key is currently required to use this package. Please see the PageSpeed Insights API documentation for detailed instructions on how to generate a key.

Keys & Quotas

The key itself is added to the GET request URL as a query parameter.

It's recommended to generate the key in Google Cloud Console > Credentials then restrict it to your host and the PageSpeed Insights API service. If you do go this route, make sure to enable the service in Enabled APIs & Services, as it may not be enabled by default.

The API has a daily and per-minute request quota of 25,000 and 240, respectively. The package automatically sleeps requests for 1 second between each call to avoid hitting the per minute quota or overloading the API and getting hit with 500 errors.

Keyring

This package uses the keyring Python library to store API keys securely on your system's default keystore (e.g. MacOS Keychain for MacOS users).

Note: If you're unable to use keyring for whatever reason, a fallback input will prompt you for your API key from the command line at the start of each run.

The dependency is installed automatically when you pip install pyspeedinsights. If for whatever reason you're getting a ImportError: No module named keyring error, run pip install keyring before running any keyring operations.

Please see the keyring documentation if you require any additional help with the following commands.

Saving Your API Key

To save your API key to your default keystore, run:

keyring set system psikey

The last argument has to be psikey. This is because pyspeedinsights looks for that username to read in your key during requests. system will instruct keyring to automatically detect your system's default keystore.

You'll then receive a prompt where you can enter your key to save it.

Verifying Your API Key

To verify that your key can be read, run:

keyring get system psikey

Your key should be output to the command line.

Removing Your API Key

To remove your API key from your default keystore, run:

keyring del system psikey

Then verify that it's no longer accessible with keyring get system psikey.

Sitemap Support

Currently, only URLs to valid XML sitemaps are supported for reports that utilize sitemap format. Please see sitemaps.org for specification details.

Your web server or sitemap plugin must also allow robots to crawl your sitemap. If you see any permission errors that would be the first thing to check. Certain security solutions like CloudFlare also block crawlers so whitelisting the server you're running the package from may also be preferrable.

Your sitemap URL should be passed in as the positional argument for url when running psi from the command line.

Sitemap Index

Support for sitemap index detection was recently added. This requires no additional action on your part. Simply pass your sitemap index in as the url argument via the cli.

If a sitemap index is detected, the package will recursively gather the URLs listed in each sitemap in your sitemap index and include them in requests. If a standard sitemap file is passed, only that sitemap will be processed.

Command Line Arguments

If you've installed pyspeedinsights with pip, the default command to run cli commands is psi.

If you've simply cloned or downloaded the repo, you can run the cli as a module directly with python -m pyspeedinsights. Make sure to cd into the src directory first.

For help with the following commands, run psi --help.

Quickstart

To get you started quickly, here are a few example commands.

Example of requesting a desktop performance report with all metrics for all the URLs in your sitemap:

• psi https://www.example.com/sitemap.xml -f sitemap -m all -c performance -s desktop -l en
  • Equivalent to: psi https://www.example.com/sitemap.xml -f sitemap -m all (performance, desktop and en are defaults)

Example of the same report but also specifying a UTM campaign name/source and captcha token (experimental/untested):

• psi https://www.example.com/sitemap.xml -f sitemap -m all -uc my-campaign-name -us my-campaign-source -t my-captcha-token

Request / Sitemap URL: url (required)

The URL of the page you want to analyze or a path to a valid XML sitemap (index) if using sitemap format.

This must be a fully qualified url with an optional path. URLs without a scheme default to https. URL fragments (#) and query parameters (?) will be removed automatically.

Valid commands:

• psi https://example.com
• psi https://www.example.com
• psi https://example.com/test
• psi example.com
  • Modified URL: https://example.com
• psi https://example.com#test
  • Modified URL: https://example.com

Invalid commands:

• psi example
  • Throws an error
• psi example/path
  • Throws an error

Sitemap example:

• psi https://www.example.com/sitemap.xml -f sitemap
  • Parses sitemap.xml and prepares requests for all <loc> elements.

Please see sitemaps for more info.

Output Format: -f or --format (optional)

The format of the Lighthouse results output.

• json (default): Output the raw JSON response from the API to your working directory (single pages only). You can add a -f json argument explicitly or leave it out to simply default to JSON output.

• excel: Write color-coded Lighthouse audits and (optionally) metrics to an Excel sheet (analyze the single url only).

• sitemap: Specify a sitemap (or index) file to parse and output your full site's color-coded Lighthouse audits and (optionally) metrics to an Excel sheet. When using this option, the url argument above needs to be a direct link to your XML sitemap. Please see sitemaps for more info.

Example:

• psi https://example.com - defaults to json
• psi https://example.com -f excel
• psi https://example.com -f sitemap

Metrics: -m or --metrics (optional)

Specify which metric(s) you want to include in your report.

This is only supported for the performance category (-c performance) with either excel or sitemap formats because the JSON output includes everything by default and categories other than performance don't include metrics in the response.

If excluded, metrics will not be dumped to Excel. Add the all argument to retrieve all available metrics or specify individual metrics to include.

Example:

• psi https://example.com -f excel - no metrics
• psi https://example.com -f excel -m all - all available metrics
• psi https://example.com -f excel -m speedIndex - just speedIndex
• psi https://example.com -f excel -m speedIndex totalBlockingTime - just speedIndex and totalBlockingTime

Full list of available metrics:

• observedTotalCumulativeLayoutShift
• observedCumulativeLayoutShift
• observedLargestContentfulPaintAllFrames
• maxPotentialFID
• observedSpeedIndexTs
• observedFirstContentfulPaintTs
• observedTimeOrigin
• observedFirstPaint
• observedNavigationStartTs
• observedLargestContentfulPaintAllFramesTs
• speedIndex
• observedFirstContentfulPaint
• observedLastVisualChangeTs
• cumulativeLayoutShiftMainFrame
• observedLastVisualChange
• cumulativeLayoutShift
• largestContentfulPaint
• observedDomContentLoaded
• firstContentfulPaint
• observedCumulativeLayoutShiftMainFrame
• observedFirstVisualChange
• observedFirstPaintTs
• totalCumulativeLayoutShift
• observedFirstMeaningfulPaint
• interactive
• observedTraceEnd
• observedFirstMeaningfulPaintTs
• totalBlockingTime
• observedFirstContentfulPaintAllFramesTs
• observedLargestContentfulPaint
• observedNavigationStart
• observedLoad
• observedFirstVisualChangeTs
• observedFirstContentfulPaintAllFrames
• observedTimeOriginTs
• observedTraceEndTs
• observedLoadTs
• observedDomContentLoadedTs
• observedSpeedIndex
• firstMeaningfulPaint
• observedLargestContentfulPaintTs

Category: -c or --category (optional)

The Lighthouse category to run. Defaults to performance.

Other options include accessibility, best-practices, pwa and seo.

Example:

• psi https://www.example.com -c accessibility

Strategy: -s or --strategy (optional)

The Lighthouse analysis strategy to use. Defaults to desktop.

Other options include mobile.

Example:

• psi https://www.example.com -s mobile

Locale: -l or --locale (optional)

The locale used to localize formatted results. Defaults to en (US).

Please see the PSI API docs for a full list of locale options.

Example:

• psi https://www.example.com -l fr - localize results to French

UTM Campaign: -uc or --campaign (optional) (experimental)

The UTM campaign name for analytics. Defaults to None.

This option is currently experimental and hasn't been fully tested.

Example:

• psi https://www.example.com -uc my-campaign-name

UTM Source: -us or --source (optional) (experimental)

The UTM campaign source for analytics. Defaults to None.

This option is currently experimental and hasn't been fully tested.

Example:

• psi https://www.example.com -us my-campaign-source

Captcha Token: -t or --token (optional) (experimental)

The captcha token passed when filling out a captcha. Defaults to None.

This option is currently experimental and hasn't been fully tested.

Example:

• psi https://www.example.com -t my-captcha-token

Contributing

Contributors of all skill levels are welcome to help improve this package. Please see the Contribution Guidelines for details.