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POST
/
extract
Python SDK
from tavily import TavilyClient

tavily_client = TavilyClient(api_key="tvly-YOUR_API_KEY")
response = tavily_client.extract("https://en.wikipedia.org/wiki/Artificial_intelligence")

print(response)
{
  "results": [
    {
      "url": "https://en.wikipedia.org/wiki/Artificial_intelligence",
      "raw_content": "\"Jump to content\\nMain menu\\nSearch\\nAppearance\\nDonate\\nCreate account\\nLog in\\nPersonal tools\\n        Photograph your local culture, help Wikipedia and win!\\nToggle the table of contents\\nArtificial intelligence\\n161 languages\\nArticle\\nTalk\\nRead\\nView source\\nView history\\nTools\\nFrom Wikipedia, the free encyclopedia\\n\\\"AI\\\" redirects here. For other uses, see AI (disambiguation) and Artificial intelligence (disambiguation).\\nPart of a series on\\nArtificial intelligence (AI)\\nshow\\nMajor goals\\nshow\\nApproaches\\nshow\\nApplications\\nshow\\nPhilosophy\\nshow\\nHistory\\nshow\\nGlossary\\nvte\\nArtificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals.[1] Such machines may be called AIs.\\nHigh-profile applications of AI include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon, and Netflix); virtual assistants (e.g., Google Assistant, Siri, and Alexa); autonomous vehicles (e.g., Waymo); generative and creative tools (e.g., ChatGPT and AI art); and superhuman play and analysis in strategy games (e.g., chess and Go)...................",
      "images": [],
      "favicon": "https://en.wikipedia.org/static/favicon/wikipedia.ico"
    }
  ],
  "failed_results": [],
  "response_time": 0.02,
  "usage": {
    "credits": 1
  },
  "request_id": "123e4567-e89b-12d3-a456-426614174111"
}

Authorizations

​
Authorization
string
header
required

Bearer authentication header in the form Bearer , where is your Tavily API key (e.g., Bearer tvly-YOUR_API_KEY).

Body

application/json

Parameters for the Tavily Extract request.

​
urls
required

The URL to extract content from.

Example:

"https://en.wikipedia.org/wiki/Artificial_intelligence"

​
query
string

User intent for reranking extracted content chunks. When provided, chunks are reranked based on relevance to this query.

​
chunks_per_source
integer
default:3

Chunks are short content snippets (maximum 500 characters each) pulled directly from the source. Use chunks_per_source to define the maximum number of relevant chunks returned per source and to control the raw_content length. Chunks will appear in the raw_content field as: <chunk 1> [...] <chunk 2> [...] <chunk 3>. Available only when query is provided. Must be between 1 and 5.

Required range: 1 <= x <= 5
​
extract_depth
enum<string>
default:basic

The depth of the extraction process. advanced extraction retrieves more data, including tables and embedded content, with higher success but may increase latency.basic extraction costs 1 credit per 5 successful URL extractions, while advanced extraction costs 2 credits per 5 successful URL extractions.

Available options:
basic,
advanced
​
include_images
boolean
default:false

Include a list of images extracted from the URLs in the response. Default is false.

​
include_favicon
boolean
default:false

Whether to include the favicon URL for each result.

​
format
enum<string>
default:markdown

The format of the extracted web page content. markdown returns content in markdown format. text returns plain text and may increase latency.

Available options:
markdown,
text
​
timeout
number<float>
default:None

Maximum time in seconds to wait for the URL extraction before timing out. Must be between 1.0 and 60.0 seconds. If not specified, default timeouts are applied based on extract_depth: 10 seconds for basic extraction and 30 seconds for advanced extraction.

Required range: 1 <= x <= 60
​
include_usage
boolean
default:false

Whether to include credit usage information in the response. NOTE:The value may be 0 if the total successful URL extractions has not yet reached 5 calls. See our Credits & Pricing documentation for details.

Response

Extraction results returned successfully

​
results
object[]

A list of extracted content from the provided URLs.

​
failed_results
object[]

A list of URLs that could not be processed.

Example:
[]
​
response_time
number<float>

Time in seconds it took to complete the request.

Example:

0.02

​
usage
object

Credit usage details for the request.

Example:
{ "credits": 1 }
​
request_id
string

A unique request identifier you can share with customer support to help resolve issues with specific requests.

Example:

"123e4567-e89b-12d3-a456-426614174111"