# Meta Threads Profile Scraper (`apify/threads-profile-api-scraper`) Actor

Scrape Threads profile info. Add one or more Threads usernames and extract number of followers, bio, profile details, URLs, picture URL, full name, username and more. Download structured data in JSON, CSV, XML, Excel, and HTML to use in applications and reports.

- **URL**: https://apify.com/apify/threads-profile-api-scraper.md
- **Developed by:** [Apify](https://apify.com/apify) (Apify)
- **Categories:** Social media
- **Stats:** 1,879 total users, 271 monthly users, 100.0% runs succeeded, 42 bookmarks
- **User rating**: 4.95 out of 5 stars

## Pricing

$5.00 / 1,000 profiles

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

### What is Meta Threads Profile Scraper?

Meta Threads Profile Scraper is a powerful and easy-to-use tool that allows you to **extract data from the Threads app**. Using this tool, you will be able to scrape: 

- **all info from chosen public user profiles** including details: Meta Threads Profile URL and ID, picture URL and ID, username, full name, follower count, bio and latest posts.

- **limited info from chosen private user profiles** including details: Meta Threads Profile URL and ID, picture URL and ID, username, full name, follower count.

### How to use data extracted from Threads Profiles?

The data extracted from the Threads app can be used for a variety of purposes, including:

👩‍🔬 Obtaining data for research and **social listening experiments**

📊 Performing **competitor analysis** and market research

📈 **Tracking influencer engagement** and measuring campaign impact

🛒 Identifying trends, **customer preferences,** and product demand

📝 Fishing for **content creation ideas** and audience targeting

📉 Monitoring **brand reputation** and sentiment in real-time

🥸 **Detecting unverified content** and inaccurate information with high public value

### How do I use Meta Threads Profile Scraper?

Meta Threads Profile Scraper is designed to be user-friendly, even for those who have never extracted data from the web before! Here’s how you can use this Threads scraper to extract profile data:

1. [Create](https://apify.com/sign-in) an Apify account.
2. Open [Meta Threads Profile Scraper.](https://apify.com/apify/threads-profile-api-scraper)
3. Add one or more Threads usernames to scrape data.
4. Click the “Start” button and wait for the data to be extracted.
5. Download your data in JSON, XML, CSV, Excel, or HTML.

If you need guidance on how to run the scraper, you can read our step-by-step [guide to scraping Threads](https://blog.apify.com/how-to-scrape-threads/), it includes use cases, screenshots, and examples.

### Input

The input for Meta Threads Profile Scraper should be a **Threads username.**

Click on the [input tab](https://apify.com/apify/threads-profile-api-scraper/input-schema) for a full explanation of an input example in JSON.

```json
{
  "profiles": [
    "puregymofficial"
  ]
}

````

### Output sample

The results will be wrapped into a dataset which you can always find in the **Storage** tab. Here's an excerpt from the data you'd get if you apply the input parameters above. You can choose in which format to download profile data from Threads: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

```json
{
	"url": "https://www.threads.net/@puregymofficial",
	"is_private": false,
	"pk": "187254208",
	"text_post_app_is_private": false,
	"friendship_status": null,
	"profile_pic_url": "https://scontent-lhr6-1.cdninstagram.com/v/t51.2885-19/358161134_800813281649018_5394398049216076130_n.jpg?stp=dst-jpg_s150x150_tt6&_nc_ht=scontent-lhr6-1.cdninstagram.com&_nc_cat=102&_nc_ohc=qu-_Ew84rdUQ7kNvgFSrAKT&_nc_gid=fec23bdc7fa54457babe37352046d076&edm=APs17CUBAAAA&ccb=7-5&oh=00_AYDK9DCSol28EFE5qfwY9NMMTw3eBUv-nstMnInUbVQ6ig&oe=67AB79D3&_nc_sid=10d13b",
	"username": "puregymofficial",
	"text_post_app_remove_mention_entrypoint": null,
	"show_text_post_app_replies_tab": true,
	"gating": null,
	"follower_count": 35766,
	"profile_context_facepile_users": null,
	"hd_profile_pic_versions": [
		{
			"height": 320,
			"url": "https://scontent-lhr6-1.cdninstagram.com/v/t51.2885-19/358161134_800813281649018_5394398049216076130_n.jpg?stp=dst-jpg_s320x320_tt6&_nc_ht=scontent-lhr6-1.cdninstagram.com&_nc_cat=102&_nc_ohc=qu-_Ew84rdUQ7kNvgFSrAKT&_nc_gid=fec23bdc7fa54457babe37352046d076&edm=APs17CUBAAAA&ccb=7-5&oh=00_AYB1I1i6q7S2kCgHCDu-SQv858RnUlANwY3wk8d7HtSSXA&oe=67AB79D3&_nc_sid=10d13b",
			"width": 320
		}
	],
	"is_verified": true,
	"biography": "💪 Get way more than you pay for at PureGym \n💙 Everybody welcome at the UK's favourite gym \nJoin NOW 👇",
	"text_app_biography": {
		"text_fragments": {
			"fragments": [
				{
					"fragment_type": "plaintext",
					"link_fragment": null,
					"mention_fragment": null,
					"plaintext": "💪 Get way more than you pay for at PureGym \n💙 Everybody welcome at the UK's favourite gym \nJoin NOW 👇",
					"tag_fragment": null,
					"linkified_web_url": null
				}
			]
		}
	},
	"full_name": "PureGym",
	"bio_links": [
		{
			"url": "https://linkin.bio/puregymofficial",
			"is_verified": false,
			"link_id": "18014587279677564"
		}
	],
	"transparency_label": null,
	"is_threads_only_user": false,
	"show_text_post_app_badge": true,
	"id": "187254208",
	"latestPosts": [
		{
			"id": "3559898176278369487_187254208",
			"pk": "3559898176278369487",
			"user": {
				"friendship_status": null,
				"pk": "187254208",
				"profile_pic_url": "https://scontent-lhr6-1.cdninstagram.com/v/t51.2885-19/358161134_800813281649018_5394398049216076130_n.jpg?stp=dst-jpg_s150x150_tt6&_nc_ht=scontent-lhr6-1.cdninstagram.com&_nc_cat=102&_nc_ohc=qu-_Ew84rdUQ7kNvgFSrAKT&_nc_gid=8cac7e791b454cd1a547eca0b707f148&edm=APs17CUBAAAA&ccb=7-5&oh=00_AYAsIxEF3rQqHuEdRmQZLCyYTVbuVdBQKXGPwj_ZbaNNlQ&oe=67AB79D3&_nc_sid=10d13b",
				"username": "puregymofficial",
				"id": "187254208",
				"transparency_label": null,
				"transparency_product": null,
				"transparency_product_enabled": false,
				"is_verified": true
			},
			"is_paid_partnership": null,
			"audio": null,
			"caption": {
				"text": "Save the date: Tuesday 11th February, 2pm-8pm! Join us for our unmissable Fitness Social 🎉\n \nGiveaways ✅\nChallenges ✅\nClasses ✅\nWorkshops ✅\nExtras & surprises ✅\n \nAnd the best part, you don’t even need to be a member to attend!\n \nRegister and find out more here: https://www.eventbrite.com/e/the-fitness-social-tickets-1142782245459?utm_source=threads&utm_medium=sm&utm_campaign=fitness+social+sign+up\n \n#PureGym #Giveaways #GymWorkouts",
				"pk": "18091130500529476",
				"has_translation": null
			},
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			"transcription_data": null,
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			},
			"original_height": 1920,
			"original_width": 1080,
			"accessibility_caption": null,
			"text_post_app_info": {
				"is_markup": false,
				"custom_feed_preview_info": null,
				"link_preview_attachment": null,
				"linked_inline_media": null,
				"text_fragments": {
					"fragments": [
						{
							"fragment_type": "plaintext",
							"plaintext": "Save the date: Tuesday 11th February, 2pm-8pm! Join us for our unmissable Fitness Social 🎉\n \nGiveaways ✅\nChallenges ✅\nClasses ✅\nWorkshops ✅\nExtras & surprises ✅\n \nAnd the best part, you don’t even need to be a member to attend!\n \nRegister and find out more here: ",
							"link_fragment": null,
							"mention_fragment": null,
							"tag_fragment": null,
							"linkified_web_url": null
						},
						{
							"fragment_type": "link",
							"plaintext": "https://www.eventbrite.com/e/the-fitness-social-tickets-1142782245459?utm_source=threads&utm_medium=sm&utm_campaign=fitness+social+sign+up",
							"link_fragment": {
								"uri": "https://www.eventbrite.com/e/the-fitness-social-tickets-1142782245459?utm_source=threads&utm_medium=sm&utm_campaign=fitness+social+sign+up",
								"display_text": "eventbrite.com/e/the…"
							},
							"mention_fragment": null,
							"tag_fragment": null,
							"linkified_web_url": null
						},
						{
							"fragment_type": "plaintext",
							"plaintext": "\n \n#PureGym #Giveaways #GymWorkouts",
							"link_fragment": null,
							"mention_fragment": null,
							"tag_fragment": null,
							"linkified_web_url": null
						}
					]
				},
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				"reshare_count": null,
				"direct_reply_count": 0,
				"repost_count": 0,
				"quote_count": 0,
				"share_info": {
					"quoted_attachment_author_attribution_allowed": true,
					"quoted_attachment_post_unavailable": false,
					"quoted_attachment_post": null,
					"quoted_post": null,
					"reposted_post": null
				},
				"reply_to_author": null,
				"reply_control": "everyone",
				"private_reply_partner": null,
				"pinned_post_info": {
					"is_pinned_to_parent_post": false,
					"is_pinned_to_profile": false
				},
				"related_trends_info": null,
				"is_reply": false,
				"is_post_unavailable": false,
				"post_unavailable_reason": null,
				"hush_info": null
			},
			"video_versions": [
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				},
				{
					"type": 102,
					"url": "https://scontent-lhr8-2.cdninstagram.com/o1/v/t16/f2/m367/AQNIMqNqkbDEn2Ebsv72OuLz2HArkKF3w61T5rOHzjnGB-hKuHq-L_2z1EM6Yxl-warMNFQMlSxa9v5K73pZ9fN6l3hLWdIE8lP8Weo.mp4?stp=dst-mp4&efg=eyJxZV9ncm91cHMiOiJbXCJpZ193ZWJfZGVsaXZlcnlfdnRzX290ZlwiXSIsInZlbmNvZGVfdGFnIjoidnRzX3ZvZF91cmxnZW4uZmVlZC5jMi4xMDgwLmJhc2VsaW5lIn0&_nc_cat=101&vs=625206829995427_2296123881&_nc_vs=HBksFQIYQGlnX2VwaGVtZXJhbC84RDQyMjFGNUQwREYxQUI5Mjk3OUVEOEU2RTc3RDdBOV92aWRlb19kYXNoaW5pdC5tcDQVAALIAQAVAhg6cGFzc3Rocm91Z2hfZXZlcnN0b3JlL0dIbkZYaHlZQnBibi0zb0RBRHc5SVZBZ1Uxa3Ria1lMQUFBRhUCAsgBACgAGAAbABUAACa40daqmNySQBUCKAJDMywXQB5mZmZmZmYYFmRhc2hfYmFzZWxpbmVfMTA4MHBfdjERAHXqBwA%3D&_nc_rid=8cac7a1016&ccb=9-4&oh=00_AYD5_j795aJ9SfVdTpkzf8qpWrWobeG3T7KRVPUkUI4Xnw&oe=67A79044&_nc_sid=10d13b"
				}
			],
			"has_audio": true,
			"media_type": 2,
			"caption_add_on": null,
			"giphy_media_info": null,
			"is_fb_only": null,
			"media_overlay_info": null,
			"sharing_friction_info": {
				"should_have_sharing_friction": false,
				"sharing_friction_payload": null
			},
			"like_count": 4,
			"gen_ai_detection_method": null,
			"metaPlace": null,
			"taken_at": 1738592969,
			"organic_tracking_token": "eyJ2ZXJzaW9uIjo1LCJwYXlsb2FkIjp7ImlzX2FuYWx5dGljc190cmFja2VkIjp0cnVlLCJ1dWlkIjoiOGNhYzdlNzkxYjQ1NGNkMWE1NDdlY2EwYjcwN2YxNDgzNTU5ODk4MTc2Mjc4MzY5NDg3In0sInNpZ25hdHVyZSI6IiJ9",
			"meta_place": null,
			"logging_info_token": null,
			"like_and_view_counts_disabled": false
		}
	]
}
```

### Want to try other Threads APIs and scrapers?

Use the dedicated scrapers below if you want to scrape specific public data from Threads. Each of them is built particularly for the relevant scraping case be it posts, replies or Threads video download. Feel free to browse them:

<table>
<tr>
<td><a href="https://apify.com/tiger_king/meta-threads-scraper">🧵 Meta Threads Scraper</a></td>
<td><a href="https://apify.com/epctex/threads-video-downloader">📹 Threads Video Downloader</a></td>
</tr>
<tr>
<td><a href="https://apify.com/supernovo.ai/instagram-threads-scraper">💬 Instagram Threads Scraper</a></td>
<td><a href="https://apify.com/mscraper/instagram-threads-post-scraper">📩 Instagram Threads Post Scraper</a></td>
</tr>
<tr>
<td>👤 <a href="https://apify.com/apify/instagram-profile-scraper">Instagram Profile Scraper</a></td>
<td>📷 <a href="https://apify.com/apify/instagram-scraper">Instagram Scraper</a></td>
</tr>
</table>

### FAQ

#### Can I scrape both Instagram and Threads profiles?

Yes. You can scrape both Threads users and Instagram profiles since they share the usernames. By using scraping techniques, you can extract data from Meta platforms simultaneously and get insights into user profiles and their activities on both Meta platforms. You may want to check out our [Instagram scrapers](https://apify.com/store?search=instagram) as well.

#### Is it legal to scrape data from Threads?

Our [Threads scrapers](https://apify.com/store?search=threads) are ethical and **do not extract any private user data, such as email addresses, gender, or location**. They only extract what the user has chosen to share publicly. However, you should be aware that your **results could contain personal data.** You should not scrape personal data unless you have a legitimate reason to do so.

If you're unsure whether your reason is legitimate, consult your lawyers. You can also read our blog post on the [legality of web scraping](https://blog.apify.com/is-web-scraping-legal/) and [ethical scraping](https://blog.apify.com/what-is-ethical-web-scraping-and-how-do-you-do-it/).

#### Do I need proxies to scrape Meta Threads Profiles?

If you run the scraper on the Apify platform, for successful Instagram scraping you will need [residential proxies](https://apify.com/proxy?pricing=residential-ip#pricing) which are included in Apify's **monthly Starter plan ($49)**.

For more details about how our pricing works, platform credits, proxies, and usage, see the [platform pricing page](https://apify.com/pricing/actors).

#### Can I integrate this Threads scraper with other apps?

Yes. Meta Threads Profile Scraper can be connected with almost any cloud service or web app thanks to [integrations on the Apify platform](https://apify.com/integrations). You can **integrate with LangChain, Make, Trello, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, Asana,** <a  href="https://docs.apify.com/integrations" target="_blank">and more</a>.

You can also use  <a  href="https://docs.apify.com/integrations/webhooks"  target="_blank">webhooks</a> to carry out an action whenever an event occurs, e.g., get a notification whenever Meta Threads Profile Scraper successfully finishes a run.

#### Can I use Meta Threads Profile Scraper with the API?

Yes, with the Apify API. This API gives you programmatic access to the Apify platform. The API is organized around RESTful HTTP endpoints that enable you to manage, schedule, and run Apify Actors. The API also lets you access any datasets, monitor Actor performance, fetch results, create and update versions, and more. To access the API using Node.js, use the `apify-client` NPM package. To access the API using Python, use the `apify-client` PyPi package.

Check out the [Apify API reference](https://docs.apify.com/api/v2) docs for full details or click on the [API tab](https://apify.com/apify/threads-profile-api-scraper/api) for code examples.

#### Your feedback

We’re always working on improving the performance of our Actors. So if you’ve got any technical feedback for Meta Threads Profile Scraper or simply found a bug, please create an issue on the Actor’s [Issues tab](https://console.apify.com/actors/kJdK90pa2hhYYrCK5/issues) in Apify Console.

# Actor input Schema

## `usernames` (type: `array`):

Provide one or several Threads.Net user names you want to scrape.

## Actor input object example

```json
{
  "usernames": [
    "guinnessworldrecords"
  ]
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "usernames": [
        "guinnessworldrecords"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("apify/threads-profile-api-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "usernames": ["guinnessworldrecords"] }

# Run the Actor and wait for it to finish
run = client.actor("apify/threads-profile-api-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "usernames": [
    "guinnessworldrecords"
  ]
}' |
apify call apify/threads-profile-api-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=apify/threads-profile-api-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Meta Threads Profile Scraper",
        "description": "Scrape Threads profile info. Add one or more Threads usernames and extract number of followers, bio, profile details, URLs, picture URL, full name, username and more. Download structured data in JSON, CSV, XML, Excel, and HTML to use in applications and reports.",
        "version": "0.0",
        "x-build-id": "aOYXGNYLwSVYUMpGv"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/apify~threads-profile-api-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-apify-threads-profile-api-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/apify~threads-profile-api-scraper/runs": {
            "post": {
                "operationId": "runs-sync-apify-threads-profile-api-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/apify~threads-profile-api-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-apify-threads-profile-api-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "usernames"
                ],
                "properties": {
                    "usernames": {
                        "title": "Threads.Net username(s)",
                        "type": "array",
                        "description": "Provide one or several Threads.Net user names you want to scrape.",
                        "items": {
                            "type": "string"
                        }
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
