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GET
/
request
/
{id}
Get Request Data
curl --request GET \
  --url https://api.brightdata.com/datasets/deep_lookup/v1/request/{id} \
  --header 'Authorization: Bearer <token>'
{
  "request_id": "<string>",
  "query": "<string>",
  "status": "<string>",
  "title": "<string>",
  "step": "<string>",
  "matched_records": 123,
  "skipped_records": 123,
  "pages_read": 123,
  "pages_considered": 123,
  "total_cost": "<string>",
  "columns": [
    {
      "name": "<string>",
      "description": "<string>",
      "type": "enrichment"
    }
  ],
  "data": [
    {}
  ]
}

Authorizations

​
Authorization
string
header
required

Use your Bright Data API Key as a Bearer token in the Authorization header.

How to authenticate:

  1. Obtain your API Key from the Bright Data account settings at https://brightdata.com/cp/setting/users
  2. Include the API Key in the Authorization header of your requests
  3. Format: Authorization: Bearer YOUR_API_KEY

Example:

Authorization: Bearer b5648e1096c6442f60a6c4bbbe73f8d2234d3d8324554bd6a7ec8f3f251f07df

Learn how to get your Bright Data API key: https://docs.brightdata.com/api-reference/authentication

Path Parameters

​
id
string
required
Example:

"ai_meu3z0171o8k9jc4dh"

Response

200 - application/json

Request data

​
request_id
string
Example:

"ai_meu3z0171o8k9jc4dh"

​
query
string
Example:

"Find all AI startups in Israel"

​
status
string
Example:

"completed"

​
title
string
Example:

"AI startups in Isreal"

​
step
string
  • identifying - Understanding and analyzing the query
  • generating_schema - Creating the data structure
  • generating - Collecting and processing data
  • done - Research completed
Example:

"done"

​
matched_records
integer
Example:

73

​
skipped_records
integer

Note: skipped_records indicates entities that didn't match filter criteria

Example:

27

​
pages_read
integer
Example:

892

​
pages_considered
integer
Example:

3421

​
total_cost
string

Note: total_cost shows current cost (for running requests, this reflects collected records so far)

Example:

"$73.00"

​
columns
object[]
Example:
[
  {
    "name": "company_name",
    "description": "Company name",
    "type": "enrichment"
  }
]
​
data
object[]
Example:
[
  {
    "company_name": "Run:ai",
    "website": "run.ai",
    "founding_date": "2018",
    "employee_count": 120
  }
]