Trigger Extraction

curl --request POST \
  --url https://be.datagol.ai/noCo/api/v2/workspaces/{workspace_id}/extraction/{extraction_id}/{element_type}/{element_id}/run \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "rows": [
    {
      "id": 0,
      "cellValues": {
        "workspace_id": "35bb2bfb-5b7b-451c-9be4-6de7b5ed307e",
        "noco_e0e0ea6e": 0,
        "web_url": "https://app.datagol.ai/",
        "meeting_id": 24124,
        "call_recording_id": 21512512,
        "id": "{\"meeting_id\":\"325325\",\"workspace_id\":\"214215\",\"call_recording_id\":\"21515124\"}",
        "raw_transcript": "Iris: Hello. Alex: Hi. Iris: We’re exploring software you can summon"
      },
      "cellValuesByColumnId": {}
    }
  ],
  "whereClause": "1 = 1",
  "selectAll": false
}
'

import requests

url = "https://be.datagol.ai/noCo/api/v2/workspaces/{workspace_id}/extraction/{extraction_id}/{element_type}/{element_id}/run"

payload = {
    "rows": [
        {
            "id": 0,
            "cellValues": {
                "workspace_id": "35bb2bfb-5b7b-451c-9be4-6de7b5ed307e",
                "noco_e0e0ea6e": 0,
                "web_url": "https://app.datagol.ai/",
                "meeting_id": 24124,
                "call_recording_id": 21512512,
                "id": "{\"meeting_id\":\"325325\",\"workspace_id\":\"214215\",\"call_recording_id\":\"21515124\"}",
                "raw_transcript": "Iris: Hello. Alex: Hi. Iris: We’re exploring software you can summon"
            },
            "cellValuesByColumnId": {}
        }
    ],
    "whereClause": "1 = 1",
    "selectAll": False
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    rows: [
      {
        id: 0,
        cellValues: {
          workspace_id: '35bb2bfb-5b7b-451c-9be4-6de7b5ed307e',
          noco_e0e0ea6e: 0,
          web_url: 'https://app.datagol.ai/',
          meeting_id: 24124,
          call_recording_id: 21512512,
          id: '{"meeting_id":"325325","workspace_id":"214215","call_recording_id":"21515124"}',
          raw_transcript: 'Iris: Hello. Alex: Hi. Iris: We’re exploring software you can summon'
        },
        cellValuesByColumnId: {}
      }
    ],
    whereClause: '1 = 1',
    selectAll: false
  })
};

fetch('https://be.datagol.ai/noCo/api/v2/workspaces/{workspace_id}/extraction/{extraction_id}/{element_type}/{element_id}/run', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://be.datagol.ai/noCo/api/v2/workspaces/{workspace_id}/extraction/{extraction_id}/{element_type}/{element_id}/run",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'rows' => [
        [
                'id' => 0,
                'cellValues' => [
                                'workspace_id' => '35bb2bfb-5b7b-451c-9be4-6de7b5ed307e',
                                'noco_e0e0ea6e' => 0,
                                'web_url' => 'https://app.datagol.ai/',
                                'meeting_id' => 24124,
                                'call_recording_id' => 21512512,
                                'id' => '{"meeting_id":"325325","workspace_id":"214215","call_recording_id":"21515124"}',
                                'raw_transcript' => 'Iris: Hello. Alex: Hi. Iris: We’re exploring software you can summon'
                ],
                'cellValuesByColumnId' => [
                                
                ]
        ]
    ],
    'whereClause' => '1 = 1',
    'selectAll' => false
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://be.datagol.ai/noCo/api/v2/workspaces/{workspace_id}/extraction/{extraction_id}/{element_type}/{element_id}/run"

	payload := strings.NewReader("{\n  \"rows\": [\n    {\n      \"id\": 0,\n      \"cellValues\": {\n        \"workspace_id\": \"35bb2bfb-5b7b-451c-9be4-6de7b5ed307e\",\n        \"noco_e0e0ea6e\": 0,\n        \"web_url\": \"https://app.datagol.ai/\",\n        \"meeting_id\": 24124,\n        \"call_recording_id\": 21512512,\n        \"id\": \"{\\\"meeting_id\\\":\\\"325325\\\",\\\"workspace_id\\\":\\\"214215\\\",\\\"call_recording_id\\\":\\\"21515124\\\"}\",\n        \"raw_transcript\": \"Iris: Hello. Alex: Hi. Iris: We’re exploring software you can summon\"\n      },\n      \"cellValuesByColumnId\": {}\n    }\n  ],\n  \"whereClause\": \"1 = 1\",\n  \"selectAll\": false\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://be.datagol.ai/noCo/api/v2/workspaces/{workspace_id}/extraction/{extraction_id}/{element_type}/{element_id}/run")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"rows\": [\n    {\n      \"id\": 0,\n      \"cellValues\": {\n        \"workspace_id\": \"35bb2bfb-5b7b-451c-9be4-6de7b5ed307e\",\n        \"noco_e0e0ea6e\": 0,\n        \"web_url\": \"https://app.datagol.ai/\",\n        \"meeting_id\": 24124,\n        \"call_recording_id\": 21512512,\n        \"id\": \"{\\\"meeting_id\\\":\\\"325325\\\",\\\"workspace_id\\\":\\\"214215\\\",\\\"call_recording_id\\\":\\\"21515124\\\"}\",\n        \"raw_transcript\": \"Iris: Hello. Alex: Hi. Iris: We’re exploring software you can summon\"\n      },\n      \"cellValuesByColumnId\": {}\n    }\n  ],\n  \"whereClause\": \"1 = 1\",\n  \"selectAll\": false\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://be.datagol.ai/noCo/api/v2/workspaces/{workspace_id}/extraction/{extraction_id}/{element_type}/{element_id}/run")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"rows\": [\n    {\n      \"id\": 0,\n      \"cellValues\": {\n        \"workspace_id\": \"35bb2bfb-5b7b-451c-9be4-6de7b5ed307e\",\n        \"noco_e0e0ea6e\": 0,\n        \"web_url\": \"https://app.datagol.ai/\",\n        \"meeting_id\": 24124,\n        \"call_recording_id\": 21512512,\n        \"id\": \"{\\\"meeting_id\\\":\\\"325325\\\",\\\"workspace_id\\\":\\\"214215\\\",\\\"call_recording_id\\\":\\\"21515124\\\"}\",\n        \"raw_transcript\": \"Iris: Hello. Alex: Hi. Iris: We’re exploring software you can summon\"\n      },\n      \"cellValuesByColumnId\": {}\n    }\n  ],\n  \"whereClause\": \"1 = 1\",\n  \"selectAll\": false\n}"

response = http.request(request)
puts response.read_body

AI Extraction

Trigger Extraction

1️⃣ Overview

Purpose:
Triggers an extraction run for a specified extraction configuration and element.

Supports extraction modes for:

New records only
Selected rows
Filter-based extraction
Full dataset extraction

2️⃣ Endpoint

POST /noCo/api/v2/workspaces/{workspaceId}/extraction/{extractionId}/{elementType}/{elementId}/run?extractOnlyNew=true

3️⃣ Path Parameters

Parameter	Type	Required	Description
workspaceId	UUID	✅ Yes	Workspace identifier
extractionId	string	✅ Yes	Extraction configuration ID
elementType	string	✅ Yes	COLUMN / FILE / FOLDER
elementId	string	✅ Yes	Element identifier

4️⃣ Query Parameters

Parameter	Type	Required	Description
extractOnlyNew	boolean	❌ No	Default false

Behavior:

true → Only new records are extracted
false → Selected records are upserted (update existing + insert new)

5️⃣ Authentication

Requires authentication using:

Authorization: Bearer <token>

6️⃣ Request Headers

Header	Required
Authorization	✅ Yes
Content-Type: application/json	Optional

7️⃣ Request Body Schema (Optional)

{
  "rows": [],
  "whereClause": "string",
  "selectAll": true
}

8️⃣ Field Descriptions

Extraction Execution Controls

Field	Type	Required	Description
rows	array	❌ No	Specific rows to extract
whereClause	string	❌ No	Filter condition
selectAll	boolean	❌ No	Select all rows flag

9️⃣ Example Request

Trigger extraction for selected rows

curl -X POST "https://be.datagol.ai/noCo/api/v2/workspaces/{workspaceId}/extraction/{extractionId}/{elementType}/{elementId}/run?extractOnlyNew=true" \
-H "Authorization: Bearer <token>" \
-H "Content-Type: application/json" \
-d '{
  "selectAll": false,
  "rows": [
    {
      "id": "row1",
      "name": "Sample Data"
    }
  ]
}'

🔟 Behavior Summary

Triggers an extraction execution job for the specified configuration.
Supports:
• Incremental Extraction — When extractOnlyNew=true, only new records are processed.
• Upsert Extraction — When extractOnlyNew=false, existing records are updated and new records are inserted.
• Selective Extraction — Allows extraction of specific rows using the rows field.
• Filtered Extraction — Supports conditional extraction using whereClause.
• Full Extraction — When selectAll=true, extracts all matching records (rows field should be omitted).

📌 Additional Description

When selectAll is true, the system extracts all matching records.
If selectAll is false, the client must provide the complete row data in the rows field.

The request supports two major extraction strategies:

Incremental Extraction: Controlled by extractOnlyNew=true
Upsert Extraction: When extractOnlyNew=false, existing records are updated and new records are inserted.

POST

noCo

api

workspaces

{workspace_id}

extraction

{extraction_id}

{element_type}

{element_id}

run

Trigger Extraction

curl --request POST \
  --url https://be.datagol.ai/noCo/api/v2/workspaces/{workspace_id}/extraction/{extraction_id}/{element_type}/{element_id}/run \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "rows": [
    {
      "id": 0,
      "cellValues": {
        "workspace_id": "35bb2bfb-5b7b-451c-9be4-6de7b5ed307e",
        "noco_e0e0ea6e": 0,
        "web_url": "https://app.datagol.ai/",
        "meeting_id": 24124,
        "call_recording_id": 21512512,
        "id": "{\"meeting_id\":\"325325\",\"workspace_id\":\"214215\",\"call_recording_id\":\"21515124\"}",
        "raw_transcript": "Iris: Hello. Alex: Hi. Iris: We’re exploring software you can summon"
      },
      "cellValuesByColumnId": {}
    }
  ],
  "whereClause": "1 = 1",
  "selectAll": false
}
'

import requests

url = "https://be.datagol.ai/noCo/api/v2/workspaces/{workspace_id}/extraction/{extraction_id}/{element_type}/{element_id}/run"

payload = {
    "rows": [
        {
            "id": 0,
            "cellValues": {
                "workspace_id": "35bb2bfb-5b7b-451c-9be4-6de7b5ed307e",
                "noco_e0e0ea6e": 0,
                "web_url": "https://app.datagol.ai/",
                "meeting_id": 24124,
                "call_recording_id": 21512512,
                "id": "{\"meeting_id\":\"325325\",\"workspace_id\":\"214215\",\"call_recording_id\":\"21515124\"}",
                "raw_transcript": "Iris: Hello. Alex: Hi. Iris: We’re exploring software you can summon"
            },
            "cellValuesByColumnId": {}
        }
    ],
    "whereClause": "1 = 1",
    "selectAll": False
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    rows: [
      {
        id: 0,
        cellValues: {
          workspace_id: '35bb2bfb-5b7b-451c-9be4-6de7b5ed307e',
          noco_e0e0ea6e: 0,
          web_url: 'https://app.datagol.ai/',
          meeting_id: 24124,
          call_recording_id: 21512512,
          id: '{"meeting_id":"325325","workspace_id":"214215","call_recording_id":"21515124"}',
          raw_transcript: 'Iris: Hello. Alex: Hi. Iris: We’re exploring software you can summon'
        },
        cellValuesByColumnId: {}
      }
    ],
    whereClause: '1 = 1',
    selectAll: false
  })
};

fetch('https://be.datagol.ai/noCo/api/v2/workspaces/{workspace_id}/extraction/{extraction_id}/{element_type}/{element_id}/run', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://be.datagol.ai/noCo/api/v2/workspaces/{workspace_id}/extraction/{extraction_id}/{element_type}/{element_id}/run",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'rows' => [
        [
                'id' => 0,
                'cellValues' => [
                                'workspace_id' => '35bb2bfb-5b7b-451c-9be4-6de7b5ed307e',
                                'noco_e0e0ea6e' => 0,
                                'web_url' => 'https://app.datagol.ai/',
                                'meeting_id' => 24124,
                                'call_recording_id' => 21512512,
                                'id' => '{"meeting_id":"325325","workspace_id":"214215","call_recording_id":"21515124"}',
                                'raw_transcript' => 'Iris: Hello. Alex: Hi. Iris: We’re exploring software you can summon'
                ],
                'cellValuesByColumnId' => [
                                
                ]
        ]
    ],
    'whereClause' => '1 = 1',
    'selectAll' => false
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://be.datagol.ai/noCo/api/v2/workspaces/{workspace_id}/extraction/{extraction_id}/{element_type}/{element_id}/run"

	payload := strings.NewReader("{\n  \"rows\": [\n    {\n      \"id\": 0,\n      \"cellValues\": {\n        \"workspace_id\": \"35bb2bfb-5b7b-451c-9be4-6de7b5ed307e\",\n        \"noco_e0e0ea6e\": 0,\n        \"web_url\": \"https://app.datagol.ai/\",\n        \"meeting_id\": 24124,\n        \"call_recording_id\": 21512512,\n        \"id\": \"{\\\"meeting_id\\\":\\\"325325\\\",\\\"workspace_id\\\":\\\"214215\\\",\\\"call_recording_id\\\":\\\"21515124\\\"}\",\n        \"raw_transcript\": \"Iris: Hello. Alex: Hi. Iris: We’re exploring software you can summon\"\n      },\n      \"cellValuesByColumnId\": {}\n    }\n  ],\n  \"whereClause\": \"1 = 1\",\n  \"selectAll\": false\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://be.datagol.ai/noCo/api/v2/workspaces/{workspace_id}/extraction/{extraction_id}/{element_type}/{element_id}/run")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"rows\": [\n    {\n      \"id\": 0,\n      \"cellValues\": {\n        \"workspace_id\": \"35bb2bfb-5b7b-451c-9be4-6de7b5ed307e\",\n        \"noco_e0e0ea6e\": 0,\n        \"web_url\": \"https://app.datagol.ai/\",\n        \"meeting_id\": 24124,\n        \"call_recording_id\": 21512512,\n        \"id\": \"{\\\"meeting_id\\\":\\\"325325\\\",\\\"workspace_id\\\":\\\"214215\\\",\\\"call_recording_id\\\":\\\"21515124\\\"}\",\n        \"raw_transcript\": \"Iris: Hello. Alex: Hi. Iris: We’re exploring software you can summon\"\n      },\n      \"cellValuesByColumnId\": {}\n    }\n  ],\n  \"whereClause\": \"1 = 1\",\n  \"selectAll\": false\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://be.datagol.ai/noCo/api/v2/workspaces/{workspace_id}/extraction/{extraction_id}/{element_type}/{element_id}/run")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"rows\": [\n    {\n      \"id\": 0,\n      \"cellValues\": {\n        \"workspace_id\": \"35bb2bfb-5b7b-451c-9be4-6de7b5ed307e\",\n        \"noco_e0e0ea6e\": 0,\n        \"web_url\": \"https://app.datagol.ai/\",\n        \"meeting_id\": 24124,\n        \"call_recording_id\": 21512512,\n        \"id\": \"{\\\"meeting_id\\\":\\\"325325\\\",\\\"workspace_id\\\":\\\"214215\\\",\\\"call_recording_id\\\":\\\"21515124\\\"}\",\n        \"raw_transcript\": \"Iris: Hello. Alex: Hi. Iris: We’re exploring software you can summon\"\n      },\n      \"cellValuesByColumnId\": {}\n    }\n  ],\n  \"whereClause\": \"1 = 1\",\n  \"selectAll\": false\n}"

response = http.request(request)
puts response.read_body

Authorizations

Authorization

string

header

required

This API uses OAuth 2.0 with the authorization code grant flow.

Path Parameters

workspace_id

string

required

extraction_id

string

required

element_type

string

required

element_id

string

required

Query Parameters

extractOnlyNew

boolean

Body

application/json

rows

object[]

Show child attributes

whereClause

string

selectAll

boolean

Response

200

Trigger Extraction

Get Extractions Poll Status

Getting Started

Workspaces

Sign up

AI Extraction

WorkBook

Links & Joins

Knowledge Graph

Enterprise Search

Trigger Extraction

1️⃣ Overview

2️⃣ Endpoint

3️⃣ Path Parameters

4️⃣ Query Parameters

5️⃣ Authentication

6️⃣ Request Headers

7️⃣ Request Body Schema (Optional)

8️⃣ Field Descriptions

Extraction Execution Controls

9️⃣ Example Request

Trigger extraction for selected rows

🔟 Behavior Summary

📌 Additional Description

Authorizations

Path Parameters

Query Parameters

Body

Response