Could we help you? Please click the banners. We are young and desperately need the money
Ever wondered when Google first discovered and indexed a particular website? Whether you're an SEO specialist, digital researcher, or just curious about the history of websites, there's a lesser-known Google search parameter that can help you uncover this information. In this guide, we'll explore how to use the 'as_qdr' parameter to discover when websites first appeared in Google's index.
The 'as_qdr' parameter is a special URL parameter that you can add to Google search queries to filter results based on when they were first indexed. While Google typically uses this parameter for time-based filters (like past year, past month), it can also reveal historical indexing information when used with specific values.
Using this trick is surprisingly simple. Here's how to do it:
Here's how to use it with specific examples:
https://www.google.ch/search?q=site:lexo.ch/blog&as_qdr=y15
This searches for indexed pages from lexo.ch/blog going back 15 years.
For a global search without the site: operator:
https://www.google.ch/search?q=lexo.ch+blog&as_qdr=y15
You can modify the number after 'y' to change the time range:
Feature | as_qdr Parameter | Wayback Machine | WHOIS Data |
---|---|---|---|
Shows First Index Date | Yes | Partial | No |
Historical Content Access | No | Yes | No |
API Available | No | Yes | Yes |
While this method is useful, it comes with some limitations:
This technique can be particularly useful for:
To get the most accurate results:
The 'as_qdr' parameter can be combined with other Google search operators for more powerful searches:
site:example.com inurl:blog &as_qdr=y15
site:example.com filetype:pdf &as_qdr=y15
site:example.com intitle:"keyword" &as_qdr=y15
The 'as_qdr' parameter is a powerful tool for understanding the historical presence of websites in Google's index. While it has its limitations, when used properly, it can provide valuable insights for SEO professionals, researchers, and anyone interested in the evolution of web content over time.
Remember to use this tool as part of a broader research strategy, combining it with other resources like the Wayback Machine and WHOIS data for a complete picture of a website's history.