This script utilizes Google Analytics to selectively warm the cache of your top visited pages. Easily set the script to run as a cron before your peak usage or after a site wide cache clear to ensure end-users are hitting cached content.
Step 1: Install Dependencies
Simply run pip install -r requirements.txt
Step 2: Create a Google Service Account and Download the JSON Key
First, create a Google Service Account. Then you will need to create a new JSON key or use an existing key if you already have one. The key will need to be moved to the project directory and be renamed to key.json.
For more information on Step 2 and 3, see the Google Analytics Server-side Authorization documentation.
Step 3: Add the Google Service Account as a User to Google Analytics
Find the client_email email address inside the key.json file and add the email as read-only user to the Google Analytics View.
Step 4: Setup Environment Variables
The script makes use of a .env file in the project directory. You can get started by copying the .env-example file to .env.
| Option | Example | Description |
|---|---|---|
DOMAIN |
DOMAIN=example.com |
Google Analytics API returns paths without a domain or protocol. This should be your main domain. |
PROTOCOL |
PROTOCOL=https |
Google Analytics API returns paths without a domain or protocol. This should be http or https. |
THREADS |
THREADS=5 |
The number of threads to use. Limited to 10. |
DELAY |
DELAY=500 |
The delay in ms between URL requests. |
SMTP_SERVER |
SMTP_SERVER=smtp.mailgun.org |
The SMTP server hostname. |
SMTP_USERNAME |
SMTP_SERVER=username@hash.mailgun.org |
The SMTP server username. |
SMTP_PASSWORD |
SMTP_SERVER=username@hash.mailgun.org |
The SMTP server password. |
SMTP_PORT |
SMTP_PORT=587 |
The SMTP server port. |
SMTP_FROM |
SMTP_FROM=no-reply@example.com |
The SMTP server from address. If using Mailgun, this likely will be the same as SMTP_USERNAME. |
SMTP_RECIPIENTS |
SMTP_RECIPIENTS=email1@example.com |
The email addresses that the final report will be sent to. Multiple email address need to be separated with a comma. |
Google Analytics Crawler:
python crawl.py -i 123456789 -c 10Sitemap.XML Crawler:
python crawl.py -s http://example.com/sitemap.xml -c 100Arguments
| Option | Description |
|---|---|
-i or --id |
The unique Google Analytics View ID. For more information about getting the View ID, see this article. |
-s or --sitemap |
The full web URL to Sitemap.XML file to crawl. This format should be use the proper sitemap XML schema. |
-c or --count |
The number of pages to warm. For example, if you set this to 10, the warmer will crawl the top 10 visited pages according to Google Analytics. The script is limited to 1000 pages. |