How to combine data from Daisycon with Keepa

Pipes allows you to quickly Integrate Daisycon with Keepa data for a combined analysis.

Load data from Daisycon and Keepa into your central data warehouse to analyze it with the business intelligence tool of your choice.

Pipes allows you to connect to Daisycon, Keepa, and more than 200 other APIs, web services, and databases with ready-to-use data connectors. Automate your data workflows through data pipelines without a single line of code.

Connect your data warehouse

It will be the destination of all data pipelines you build. Pipes supports relational databases in the cloud and on-premises.

Connect to Daisycon and Keepa

You just need to enter the associated credentials to allow Pipes access to the Daisycon API and the Keepa API.

Combine data from Daisycon and Keepa

Pipes lets you select the data from Daisycon and Keepa that you want to load to your data warehouse. These data pipelines will run automatically on your defined schedule!

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About Daisycon

Daisycon helps advertisers achieve their online marketing objectives by collaborating with a strong network of publishers which they support in maximising their earnings from email databases and websites. Daisycon is active in all of Europe. They offer services for lead generation, afilliate marketing and app-installs.

About Keepa

Keepa is a price tracker for items on Amazon and Amazon Marketplace. The company allows access to price history data of Amazon products with their API (application programming interface).

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.

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