Open-source ELT from Google PageSpeed Insights to any destination

Open-source ETL from Google PageSpeed Insights to any destination

Open-source database replication from Google PageSpeed Insights

Open data movement to Google PageSpeed Insights

Google PageSpeed Insights analyzes webpage performance, providing scores and actionable insights to improve speed and user experience, enhancing SEO and reducing bounce rates.

Airbyte enables you to load your Google PageSpeed Insights data into any data warehouse, lake, or database in minutes using our pre-built, no-code connectors.

Airbyte enables you to extract and sync data from your Google PageSpeed Insights data into any data warehouse, lake, database, or any destination within minutes.

Replicate your Google PageSpeed Insights data into any data warehouses, lakes or (vector) databases, in minutes, using Change Data Capture.

Airbyte enables you to sync from any data source to Google PageSpeed Insights, in minutes.

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Start leveraging your Google PageSpeed Insights data in three easy steps

1

Setup a Google PageSpeed Insights connector in Airbyte

Connect to Google PageSpeed Insights or one of 400 Airbyte data sources through simple account authentication.

2

Set up a destination for your extracted Google PageSpeed Insights data

Choose from one of 50+ destinations where you want to import data from your Google PageSpeed Insights source.This can be a cloud data warehouse, database, data lake, vector database, or any other supported Airbyte destination.

3

Configure the Google PageSpeed Insights connection in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

Start analyzing your Google PageSpeed Insights data in three easy steps

1

Setup a Google PageSpeed Insights connector in Airbyte

Connect to Google PageSpeed Insights or one of 300+ Airbyte data sources through simple account authentication

2

Set up a destination for your extracted Google PageSpeed Insights data

Choose from one of 50+ destinations where you want to import data from your Google PageSpeed Insights source. This can be a cloud data warehouse, database, data lake, or any other supported Airbyte destination.

3

Configure the Google PageSpeed Insights connection in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

Start syncing data from any source to Google PageSpeed Insights in three easy steps

1

Set up a source connector to extract data from in Airbyte

Choose from one of 400 sources where you want to import data from. This can be any API tool, cloud data warehouse, database, data lake, files, among other source types. You can even build your own source connector in minutes with our no-code no-code connector builder.

2

Set up Google PageSpeed Insights as the destination connector

Connect to Google PageSpeed Insights or one of 50+ Airbyte data sources through simple account authentication

3

Configure the connection in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in Google PageSpeed Insights you want that data to be loaded.

LOVED by 10,000 (DATA) ENGINEERS

The Airbyte ‍Open Data Movement Platform

The only open solution empowering data teams
to meet growing business demands in the new AI era.

Leverage the largest catalog of  connectors

Airbyte’s catalog of 300+ pre-built, no-code connectors is the largest in the industry and is doubling every year, thanks to its open-source community, while closed-source catalogs have plateaued.

Cover your custom needs with our extensibility

Build custom connectors in 10 min with our Connector Development Kit (CDK), and get them maintained by us or our community. Add them to Airbyte to enable your whole team to leverage them.
Customize ANY Airbyte connectors to address Your custom needs. Our connector’s code is open-source, so you can edit it as you see fit.

Reliability at every level

Airbyte ensure your team’s time is no longer time spent on maintenance with our reliability SLAs on our GA connectors.
Airbyte will also give you visibility and control of your data freshness at the stream level for all your connections.
LOVED by 10,000 (DATA) ENGINEERS

Ship more quickly with the only solution that fits ALL your needs.

As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines

Leverage the largest catalog of  connectors

Airbyte’s catalog of 300+ pre-built, no-code connectors is the largest in the industry and is doubling every year, thanks to its open-source community, while closed-source catalogs have plateaued.

Cover your custom needs with our extensibility

Build custom connectors in 10 min with our Connector Development Kit (CDK), and get them maintained by us or our community. Add them to Airbyte to enable your whole team to leverage them.
Customize ANY Airbyte connectors to address Your custom needs. Our connector’s code is open-source, so you can edit it as you see fit.

Reliability at every level

Airbyte ensure your team’s time is no longer time spent on maintenance with our reliability SLAs on our GA connectors.
Airbyte will also give you visibility and control of your data freshness at the stream level for all your connections.
LOVED by 10,000 (DATA) ENGINEERS

Ship more quickly with the only solution that fits ALL your needs.

As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines

Leverage the largest catalog of  connectors

Airbyte’s catalog of 300+ pre-built, no-code connectors is the largest in the industry and is doubling every year, thanks to its open-source community, while closed-source catalogs have plateaued.

Cover your custom needs with our extensibility

Build custom connectors in 10 min with our Connector Development Kit (CDK), and get them maintained by us or our community. Add them to Airbyte to enable your whole team to leverage them.
Customize ANY Airbyte connectors to address Your custom needs. Our connector’s code is open-source, so you can edit it as you see fit.

Reliability at every level

Airbyte ensure your team’s time is no longer time spent on maintenance with our reliability SLAs on our GA connectors.
Airbyte will also give you visibility and control of your data freshness at the stream level for all your connections.

Move large volumes, fast.

Quickly get up and running with a 5-minute setup that supports both incremental and full refreshes, for databases of any size.

Change Data Capture.

Airbyte's log-based CDC allows for fast detection of all data changes and efficient replication with minimal resources.

Security from source to destination.

Securely connect to your database using our reliable connection methods (SSL/TLS, SSH tunnels). Bring your own cloud too!

We support the CDC methods your company needs

Log-based CDC

Our binary log reader asynchronously reads the transaction logs to identify any changes made to the database. This scalable method can handle large volumes of data and enables real-time CDC.
Read more about CDC

Timestamp-based CDC

Changes are identified using a cursor, and only the changes made since the last sync are replicated.
Learn more

It’s never been easier to integrate your Google PageSpeed Insights data into your data warehouse, lake or database

It’s never been easier to integrate your Google PageSpeed Insights data into your data warehouse, lake or database

It’s never been easier to integrate any data to Google PageSpeed Insights

Airbyte Open Source

Self-host the leading open-source data movement platform with the largest catalog of ELT connectors.
Deploy Airbyte Open Source

Airbyte Cloud

The easiest way to address all your ELT needs. Largest catalog of connectors, all customizable.
Try Airbyte Cloud free

Airbyte Enterprise

The best way to run Airbyte in self-hosted, with services and features that drive reliability, scalability, and compliance.
Learn more
TRUSTED BY 3,000+ COMPANIES DAILY

Why choose Airbyte as the backbone of your data infrastructure?

Keep your data engineering costs in check

Building and maintaining custom connectors have become 5x easier with Airbyte. Enable your data engineering teams to focus on projects that are more valuable to your business.
Given 44% of data teams are spent on maintaining brittle in-house connectors, this is a new level of internal resources that you get back.

Get Airbyte hosted where you need it to be

Airbyte helps you deploy your pipelines in production with two deployment options for the data plane:
  • Airbyte Cloud: Have it hosted by us, with all the security you need (SOC2, ISO, GDPR, HIPAA Conduit).
  • Airbyte Enterprise: Have it hosted within your own infrastructure, so your data and secrets never leave it.

White-glove enterprise-level support

With an average response rate of 10 minutes or less and a Customer Satisfaction score of 96/100, our team is ready to support your data integration journey all over the world.

Including for your Airbyte Open Source instance with our premium support.

Get your Google PageSpeed Insights data in whatever tools you need

Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.

Get your Google PageSpeed Insights data in whatever tools you need

Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.

Sync your data from any sources to Google PageSpeed Insights

Airbyte supports a growing list of sources, including API tools,  cloud data warehouses, lakes, databases, and files, or even custom sources you can build.

Case study
Consolidating data silos at Fnatic

Fnatic, based out of London, is the world's leading esports organization, with a winning legacy of 16 years and counting in over 28 different titles, generating over 13m USD in prize money. Fnatic has an engaged follower base of 14m across their social media platforms and hundreds of millions of people watch their teams compete in League of Legends, CS:GO, Dota 2, Rainbow Six Siege, and many more titles every year.

FAQs

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is Google PageSpeed Insights?

Google PageSpeed Insights is a tool that analyzes the performance of a website on both mobile and desktop devices. It provides a score out of 100 for the website's speed and optimization, as well as suggestions for improving the website's performance. The tool measures various factors such as page load time, time to first byte, and the number of requests made by the website. It also provides recommendations for optimizing images, reducing server response time, and minimizing render-blocking resources. The goal of PageSpeed Insights is to help website owners improve their website's speed and user experience, which can lead to higher search engine rankings and increased user engagement.

What data can you extract from Google PageSpeed Insights?

Google PageSpeed Insights API provides access to a wide range of data related to website performance. The API offers both mobile and desktop performance metrics, including:

• Page load time
• Time to first byte
• First contentful paint
• Speed index
• Time to interactive
• Total blocking time
• Cumulative layout shift
• Opportunities for improvement
• Diagnostics for common performance issues
• Suggestions for optimizing website performance

The API also provides data on the following categories:

• Resource loading times
• Image optimization
• JavaScript and CSS optimization
• Server response time
• Browser caching
• Compression
• Render-blocking resources
• Minification

Overall, the Google PageSpeed Insights API provides developers with a comprehensive set of data to help them optimize website performance and improve user experience.

How do I transfer data from Google PageSpeed Insights?

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: 
1. Set up Google PageSpeed Insights as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from Google PageSpeed Insights and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

What are top ETL tools to extract data from Google PageSpeed Insights

The most prominent ETL tools to extract data from Google PageSpeed Insights include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These ETL and ELT tools help in extracting data from Google PageSpeed Insights and other sources (APIs, databases, and more), transforming it efficiently, and loading it into a database, data warehouse or data lake, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is Google PageSpeed Insights?

Google PageSpeed Insights is a tool that analyzes the performance of a website on both mobile and desktop devices. It provides a score out of 100 for the website's speed and optimization, as well as suggestions for improving the website's performance. The tool measures various factors such as page load time, time to first byte, and the number of requests made by the website. It also provides recommendations for optimizing images, reducing server response time, and minimizing render-blocking resources. The goal of PageSpeed Insights is to help website owners improve their website's speed and user experience, which can lead to higher search engine rankings and increased user engagement.

What data can you extract from Google PageSpeed Insights?

Google PageSpeed Insights API provides access to a wide range of data related to website performance. The API offers both mobile and desktop performance metrics, including:

• Page load time
• Time to first byte
• First contentful paint
• Speed index
• Time to interactive
• Total blocking time
• Cumulative layout shift
• Opportunities for improvement
• Diagnostics for common performance issues
• Suggestions for optimizing website performance

The API also provides data on the following categories:

• Resource loading times
• Image optimization
• JavaScript and CSS optimization
• Server response time
• Browser caching
• Compression
• Render-blocking resources
• Minification

Overall, the Google PageSpeed Insights API provides developers with a comprehensive set of data to help them optimize website performance and improve user experience.

How do I transfer data from Google PageSpeed Insights?

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: 
1. Set up Google PageSpeed Insights as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from Google PageSpeed Insights and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

What are top ETL tools to extract data from Google PageSpeed Insights

The most prominent ETL tools to extract data from Google PageSpeed Insights include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These ETL and ELT tools help in extracting data from Google PageSpeed Insights and other sources (APIs, databases, and more), transforming it efficiently, and loading it into a database, data warehouse or data lake, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is Google PageSpeed Insights?

Google PageSpeed Insights is a tool that analyzes the performance of a website on both mobile and desktop devices. It provides a score out of 100 for the website's speed and optimization, as well as suggestions for improving the website's performance. The tool measures various factors such as page load time, time to first byte, and the number of requests made by the website. It also provides recommendations for optimizing images, reducing server response time, and minimizing render-blocking resources. The goal of PageSpeed Insights is to help website owners improve their website's speed and user experience, which can lead to higher search engine rankings and increased user engagement.

What data can you extract from Google PageSpeed Insights?

Google PageSpeed Insights API provides access to a wide range of data related to website performance. The API offers both mobile and desktop performance metrics, including:

• Page load time
• Time to first byte
• First contentful paint
• Speed index
• Time to interactive
• Total blocking time
• Cumulative layout shift
• Opportunities for improvement
• Diagnostics for common performance issues
• Suggestions for optimizing website performance

The API also provides data on the following categories:

• Resource loading times
• Image optimization
• JavaScript and CSS optimization
• Server response time
• Browser caching
• Compression
• Render-blocking resources
• Minification

Overall, the Google PageSpeed Insights API provides developers with a comprehensive set of data to help them optimize website performance and improve user experience.

What data can you transfer to Google PageSpeed Insights?

You can transfer a wide variety of data to Google PageSpeed Insights. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

How do I transfer data to Google PageSpeed Insights?

1. Go to the Airbyte website and sign up for an account.
2. Once you have signed up, log in to your account and click on the ""Sources"" tab.
3. Scroll down until you find the ""Google PageSpeed Insights"" source connector and click on it.
4. Click on the ""Create Connection"" button to start setting up your connection.
5. Enter your Google PageSpeed Insights API key in the appropriate field.
6. Choose the website you want to connect to from the dropdown menu.
7. Click on the ""Test"" button to make sure your connection is working properly.
8. If the test is successful, click on the ""Save & Sync"" button to save your connection and start syncing your data.
9. You can now view your Google PageSpeed Insights data in Airbyte and use it to analyze your website's performance.

What are top ETL tools to transfer data from Google PageSpeed Insights

The most prominent ETL tools to transfer data to Google PageSpeed Insights include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into [tool] and other databases, data warehouses and data lakes, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Possible connections with Google PageSpeed Insights