Sync from Apple Search Ads to ElasticSearch

with open data movement

Extract and load (ELT) your Apple Search Ads data into ElasticSearch in minutes with our open-source data integration connector.

Eliminate the time you spend on building and maintaining your data pipelines by integrating your data with Airbyte instead.
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Start syncing data from Apple Search Ads to ElasticSearch in three easy steps

1

Setup a Apple Search Ads connector in Airbyte

Connect to Apple Search Ads or one of 400 Airbyte data sources through simple account authentication

2

Set up ElasticSearch as the destination connector

Connect to ElasticSearch or one of 50+ Airbyte data destinations through simple account authentication

3

Sync your Data

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

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.

It’s never been easier to integrate your Apple Search Ads data into ElasticSearch

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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:
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  • Airbyte Enterprise: Have it hosted within your own infrastructure, so your data and secrets never leave it.

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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 Apple Search Ads?

Apple Search Ads is a platform that allows businesses to promote their apps in the App Store by displaying ads to users who are searching for specific keywords. Advertisers can target their ads based on factors such as location, device type, and demographics. The platform uses a pay-per-tap model, meaning advertisers only pay when a user taps on their ad. Apple Search Ads also provides detailed analytics and insights to help advertisers optimize their campaigns and improve their return on investment. Overall, Apple Search Ads is a powerful tool for app developers and businesses looking to increase their visibility and downloads in the App Store.

What is ElasticSearch?

Elasticsearch is a powerful search and analytics engine that is designed to handle large amounts of data in real-time. It is an open-source, distributed, and scalable search engine that is built on top of the Apache Lucene search library. Elasticsearch is used to search, analyze, and visualize data in real-time, making it an ideal tool for businesses and organizations that need to process large amounts of data quickly. Elasticsearch is designed to be highly scalable and can be used to index and search data across multiple servers. It is also highly customizable, allowing users to configure it to meet their specific needs. Elasticsearch is commonly used for log analysis, full-text search, and business analytics. One of the key features of Elasticsearch is its ability to handle unstructured data, such as text, images, and videos. It uses a powerful search algorithm to analyze and index this data, making it easy to search and retrieve information quickly. Elasticsearch also supports a wide range of data formats, including JSON, CSV, and XML, making it easy to integrate with other data sources. Overall, Elasticsearch is a powerful tool that can help businesses and organizations to process and analyze large amounts of data quickly and efficiently.

What data can you extract from Apple Search Ads?

Apple Search Ads API provides access to a wide range of data related to app advertising campaigns. The following are the categories of data that can be accessed through the API:
1. Campaign data: This includes information about the campaigns such as campaign name, status, budget, start and end dates, and target audience.
2. Ad group data: This includes information about the ad groups such as ad group name, status, bid amount, and target keywords.
3. Keyword data: This includes information about the keywords such as keyword text, match type, status, and performance metrics.
4. Creative data: This includes information about the ad creatives such as ad type, ad format, ad group, and performance metrics.
5. Performance data: This includes information about the performance of the campaigns, ad groups, keywords, and creatives such as impressions, clicks, conversions, and cost.
6. Attribution data: This includes information about the attribution of the app installs to the advertising campaigns such as source, medium, and campaign name.
7. Audience data: This includes information about the target audience such as demographics, interests, and behaviors.

How do I transfer data from Apple Search Ads to ElasticSearch?

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 Apple Search Ads as a source connector (using Auth, or usually an API key)
2. Set up ElasticSearch as a destination connector
3. Define which data you want to transfer 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

The most prominent ETL tools to transfer data from Apple Search Ads to ElasticSearch include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These tools help in extracting data from Apple Search Ads and various sources (APIs, databases, and more), transforming it efficiently, and loading it into ElasticSearch 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.

Apple Search Ads to ElasticSearch in minutes.

ETL your Apple Search Ads data into ElasticSearch, in minutes, for free, with our open-source data integration connectors. In the format you need with post-load transformation.

We don't support the
ElasticSearch
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
Apple Search Ads
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
Apple Search Ads
and
ElasticSearch
connectors yet. Scroll down to upvote and prioritize them, or check our Connector Development Kit to build it within 2 hours.

Select the Apple Search Ads data that you want to replicate.

The Apple Search Ads source connector can be used to sync the following tables:

About Apple Search Ads

Apple Search Ads is a platform that allows businesses to promote their apps in the App Store by displaying ads to users who are searching for specific keywords. Advertisers can target their ads based on factors such as location, device type, and demographics. The platform uses a pay-per-tap model, meaning advertisers only pay when a user taps on their ad. Apple Search Ads also provides detailed analytics and insights to help advertisers optimize their campaigns and improve their return on investment. Overall, Apple Search Ads is a powerful tool for app developers and businesses looking to increase their visibility and downloads in the App Store.

Start analyzing your Apple Search Ads data in minutes with the right data transformation

airbyte data transformation screenshot

Full control over the data

You select the data you want to replicate, and this for each destination you want to replicate your

Apple Search Ads

data to.

Normalized schemas

You can opt for getting the raw data, or to explode all nested API objects in separate tables.

Custom transformation via dbt

You can add any dbt transformation model you want and even sequence them in the order you need, so you get the data in the exact format you need at your cloud data warehouse, lake or data base.

Airbyte is designed to address 100% of your ElasticSearch needs

calendar icon

Scheduled updates

Automate replications with recurring incremental updates to

ElasticSearch

.

play
Replicate Salesforce data to Snowflake with incremental

Manual full refresh

Easily re-sync all your data when

ElasticSearch

has been desynchronized from the data source.

Change Data Capture for databases

Ensure your database are up to date with log-based incremental replication.

play
Check how log replication works for PostgreSQL

About ElasticSearch

Elasticsearch is a powerful search and analytics engine that is designed to handle large amounts of data in real-time. It is an open-source, distributed, and scalable search engine that is built on top of the Apache Lucene search library. Elasticsearch is used to search, analyze, and visualize data in real-time, making it an ideal tool for businesses and organizations that need to process large amounts of data quickly. Elasticsearch is designed to be highly scalable and can be used to index and search data across multiple servers. It is also highly customizable, allowing users to configure it to meet their specific needs. Elasticsearch is commonly used for log analysis, full-text search, and business analytics. One of the key features of Elasticsearch is its ability to handle unstructured data, such as text, images, and videos. It uses a powerful search algorithm to analyze and index this data, making it easy to search and retrieve information quickly. Elasticsearch also supports a wide range of data formats, including JSON, CSV, and XML, making it easy to integrate with other data sources. Overall, Elasticsearch is a powerful tool that can help businesses and organizations to process and analyze large amounts of data quickly and efficiently.

Why Choose Airbyte for your Apple Search Ads and ElasticSearch data integration

Airbyte is the new open-source ETL platform, and enables you to replicate your

Apple Search Ads

data in the destination of your choice, in minutes.

Maintenance-free

Heading

connector

Just authenticate your Apple Search Ads account and destination, and your new Apple Search Ads data integration will adapt to schema / API changes.

Extensible as open-sourced

With Airbyte, you can easily adapt the open-source Apple Search Ads ETL connector to your exact needs. All connectors are open-sourced.

No more security compliance issues​

Use Airbyte’s open-source edition to test your data pipeline without going through 3rd-party services. This will make your security team happy.

Normalized schemas​

Engineers can opt for raw data, analysts for normalized schemas. Airbyte offers several options that you can leverage with dbt.

Orchestration & scheduling​

Airbyte integrates with your existing stack. It can run with Airflow & Kubernetes and more are coming.

Monitoring & alerts on your terms​

Delays happen. We log everything and let you know when issues arise. Use our webhook to get notifications the way you want.

Apple Search Ads to Elasticsearch in minutes

ETL your Apple Search Ads data into ElasticSearch, in minutes, for free, with our open-source data integration connectors. In the format you need with post-load transformation.

We don't support the
Apple Search Ads
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
ElasticSearch
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
Apple Search Ads
and
ElasticSearch
connectors yet. Scroll down to upvote and prioritize them, or check our Connector Development Kit to build it within 2 hours.

Airbyte is designed to address 100% of your Apple Search Ads database needs.

Full control over the data

The 

Apple Search Ads

 source does not alter the schema present in your database. Depending on the destination connected to this source, however, the schema may be altered.

calendar icon

Scheduled updates

Automate replications with recurring incremental updates.

Log-based incremental replication

Ensure your database are up to date with log-based incremental replication.

play
Check how log replication works for PostgreSQL

About Apple Search Ads

Apple Search Ads is a platform that allows businesses to promote their apps in the App Store by displaying ads to users who are searching for specific keywords. Advertisers can target their ads based on factors such as location, device type, and demographics. The platform uses a pay-per-tap model, meaning advertisers only pay when a user taps on their ad. Apple Search Ads also provides detailed analytics and insights to help advertisers optimize their campaigns and improve their return on investment. Overall, Apple Search Ads is a powerful tool for app developers and businesses looking to increase their visibility and downloads in the App Store.

Start analyzing your Apple Search Ads data in minutes with the right data transformation

airbyte data transformation screenshot

Full control over the data

You select the data you want to replicate, and this for each destination you want to replicate your Apple Search Ads data to.

Normalized schemas

You can opt for getting the raw data, or to explode all nested API objects in separate tables.

Custom transformation via dbt

You can add any dbt transformation model you want and even sequence them in the order you need, so you get the data in the exact format you need at your cloud data warehouse, lake or data base.

Airbyte is designed to address 100% of your ElasticSearch needs

calendar icon

Scheduled updates

Automate replications with recurring incremental updates to ElasticSearch.

play
Replicate Salesforce data to Snowflake with incremental

Manual full refresh

Easily re-sync all your data when ElasticSearch has been desynchronized from the data source.

Change Data Capture for databases

Ensure your database are up to date with log-based incremental replication.

play
Check how log replication works for PostgreSQL

About ElasticSearch

Elasticsearch is a powerful search and analytics engine that is designed to handle large amounts of data in real-time. It is an open-source, distributed, and scalable search engine that is built on top of the Apache Lucene search library. Elasticsearch is used to search, analyze, and visualize data in real-time, making it an ideal tool for businesses and organizations that need to process large amounts of data quickly. Elasticsearch is designed to be highly scalable and can be used to index and search data across multiple servers. It is also highly customizable, allowing users to configure it to meet their specific needs. Elasticsearch is commonly used for log analysis, full-text search, and business analytics. One of the key features of Elasticsearch is its ability to handle unstructured data, such as text, images, and videos. It uses a powerful search algorithm to analyze and index this data, making it easy to search and retrieve information quickly. Elasticsearch also supports a wide range of data formats, including JSON, CSV, and XML, making it easy to integrate with other data sources. Overall, Elasticsearch is a powerful tool that can help businesses and organizations to process and analyze large amounts of data quickly and efficiently.

Why choose Airbyte for your Apple Search Ads and ElasticSearch data integration.

Airbyte is the new open-source ETL platform, and enables you to replicate your Apple Search Ads data in the destination of your choice, in minutes.

Maintenance-free

Heading

connector

Just authenticate your

Apple Search Ads

account and destination, and your new

Apple Search Ads

data integration will adapt to schema / API changes.

Extensible as open-sourced

With Airbyte, you can easily adapt the open-source

Apple Search Ads

ETL connector to your exact needs. All connectors are open-sourced.

No more security compliance issues​

Use Airbyte’s open-source edition to test your data pipeline without going through 3rd-party services. This will make your security team happy.

Normalized schemas​

Engineers can opt for raw data, analysts for normalized schemas. Airbyte offers several options that you can leverage with dbt.

Orchestration & scheduling​

Airbyte integrates with your existing stack. It can run with Airflow & Kubernetes and more are coming.

Monitoring & alerts on your terms​

Delays happen. We log everything and let you know when issues arise. Use our webhook to get notifications the way you want.