Context API / Query website data using AI

Context.dev tool context-dev-brand-ai-query on looot: input fields, $0.025 per call, output shape, and code to run it with curl, JavaScript or Python.

Use AI to extract specific data points from a brand’s website. The AI will crawl the website and extract the requested information based on the provided data points.

Tool id: context-dev-brand-ai-query
Provider: Context.dev
Job: Query brand ai (brand.ai.query)
Price: $0.025 per call. A call that fails at the provider costs $0.

Inputs

Name	Type	Required	Description
`data_to_extract`	array	yes	Array of data points to extract from the website
`domain`	string	yes	The domain name to analyze
`specific_pages`	string	no	Optional object specifying which pages to analyze
`tags`	array	no	Optional tags for tracking usage. Up to 20 tags, each 1 to 50 characters.
`timeoutMS`	integer	no	Optional timeout in milliseconds for the request. If the request takes longer than this value, it will be aborted with a 408 status code. Maximum allowed value is 300000ms (5 minutes).

Output

Shape of the run’s result, the expected shape, not yet checked against real answers:

{ domain, status, key_metadata: { credits_consumed, credits_remaining }, urls_analyzed: string[], data_extracted: { datapoint_name, datapoint_value }[] }

Every call needs your API token in LOOOT_TOKEN; Sign in shows how to get one. Each run also needs a new idempotency key, so a retry never pays twice. With wait: 30 the answer comes back inline when the run ends within 30 seconds. Otherwise you get the running run back: poll GET /v1/runs/<runId>.

Example input with placeholder values:

curl -X POST "https://api.looot.ai/v1/runs" \
  -H "Authorization: Bearer $LOOOT_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $(uuidgen)" \
  -d '{"endpointId":"context-dev-brand-ai-query","input":{"domain":"example.com","data_to_extract":[],"tags":["production","team-alpha"]},"wait":30}'

const response = await fetch("https://api.looot.ai/v1/runs", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.LOOOT_TOKEN}`,
    "Content-Type": "application/json",
    "Idempotency-Key": crypto.randomUUID(),
  },
  body: JSON.stringify({
    endpointId: "context-dev-brand-ai-query",
    input: {
      domain: "example.com",
      data_to_extract: [],
      tags: ["production", "team-alpha"],
    },
    wait: 30,
  }),
});
const run = await response.json();
console.log(run.status, run.result);

import os
import uuid

import requests

response = requests.post(
    "https://api.looot.ai/v1/runs",
    headers={
        "Authorization": f"Bearer {os.environ['LOOOT_TOKEN']}",
        "Idempotency-Key": str(uuid.uuid4()),
    },
    json={
        "endpointId": "context-dev-brand-ai-query",
        "input": {
            "domain": "example.com",
            "data_to_extract": [],
            "tags": ["production", "team-alpha"],
        },
        "wait": 30,
    },
    timeout=90,
)
run = response.json()
print(run["status"], run.get("result"))

To let looot pick among every provider of this job instead, send job:brand.ai.query as endpointId; see the job page.

Context API / Query website data using AI

Inputs

Output

Run it