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Start using Pinterest integrations in three easy steps

Integrate Pinterest connector in Airbyte

Choose a source connector to extract data

Connect Pinterest as a source in Airbyte to start the data extraction process - without deep technical expertise.

Choose a source connector from 400+ integrations available on Airbyte to start the data extraction process - without deep technical expertise.

Send Pinterest data anywhere you need it

Store your data inside Pinterest destination

Choose from 50+ Airbyte destinations, including warehouses, databases, and lakes, to store and analyze your Pinterest data.

Choose Pinterest from 50+ Airbyte destinations, including warehouses, databases, and lakes, to store and analyze the data from the source connector.

Configure your Pinterest data synchronization

Configure the integration for data synchronization

Select the Pinterest streams you need and define your sync frequency. Airbyte lets you choose exactly which data to load and where it lands for full pipeline control.

Select the streams you need and define your sync frequency. Airbyte lets you choose exactly which data to load and where it lands for full pipeline control.

Pinterest integrations let you do all these

Sync Pinterest data to BigQuery for advanced analytics

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Replicate Pinterest data into PostgreSQL for structured querying

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Get insights by merging Pinterest data with HubSpot

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Export Pinterest data to Google Sheets for analysis

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Pinterest integrations let you do all these

Sync Google Analytics data to Pinterest for analysis

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Load PostgreSQL data in to Pinterest effortlessly

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Keep Notion data fresh in Pinterest with automated syncs

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Manage Salesforce data in Pinterest BigQuery for analytics

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All about Pinterest integrations

What are Pinterest integrations?

The Pinterest integrations enable users to seamlessly integrate data from Pinterest into their data warehouses, facilitating deeper analysis and insights. With this integration, businesses can easily access and manage their Pinterest data, helping to enhance marketing strategies and improve decision-making processes.

Why choose Airbyte for Pinterest data integration?

Choosing Airbyte for Pinterest data integration offers several advantages, such as open-source flexibility, ease of use, and a wide array of pre-built connectors. Airbyte’s robust architecture ensures reliable data syncing and provides users with the ability to customize their data pipelines effectively, making it a solid choice for data-driven organizations.

What data can you extract from Airbyte’s Pinterest integration?

With the Airbyte integration for Pinterest, you can extract comprehensive advertising and campaign-analytics data — covering streams like campaigns, ads, ad_groups, campaign_analytics, ad_analytics, and ad_group_analytics

What data can you load to Pinterest?

With the Airbyte integration for Pinterest, you can extract comprehensive advertising and campaign-analytics data — covering streams like campaigns, ads, ad_groups, campaign_analytics, ad_analytics, and ad_group_analytics

How often does Airbyte sync my Pinterest data?

Airbyte offers scheduling options that allow users to sync their Pinterest data at customizable intervals. This ensures that the data remains up-to-date, enabling businesses to react swiftly to changes in engagement or content performance on the Pinterest platform.

Do I need coding experience to use the Pinterest integrations?

No, you do not need coding experience to use the Pinterest integrations with Airbyte. The platform is designed to be user-friendly, allowing users to set up and manage data connections through a graphical interface, making it accessible to users with varying technical backgrounds.

About Pinterest

Pinterest is a visual discovery and bookmarking platform allowing users to save and share ideas. Integrating Pinterest data helps data engineers analyze user engagement, track content performance, and optimize marketing strategies. This integration enhances insights into audience behavior, improves campaign effectiveness, and supports data-driven decisions for better content management.