Connectors

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Apify Dataset

Data replication

Sync Apify Dataset data anywhere.

Apify is a web scraping and automation platform that can extract structured data from any website or automate any workflow on the web. For example, imagine you found a website selling shoes and want to get a spreadsheet with all the shoe sizes, colors, prices, etc., but the website doesn't make that information accessible in tabular form. Youcould certainly manually create such a spreadsheet using copy and paste, but that would take a lot of time and cause a lot of frustration. Or you can set up Apify to do this for you in a few seconds.

  • Standard
  • Alpha
Sync Apify Dataset dataRead the docs
Apify Dataset

One connector

Everything Apify Dataset can do in Airbyte

  • Sync to your warehouse

    Land Apify Dataset data in 50+ destinations on a schedule you control.

  • Incremental syncs

    Pull only the records that changed since the last run instead of reloading everything.

  • One authorization

    Authenticate Apify Dataset once and Airbyte keeps every scheduled sync running on it.

  • Cloud or self-hosted

    Run the Apify Dataset connector on Cloud, Self-Managed Enterprise.

Specifications

What to know before you sync Apify Dataset

  • Support levelStandard
  • Available onCloud, Self-Managed Enterprise
  • Connector version2.2.57
  • Release stageAlpha
  • Maintained byApify

Sync capabilities

  • Full Refresh SyncSupported
  • Incremental SyncSupported
  • Destinations50+ Airbyte connectors

Set up in 12 steps

  1. First, navigate to the Apify website and log in to your account.
  2. Once you are logged in, click on the "API" tab in the top navigation bar.
  3. Next, click on the "Credentials" tab and then click the "Create new token" button.
  4. Give your token a name and select the appropriate permissions for your use case.
  5. Copy the generated token to your clipboard.
  6. Navigate to your Airbyte dashboard and click on the "Sources" tab.
  7. Click on the "Add Source" button and select "Apify" from the list of available connectors.
  8. In the "Connection Configuration" section, paste the token you copied from Apify into the "API Token" field.
  9. Enter the name of the dataset you want to connect to in the "Dataset Name" field.
  10. Click the "Test" button to ensure that the connection is successful.
  11. If the test is successful, click the "Save" button to save your configuration.
  12. You can now use the Apify source connector in Airbyte to extract data from your chosen dataset.

Authentication

Authenticate Apify Dataset once

  • API token

    Personal API token of your Apify account. In Apify Console, you can find your API token in the Settings section under the Integrations tab after you login. See the Apify Docs for more information.

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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.

Apify's API provides access to a wide range of data types, including:

1. Web scraping data: Apify's web scraping tools allow users to extract data from websites and APIs, including HTML, JSON, XML, and CSV formats.
2. Social media data: Apify's API can be used to extract data from social media platforms such as Twitter, Facebook, and Instagram, including posts, comments, and user profiles.
3. E-commerce data: Apify's API can be used to extract data from e-commerce platforms such as Amazon, eBay, and Shopify, including product listings, prices, and reviews.
4. Search engine data: Apify's API can be used to extract data from search engines such as Google, Bing, and Yahoo, including search results, rankings, and keyword data.
5. Financial data: Apify's API can be used to extract financial data from sources such as stock exchanges, financial news websites, and investment platforms.
6. Weather data: Apify's API can be used to extract weather data from sources such as weather APIs and weather news websites.
7. Government data: Apify's API can be used to extract data from government websites and APIs, including census data, crime statistics, and public records.

Overall, Apify's API provides access to a wide range of data types, making it a powerful tool for data extraction and analysis.

1. First, navigate to the Apify website and log in to your account.
2. Once you are logged in, click on the "API" tab in the top navigation bar.
3. Next, click on the "Credentials" tab and then click the "Create new token" button.
4. Give your token a name and select the appropriate permissions for your use case.
5. Copy the generated token to your clipboard.
6. Navigate to your Airbyte dashboard and click on the "Sources" tab.
7. Click on the "Add Source" button and select "Apify" from the list of available connectors.
8. In the "Connection Configuration" section, paste the token you copied from Apify into the "API Token" field.
9. Enter the name of the dataset you want to connect to in the "Dataset Name" field.
10. Click the "Test" button to ensure that the connection is successful.
11. If the test is successful, click the "Save" button to save your configuration.
12. You can now use the Apify source connector in Airbyte to extract data from your chosen dataset.

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 Apify Dataset data today

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

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