Connectors

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Wikipedia Pageviews

Data replication

Sync Wikipedia Pageviews data anywhere.

Page view statistics is a tool that is entirely available for Wikipedia pages, that helps to see how many people have visited an article during a given time period. Using Wikipedia Pageviews there are some limitations. There are many things which need to be considered before using such statistics to make conclusions about an ongoing discussion. There are also some software limitations and circumstances that may influence them, both from inside and outside Wikipedia. For aggregating per project and per project per country, a Pageview statistics are available.

  • Standard
  • Alpha
  • 2 streams
Sync Wikipedia Pageviews dataRead the docs
Wikipedia Pageviews

One connector

Everything Wikipedia Pageviews can do in Airbyte

  • Sync to your warehouse

    Land 2 Wikipedia Pageviews tables in 50+ destinations on a schedule you control.

  • Cloud or self-hosted

    Run the Wikipedia Pageviews connector on Cloud, Self-Managed Enterprise.

Specifications

What to know before you sync Wikipedia Pageviews

  • Support levelStandard
  • Available onCloud, Self-Managed Enterprise
  • Connector version0.2.22
  • Release stageAlpha

Sync capabilities

  • Full Refresh SyncSupported
  • Incremental SyncNot supported
  • NamespacesNot supported
  • Destinations50+ Airbyte connectors

Set up in 8 steps

  1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.
  2. Click on the "Add Source" button and select "Wikipedia Pageviews" from the list of available connectors.
  3. In the "Configuration" tab, enter the required credentials for your Wikipedia account, including the username and password.
  4. Select the language and project for which you want to retrieve pageviews data.
  5. Choose the date range for which you want to retrieve data, either by selecting a preset range or by entering custom start and end dates.
  6. Click on the "Test" button to ensure that the connection is successful and that data is being retrieved.
  7. Once the test is successful, click on the "Save" button to save the configuration and add the Wikipedia Pageviews source to your Airbyte workspace.
  8. You can now use this source to create a pipeline and extract data from Wikipedia Pageviews.

2 streams

Every table you can sync from Wikipedia Pageviews

  • per-article

  • top

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Common questions

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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.

The Wikipedia Pageviews API provides access to various types of data related to the pageviews of Wikipedia articles. Some of the categories of data that can be accessed through this API are:

1. Pageviews: The API provides access to the number of pageviews for a particular Wikipedia article over a specific time period.
2. Language: The API allows users to filter the data by language, enabling them to retrieve pageviews for articles in a specific language.
3. Device type: The API provides data on the type of device used to access the Wikipedia article, such as desktop, mobile, or tablet.
4. Geographic location: The API allows users to filter the data by geographic location, enabling them to retrieve pageviews for articles in a specific country or region.
5. Time period: The API provides data on pageviews over a specific time period, such as hourly, daily, weekly, or monthly.
6. Referrer: The API provides data on the source of the pageview, such as whether it was from a search engine or a social media platform.

Overall, the Wikipedia Pageviews API provides a wealth of data related to the popularity and usage of Wikipedia articles, which can be used for various research and analytical purposes.

1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.
2. Click on the "Add Source" button and select "Wikipedia Pageviews" from the list of available connectors.
3. In the "Configuration" tab, enter the required credentials for your Wikipedia account, including the username and password.
4. Select the language and project for which you want to retrieve pageviews data.
5. Choose the date range for which you want to retrieve data, either by selecting a preset range or by entering custom start and end dates.
6. Click on the "Test" button to ensure that the connection is successful and that data is being retrieved.
7. Once the test is successful, click on the "Save" button to save the configuration and add the Wikipedia Pageviews source to your Airbyte workspace.
8. You can now use this source to create a pipeline and extract data from Wikipedia Pageviews.

The most prominent ETL tools to transfer data to 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 and other databases, data warehouses and data lakes, enhancing data management capabilities.

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.

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.

Start moving Wikipedia Pageviews data today

Free for 14 days on Airbyte Cloud. Set up the Wikipedia Pageviews connector once and let Airbyte keep it in sync.

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