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Endpoint

As explained in Effective Data Analysis

An API endpoint is a specific network-accessible address at which an API receives requests for a particular resource or operation.

An API endpoint is a network-accessible URL that receives requests for specific data. In public-data analysis, endpoints support regularly refreshed datasets without repeated manual downloads. section 10.3.3

A practical endpoint workflow is:

  • Use a data portal to identify filters and generate an endpoint URL. section 10.3.3
  • Modify query parameters, such as dates or record descriptors, for the required subset. section 10.3.3
  • Query the URL with Python’s requests library, parse the JSON response, and continue the extraction pipeline. section 10.3.3

Daily rat-sighting updates

A city government can query the NYC Open Data 311 endpoint for records whose descriptor is “Rat Sighting” within a chosen date range, then refresh its predictive-model data. section 10.3.3

Figure 10.19 The NYC Open Data portal allows you to filter, aggregate, and create simple charts.
figure

Inspect how the NYC Open Data portal filters, aggregates, and prepares data access. section 10.3.3

How Effective Data Analysis covers it

How deep it goes
Shows portal-generated URL construction and Python JSON querying, without detailing API design or protocol internals.
Examples
Uses date-filtered NYC 311 rat-sighting records as the concrete endpoint example.
What it assumes
Assumes basic Python data-access steps and teaches dynamic URL construction from portal-provided API parameters.
What you can do after
Apply it via Python and requests to retrieve date-filtered JSON records for a refreshable extraction pipeline.
How it connects
Links data portals, URL query parameters, Python, the requests library, JSON, and automated data pipelines.

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This explainer was generated by Manning's knowledge graph from the text of Effective Data Analysis. The section links point to the parts of the book it draws on.