AWS Glue DataBrew
amazonaws · Cloud
Glue DataBrew is a visual, cloud-scale data-preparation service. DataBrew simplifies data preparation tasks, targeting data issues that are hard to spot and time-consuming to fix. DataBrew empowers users of all technical levels to visualize the data and perform one-click data transformations, with no coding required.
Authentication
Sample Requests
Lists all of the DataBrew datasets.
Hover any highlighted part to learn what it does
curl -X GET "https://api.apis.guru/v2/specs/amazonaws.com/databrew/2017-07-25/datasets?NextToken=example&nextToken=example&MaxResults=example&maxResults=1"
import requests
params = {
"NextToken": "example",
"nextToken": "example",
"MaxResults": "example",
"maxResults": "1"
}
response = requests.get(
"https://api.apis.guru/v2/specs/amazonaws.com/databrew/2017-07-25/datasets",
params=params,
)
print(response.json())const url = new URL('https://api.apis.guru/v2/specs/amazonaws.com/databrew/2017-07-25/datasets');
url.searchParams.set('NextToken', 'example');
url.searchParams.set('nextToken', 'example');
url.searchParams.set('MaxResults', 'example');
url.searchParams.set('maxResults', '1');
const response = await fetch(url);
const data = await response.json();
console.log(data);package main
import (
"fmt"
"io"
"net/http"
"net/url"
)
func main() {
baseURL, _ := url.Parse("https://api.apis.guru/v2/specs/amazonaws.com/databrew/2017-07-25/datasets")
q := baseURL.Query()
q.Set("NextToken", "example")
q.Set("nextToken", "example")
q.Set("MaxResults", "example")
q.Set("maxResults", "1")
baseURL.RawQuery = q.Encode()
targetURL := baseURL.String()
req, _ := http.NewRequest("GET", targetURL, nil)
client := &http.Client{}
resp, _ := client.Do(req)
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}require "net/http"
require "json"
uri = URI("https://api.apis.guru/v2/specs/amazonaws.com/databrew/2017-07-25/datasets")
uri.query = URI.encode_www_form({
"NextToken" => "example",
"nextToken" => "example",
"MaxResults" => "example",
"maxResults" => "1"
})
http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = uri.scheme == "https"
req = Net::HTTP::Get.new(uri)
res = http.request(req)
puts JSON.parse(res.body)<?php
$url = "https://api.apis.guru/v2/specs/amazonaws.com/databrew/2017-07-25/datasets?" . http_build_query([
"NextToken" => "example",
"nextToken" => "example",
"MaxResults" => "example",
"maxResults" => "1"
]);
$opts = ["http" => [
"method" => "GET",
]];
$ctx = stream_context_create($opts);
$res = file_get_contents($url, false, $ctx);
print_r(json_decode($res, true));Lists all of the DataBrew projects that are defined.
Hover any highlighted part to learn what it does
curl -X GET "https://api.apis.guru/v2/specs/amazonaws.com/databrew/2017-07-25/projects?NextToken=example&nextToken=example&MaxResults=example&maxResults=1"
import requests
params = {
"NextToken": "example",
"nextToken": "example",
"MaxResults": "example",
"maxResults": "1"
}
response = requests.get(
"https://api.apis.guru/v2/specs/amazonaws.com/databrew/2017-07-25/projects",
params=params,
)
print(response.json())const url = new URL('https://api.apis.guru/v2/specs/amazonaws.com/databrew/2017-07-25/projects');
url.searchParams.set('NextToken', 'example');
url.searchParams.set('nextToken', 'example');
url.searchParams.set('MaxResults', 'example');
url.searchParams.set('maxResults', '1');
const response = await fetch(url);
const data = await response.json();
console.log(data);package main
import (
"fmt"
"io"
"net/http"
"net/url"
)
func main() {
baseURL, _ := url.Parse("https://api.apis.guru/v2/specs/amazonaws.com/databrew/2017-07-25/projects")
q := baseURL.Query()
q.Set("NextToken", "example")
q.Set("nextToken", "example")
q.Set("MaxResults", "example")
q.Set("maxResults", "1")
baseURL.RawQuery = q.Encode()
targetURL := baseURL.String()
req, _ := http.NewRequest("GET", targetURL, nil)
client := &http.Client{}
resp, _ := client.Do(req)
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}require "net/http"
require "json"
uri = URI("https://api.apis.guru/v2/specs/amazonaws.com/databrew/2017-07-25/projects")
uri.query = URI.encode_www_form({
"NextToken" => "example",
"nextToken" => "example",
"MaxResults" => "example",
"maxResults" => "1"
})
http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = uri.scheme == "https"
req = Net::HTTP::Get.new(uri)
res = http.request(req)
puts JSON.parse(res.body)<?php
$url = "https://api.apis.guru/v2/specs/amazonaws.com/databrew/2017-07-25/projects?" . http_build_query([
"NextToken" => "example",
"nextToken" => "example",
"MaxResults" => "example",
"maxResults" => "1"
]);
$opts = ["http" => [
"method" => "GET",
]];
$ctx = stream_context_create($opts);
$res = file_get_contents($url, false, $ctx);
print_r(json_decode($res, true));Lists all of the DataBrew recipes that are defined.
Hover any highlighted part to learn what it does
curl -X GET "https://api.apis.guru/v2/specs/amazonaws.com/databrew/2017-07-25/recipes?NextToken=example&nextToken=example&MaxResults=example&maxResults=1&recipeVersion=example"
import requests
params = {
"NextToken": "example",
"nextToken": "example",
"MaxResults": "example",
"maxResults": "1",
"recipeVersion": "example"
}
response = requests.get(
"https://api.apis.guru/v2/specs/amazonaws.com/databrew/2017-07-25/recipes",
params=params,
)
print(response.json())const url = new URL('https://api.apis.guru/v2/specs/amazonaws.com/databrew/2017-07-25/recipes');
url.searchParams.set('NextToken', 'example');
url.searchParams.set('nextToken', 'example');
url.searchParams.set('MaxResults', 'example');
url.searchParams.set('maxResults', '1');
url.searchParams.set('recipeVersion', 'example');
const response = await fetch(url);
const data = await response.json();
console.log(data);package main
import (
"fmt"
"io"
"net/http"
"net/url"
)
func main() {
baseURL, _ := url.Parse("https://api.apis.guru/v2/specs/amazonaws.com/databrew/2017-07-25/recipes")
q := baseURL.Query()
q.Set("NextToken", "example")
q.Set("nextToken", "example")
q.Set("MaxResults", "example")
q.Set("maxResults", "1")
q.Set("recipeVersion", "example")
baseURL.RawQuery = q.Encode()
targetURL := baseURL.String()
req, _ := http.NewRequest("GET", targetURL, nil)
client := &http.Client{}
resp, _ := client.Do(req)
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}require "net/http"
require "json"
uri = URI("https://api.apis.guru/v2/specs/amazonaws.com/databrew/2017-07-25/recipes")
uri.query = URI.encode_www_form({
"NextToken" => "example",
"nextToken" => "example",
"MaxResults" => "example",
"maxResults" => "1",
"recipeVersion" => "example"
})
http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = uri.scheme == "https"
req = Net::HTTP::Get.new(uri)
res = http.request(req)
puts JSON.parse(res.body)<?php
$url = "https://api.apis.guru/v2/specs/amazonaws.com/databrew/2017-07-25/recipes?" . http_build_query([
"NextToken" => "example",
"nextToken" => "example",
"MaxResults" => "example",
"maxResults" => "1",
"recipeVersion" => "example"
]);
$opts = ["http" => [
"method" => "GET",
]];
$ctx = stream_context_create($opts);
$res = file_get_contents($url, false, $ctx);
print_r(json_decode($res, true));Postman Setup Guide
- See official documentation for authentication and setup.
What can you build with AWS Glue DataBrew?
AWS Glue DataBrew is a Cloud API. Developers commonly use cloud APIs for:
- provisioning and managing cloud infrastructure
- automating deployments and container orchestration
- monitoring uptime and performance metrics
- managing storage buckets and databases
- setting up auto-scaling and load balancing
No authentication required. This API is open — no signup or key needed. Ideal for quick prototypes and public-facing features. AWS Glue DataBrew is free to use, making it a low-risk choice to experiment with.
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