.webp)
Trusted by data-driven companies
Building your pipeline or Using Airbyte
Airbyte is the only open solution empowering data teams to meet all their growing custom business demands in the new AI era.
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
- Reliable and accurate
- Extensible and scalable for all your needs
- Deployed and governed your way
Start syncing with Airbyte in 3 easy steps within 10 minutes
Take a virtual tour
Demo video of Airbyte Cloud
Demo video of AI Connector Builder
What sets Airbyte Apart
Modern GenAI Workflows
Move Large Volumes, Fast
An Extensible Open-Source Standard
Full Control & Security
Fully Featured & Integrated
Enterprise Support with SLAs
What our users say
"The intake layer of Datadog’s self-serve analytics platform is largely built on Airbyte.Airbyte’s ease of use and extensibility allowed any team in the company to push their data into the platform - without assistance from the data team!"
“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”
“We chose Airbyte for its ease of use, its pricing scalability and its absence of vendor lock-in. Having a lean team makes them our top criteria. The value of being able to scale and execute at a high level by maximizing resources is immense”
Sync with Airbyte
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.
1. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Click on the "CSV File" destination connector.
3. Click on the "Create new connection" button.
4. Enter a name for your connection and select the workspace you want to use.
5. Enter the path where you want to save your CSV file.
6. Choose the delimiter you want to use for your CSV file.
7. Select the encoding you want to use for your CSV file.
8. Choose whether you want to append data to an existing file or create a new file each time the connector runs.
9. Enter any additional configuration settings you want to use for your CSV file.
10. Click on the "Test" button to ensure that your connection is working properly.
11. If the test is successful, click on the "Create" button to save your connection.
12. Your CSV File destination connector is now connected and ready to use.
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.
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.
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.
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.
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.
CSV (Comma Separated Values) file is a tool used to store and exchange data in a simple and structured format. It is a plain text file that contains data separated by commas, where each line represents a record and each field is separated by a comma. CSV files are widely used in data analysis, data migration, and data exchange between different software applications. The CSV file format is easy to read and write, making it a popular choice for storing and exchanging data. It can be opened and edited using any text editor or spreadsheet software, such as Microsoft Excel or Google Sheets. CSV files can also be imported and exported from databases, making it a convenient tool for data management. CSV files are commonly used for storing large amounts of data, such as customer information, product catalogs, financial data, and scientific data. They are also used for data analysis and visualization, as they can be easily imported into statistical software and other data analysis tools. Overall, the CSV file is a simple and versatile tool that is widely used for storing, exchanging, and analyzing data.
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.
1. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Click on the "CSV File" destination connector.
3. Click on the "Create new connection" button.
4. Enter a name for your connection and select the workspace you want to use.
5. Enter the path where you want to save your CSV file.
6. Choose the delimiter you want to use for your CSV file.
7. Select the encoding you want to use for your CSV file.
8. Choose whether you want to append data to an existing file or create a new file each time the connector runs.
9. Enter any additional configuration settings you want to use for your CSV file.
10. Click on the "Test" button to ensure that your connection is working properly.
11. If the test is successful, click on the "Create" button to save your connection.
12. Your CSV File destination connector is now connected and ready to use.
With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.
We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
Ready to get started?
Frequently Asked Questions
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.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey: