Build and ship software using Open Data APIs

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Made for developers to build new apps fast with real data

Join ODAPIS.com open data developers community and develop affordable applications easily and fast

 

Government Purchase Orders API

Easily build government procurement apps, visualizations and tools by finding insights on government purchase orders and segment them by year, month, organisation, supplier, amount and categories.

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Government Purchase Orders API

High Value Open Data APIs

Powerful High Value Open Data products have to be available in machine-readable format, via an application programming interface for every App developer.

Helps you build and ship amazing software with real-word aggregated curated datasets APIs. 

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High Value Open Data APIs
Solutions For Ever App

Solutions For Ever App

ODAPIs helps you find Open Data APIs solutions for every organisation, team and government.

From procurement, to suppliers, marketing and lead generation solutions.

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API Documentation

An API is only as good as its documentation - that's why we have created the most clear and concise API specs.

It includes information about the API's endpoints, methods, resources, and more, to help developers understand what our API can do and how to get started using it. 

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How do we work?

ODAPIS.com sources data from public records, open data portals and other providers for easy access to a wide range of data.

 


 

Data Collection

We collect raw open data from various sources and consolidate it into one place. This may include raw files, structured databases, APIs, web scraping techniques, and even manual data entry.

Data Cleaning

We refine the raw open data wherein errors and inconsistencies are removed, along with duplicates; producing better quality and accuracy in the open data.

Data Transformation

We standardize data through normalizing data formats, parsing unstructured data, and enriching with unique identifiers, to make sure the different data gets standardized in one format.

Data Integration

After cleaning, transforming and normalising streams of data from disparate sources we combine them into one dataset, providing a bird’s eye view.

Data Summarization

After integrating the data we generate meaninful summaries which will involve the use of totals, averages, or percentages in performing aggregation and transforming raw numbers into meaningful metrics.

Data APIs

All the aggregated data is stored in a data warehouse or data lake, in a centralized repository thus makes sure that it is easily accessible for any further analysis via APIs endpoints.

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