7taps

7taps

7taps is an API and platform for aggregating data from various sources. It allows developers to connect to multiple data sources through a single API and build applications on top of aggregated data.
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api data-aggregation developer-tool

7taps: API & Data Aggregator Platform

Connect to multiple data sources through a single API and build applications on aggregated data

What is 7taps?

7taps is an API and data platform that allows developers to easily aggregate and connect data from various sources. It provides a single API that developers can use to access and integrate data from sources like social media, review sites, classifieds, business directories, and more.

Some key features of 7taps include:

  • Access to structured data from over 100 sources including Twitter, Yelp, Airbnb, Craigslist, Wikipedia, and more.
  • Powerful filtering and normalization capabilities to refine data.
  • Simple REST API that's easy to implement.
  • Options to access real-time streams or archived data.
  • Tools for mapping, analyzing and visualizing data.
  • Usage-based pricing model.

7taps saves developers significant time by handling connections to multiple data sources through one API. It provides the underlying infrastructure to aggregate dispersed data into unified datasets that can power a variety of applications and analysis. With robust filtering tools and structured output formats like JSON, developers can efficiently build data pipelines and products leveraging 7taps.

7taps Features

Features

  1. Aggregates data from multiple sources into a single API
  2. Provides connectors for various data sources like social media, weather, finance, etc
  3. Real-time and historical data access
  4. Flexible querying and filtering of data
  5. Usage based pricing model
  6. Developer friendly APIs and SDKs
  7. Cloud hosted platform

Pricing

  • Usage Based

Pros

Saves time by aggregating multiple data sources

Reduces costs of managing multiple APIs and accounts

Speeds up development by providing ready APIs and SDKs

Flexibility to query and combine data as needed

Scales to any volume of data usage

Usage based pricing model

Cons

Can be complex to set up for large number of data sources

Requires learning new APIs and methods

Possibility of vendor lock-in

Reliant on vendor for uptime and performance

Usage costs can add up at high volumes


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