APIs for Data Collection

Context: FIT1043_MOC · how to reach new data sources programmatically · one of the best ways to gather data for a project

Quick Revision

• 🎯 Objective: access an application’s data/functionality by code ➔ a computer-facing interface (not a human UI).
• ⚡ Key Constraint: the consumer↔provider split — you (consumer) request from a provider’s API, usually needing a key (sign-up/auth).

📝 Core

• API (Application Programmer Interface) ➔ routines giving programmatic access to an application or its data; like a UI but for computers.
• Machine-to-machine ➔ programs talk to each other to access data/services (e.g. Google Maps).
• Consumer vs provider ➔ the provider exposes the API; the consumer calls it.
• REST API ➔ the common web style; e.g. OpenWeather — sign up, verify email, copy an API key, then call it from Python.
• Rich metadata ➔ e.g. Twitter/X exposes users, follower networks, locations, hashtags, emojis; real-time tweet filtering via the streaming API; multi-language client libraries.
• Widespread ➔ Facebook, Twitter/X, LinkedIn, Google Maps, YouTube, Amazon Advertising, TripAdvisor.

⚠️ Common Mistakes

• 💡 An API is for computers, not people ➔ it returns structured data (often JSON/XML) for code, not a rendered web page.
• 💡 Keys and policies apply ➔ most providers require a key and enforce a developer policy / rate limits; you’re a consumer of their service.

🧠 Active Recall

What is an API, and how do the consumer and provider roles differ?

Answer

• Short answer: An API is a computer-facing interface giving programmatic access to an application’s data/functionality; the provider exposes it, the consumer calls it (often with an API key), commonly as a REST API.
• Why: Machine-to-machine ➔ programs exchange structured data (e.g. OpenWeather returning weather JSON) instead of a human loading a web page.