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Public APIs

A community-built directory of free public APIs, categorized by domain with Auth/HTTPS/CORS signals for fast integration scouting.
396kPythonMIT License
#api-list#free-apis#rest-api#graphql#open-data#developer-tools
#api-discovery
#api-integration
#api-catalog
#alternative-to-rapidapi-hub
#alternative-to-apis-guru

What is it?

Public APIs turns API discovery from random searching into a reusable engineering action: it provides a domain-first index and standardizes each entry’s constraints in a consistent table schema (Auth, HTTPS, CORS), so you can filter candidates in minutes. The design is deliberately engineering-oriented: structure the information first, then normalize the selection criteria, keeping team discussions anchored to verifiable integration constraints. The repo also acts as a collaboration surface—your internal categories, filters, and gotchas can be captured as reviewable PRs instead of tribal knowledge. For teams that need a more commercial marketplace motion, it surfaces ecosystem routes like APILayer so you can move from free experimentation to governable, paid API supply when needed.

Pain Points vs Innovation

✕Traditional Pain Points✓Innovative Solutions
API selection often drowns in noise: too many similar services, uneven docs, and unclear auth/CORS constraints that stretch research cycles.Public APIs structures integration constraints with a consistent schema (Auth/HTTPS/CORS), turning selection into executable filters rather than vibes.
Bookmark-style lists lack a consistent schema, making bulk filtering and side-by-side comparison hard, pushing decisions into non-auditable tribal knowledge.It takes a different path from RapidAPI Hub: lightweight indexing and community maintenance instead of a unified SDK/key layer; add platform tooling only when you actually need it.

Architecture Deep Dive

Domain Index + Table Schema: Minimal Fields, Maximum Signal
The core value is not “more links”, but a minimal, high-signal schema that locks integration constraints into each entry. Auth/HTTPS/CORS cover the constraints that break most PoCs: authentication overhead, transport security, and browser cross-origin viability. Once those constraints are encoded, selection becomes a reproducible filter pipeline—e.g., shortlist HTTPS=Yes and Auth=No before deeper evaluation. Using Markdown tables is intentional: low edit friction, clear diffs in review, and structured discussion inside PRs. The result is a directory that scales socially, not via complex runtime infrastructure.
Community Data Governance: PR Reviews Over Black-Box Updates
For a public index, the biggest risk is link rot and entry drift, so governance beats features. Changes flow through PRs, making updates traceable, revertible, and discussable instead of opaque. Domain segmentation narrows review scope so maintainers can validate entries where they have context, improving signal-to-noise and lowering merge cost. The stable usage pattern is to treat the repo as an input layer and produce your own verification scripts, tests, and integration notes in your codebase. That way external volatility stays outside your operational boundary.

Deployment Guide

1. Clone the repo and open the main README

bash
1git clone https://github.com/public-apis/public-apis.git && cd public-apis && ls

2. Search for domains or keywords you care about

bash
1rg "### " README.md | head

3. Pre-filter by constraints (Auth/HTTPS/CORS) and build a shortlist

bash
1python -c "print('filter by Auth/HTTPS/CORS columns in README tables')"

4. Turn shortlist into a PoC with minimal requests, retries, and rate limiting

bash
1python -c "print('mvp request -> retries -> rate limit -> logging')"

Use Cases

Core SceneTarget AudienceSolutionOutcome
Integration Scouting RadarPMs and platform engineersUse domain index plus Auth/HTTPS/CORS to shortlist free APIsCut research from days to hours and reduce trial cost
Reliability Pre-ScreenBackend engineersRun minimal requests, classify failures, and probe rate limits with observabilityCatch unstable APIs early and avoid rework
Team Training KnowledgebaseTech leads and mentorsEncode categories and filters into contribution rules and PR templatesReviewable engineering assets and faster collaboration

Limitations & Gotchas

Limitations & Gotchas
  • This is a directory index, not a unified runtime gateway; availability depends on each API’s own stability and policy changes.
  • External links can rot or drift; keep verification scripts and tests for key candidates in your own codebase.
  • Auth/HTTPS/CORS enable fast screening but do not replace SLA, quota, compliance, or licensing evaluation.

Frequently Asked Questions

Public APIs vs RapidAPI Hub: what are the key tradeoffs?▾
Public APIs is a community-maintained index layer: a domain-first directory plus a simple schema (Auth/HTTPS/CORS) to shortlist candidates, without a unified gateway, SDK, or single API key. In contrast, RapidAPI Hub is a platform layer focused on discovering and connecting to many APIs through one product surface, and it exposes evaluation signals like popularity, average latency, and average success rate alongside subscription-style onboarding. The tradeoff is clear: if you want fast discovery with transparent constraints and you own the integration code, Public APIs stays lighter and reviewable; if you want centralized access and operational metrics to reduce friction, RapidAPI Hub behaves like a ready-made system. A pragmatic approach is to shortlist with Public APIs, then platform-govern the few APIs that matter.
How is Public APIs different from APIs.guru OpenAPI Directory?▾
Public APIs is primarily a human-readable directory optimized for category navigation and constraint signals, while APIs.guru OpenAPI Directory is a machine-readable catalog of API definitions in OpenAPI format with programmatic access to the dataset. Use the OpenAPI directory when you need client generation, contract testing, or large-scale spec analysis; use Public APIs when you need to narrow choices quickly and ship a PoC. In practice, they compose well: discovery and screening first, automation and validation next.
View on GitHub

Project Metrics

Stars396 k
LanguagePython
LicenseMIT License
Deploy DifficultyEasy

Table of Contents

  1. 01What is it?
  2. 02Pain Points vs Innovation
  3. 03Architecture Deep Dive
  4. 04Deployment Guide
  5. 05Use Cases
  6. 06Limitations & Gotchas
  7. 07Frequently Asked Questions

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