Build Real Products Using Real Data

Harness the power of 87 unique APIs for your next big idea.

[
      {
            "name": "french fries",
            "calories": 317.7,
            "serving_size_g": 100,
            "fat_total_g": 14.8,
            "fat_saturated_g": 2.3,
            "protein_g": 3.4,
            "sodium_mg": 212,
            "potassium_mg": 124,
            "cholesterol_mg": 0,
            "carbohydrates_total_g": 41.1,
            "fiber_g": 3.8,
            "sugar_g": 0.3
      }
]

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Browse API Docs

Trusted by over 300,000 developers, startups and enterprise businesses

Built by Developers for developers

An API is only as good as its documentation - that's why we hired the world's best technical writers to create the most clear and concise API specs.

Sample Request and Response

All our APIs contain example request URLs with parameters and complete sample responses. You can see exactly what data is returned and how to process it.

https://api.api-ninjas.com/v1/iplookup?address=73.9.149.180

{
  "is_valid": true,
  "country": "United States",
  "country_code": "US",
  "region_code": "IL",
  "region": "Illinois",
  "city": "Chicago",
  "zip": "60620",
  "lat": 41.7405,
  "lon": -87.6587,
  "timezone": "America/Chicago",
  "isp": "Comcast Cable Communications, LLC",
  "address": "73.9.149.180"
}

Python

import requests
symbol = 'AAPL'
api_url = 'https://api.api-ninjas.com/v1/stockprice?ticker={}'.format(symbol)
response = requests.get(api_url, headers={'X-Api-Key': 'YOUR_API_KEY'})
if response.status_code == requests.codes.ok:
    print(response.text)
else:
    print("Error:", response.status_code, response.text)

Example Code Snippets

Every API contains example code in 5+ programming languges so you can copy-paste the implementations directly into your projects.

Live Demos

More than 95% of our APIs contain live demos. No API Key required!

https://api.api-ninjas.com/v1/inflation?country=Canada

Browse API Documentation

How we source our data

We know how important high-quality data is. Our rigorous 3-step process to vet all data sources carefully before integrating them into our API products.

1. Data provider audit

We carefully inspect not only the data source itself but also the provider's reliability, reputation, and business history.

In practice, this means that we use official primary sources whenever possible and only work with reputable data vendors.

2. Data quality inspection

Our engineering team manually inspects every data source to verify its accuracy and cleans the data before ingesting it into our systems.

For highly technical APIs we will also bring in industry experts to help validate the data.

3. Data coverage inspection

We also manually check all datasets for sufficient coverage. This often involves benchmarking against industry leaders and working with customers directly to make sure that we can service their use cases.