JavaScript

const { tavily } = require("@tavily/core");

// Step 1. Instantiating your Tavily client
const tvly = tavily({ apiKey: "tvly-YOUR_API_KEY" });

// Step 2. Executing a simple search query
const response = await tvly.search("Who is Leo Messi?");

// Step 3. That's it! You've done a Tavily Search!
console.log(response);

{
  query: "Who is Leo Messi?",
  images: [ 
    {
      url: "Image 1 URL",
      description: "Image 1 Description",  
    },
    {
      url: "Image 2 URL",
      description: "Image 2 Description",
    },
    {
      url: "Image 3 URL",
      description: "Image 3 Description",
    },
    {
      url: "Image 4 URL",
      description: "Image 4 Description",
    },
    {
      url: "Image 5 URL",
      description: "Image 5 Description",
    }
  ],
  results: [
    {
      title: "Source 1 Title",
      url: "Source 1 URL",
      content: "Source 1 Content",
      score: 0.99
    },
    {
      title: "Source 2 Title",
      url: "Source 2 URL",
      content: "Source 2 Content",
      score: 0.97
    }
  ], 
  "responseTime": 1.09
}

from tavily import TavilyClient

# Step 1. Instantiating your TavilyClient
tavily_client = TavilyClient(api_key="tvly-YOUR_API_KEY")

# Step 2. Defining the list of URLs to extract content from
urls = [
    "https://en.wikipedia.org/wiki/Artificial_intelligence",
    "https://en.wikipedia.org/wiki/Machine_learning",
    "https://en.wikipedia.org/wiki/Data_science",
]

# Step 3. Executing the extract request
response = tavily_client.extract(urls=urls, include_images=True)

# Step 4. Printing the extracted raw content
print(response)

{
  "results": [
    {
      "url": "https://en.wikipedia.org/wiki/Artificial_intelligence",
      "rawContent": "URL 1 raw content",
      "images": [
        "Image 1 URL",
        "Image 2 URL"
      ]
    },
    {
      "url": "https://en.wikipedia.org/wiki/Machine_learning",
      "rawContent": "URL 2 raw content",
      "images": [
        "Image 3 URL",
        "Image 4 URL"
      ]
    },
    {
      "url": "https://en.wikipedia.org/wiki/Data_science",
      "rawContent": "URL 3 raw content",
      "images": [
        "Image 5 URL",
        "Image 6 URL"
      ]
    }
  ],
  "failedResults": [],
  "responseTime": 1.23
}