When using the Exa API, you can request different types of content to be returned for each search result.

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Text (text=True)

Returns the full text content of the result, formatted as markdown. It extracts the main content (like article body text) while filtering out navigation elements, pop-ups, and other peripheral text. This is extractive content taken directly from the page’s source.

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Summary (summary=True)

Provides a concise summary generated from the text, tailored to a specific query you provide. This is abstractive content created by processing the source text using Gemini Flash.

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Structured Summaries

You can also request structured summaries by providing a JSON schema: 
{
  "summary": {
    "query": "Provide company information",
    "schema": {
      "$schema": "http://json-schema.org/draft-07/schema#",
      "title": "Company Information",
      "type": "object",
      "properties": {
        "name": { "type": "string", "description": "The name of the company" },
        "industry": { "type": "string", "description": "The industry the company operates in" },
        "foundedYear": { "type": "number", "description": "The year the company was founded" }
      },
      "required": ["name", "industry"]
    }
  }
}
The API will return the summary as a JSON string that matches your schema structure, which you can parse to access the structured data.

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Highlights

Delivers key excerpts from the text that are most relevant to your search query, emphasizing important information within the content. This is also extractive content from the source. You can configure highlights in two ways:
  1. Simple boolean (highlights=True): Returns default highlights based on the search query
  2. Detailed configuration (pass as an object): 
    {
  "contents": {
    "highlights": {
      "query": "Your specific highlight query",
      "numSentences": 3,
      "highlightsPerUrl": 5
    }
  }
}
    • query: The specific query to use for generating highlights (if different from search query)
    • numSentences: Number of sentences per highlight (minimum: 1)
    • highlightsPerUrl: Maximum number of highlights to return per URL (minimum: 1)

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Images and favicons

You can get images from webpages by setting imageLinks (under contents.extras.imageLinks) to specify how many images you want per result. Each result also includes the website’s favicon URL and a representative image URL when available.

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Crawl Errors

The contents endpoint provides detailed status information for each URL through the statuses field in the response. The endpoint only returns an error if there’s an internal issue on Exa’s end - all other cases are reported through individual URL statuses. Each response includes a statuses array with status information for each requested URL: 
{
  "results": [...],
  "statuses": [
    {
      "id": "https://example.com",
      "status": "success" | "error",
      "error": {
        "tag": "CRAWL_NOT_FOUND" | "CRAWL_TIMEOUT" | "CRAWL_LIVECRAWL_TIMEOUT" | "SOURCE_NOT_AVAILABLE" | "CRAWL_UNKNOWN_ERROR",
        "httpStatusCode": 404 | 408 | 403 | 500
      }
    }
  ]
}
The error tags correspond to different failure scenarios:
  • CRAWL_NOT_FOUND: Content not found (HTTP 404)
  • CRAWL_TIMEOUT: The target page returned a timeout error (HTTP 408)
  • CRAWL_LIVECRAWL_TIMEOUT: The livecrawlTimeout parameter limit was reached during crawling
  • SOURCE_NOT_AVAILABLE: Access forbidden or source unavailable (HTTP 403)
  • CRAWL_UNKNOWN_ERROR: Other errors (HTTP 500+)
To handle errors, check the statuses field for each URL: 
result = exa.get_contents(["https://example.com"])
for status in result.statuses:
    if status.status == "error":
        print(f"Error for {status.id}: {status.error.tag} ({status.error.httpStatusCode})")
This allows you to handle different failure scenarios appropriately for each URL in your request.