# Facebook Ads Library Scraper - Low-cost๐ฒ๐ฅ๐ฏ๐ (`delectable_incubator/facebook-ads-library-scraper-low-cost`) Actor
Scrape Facebook (Meta) Ads data ๐๐ from one or multiple pages with a powerful ad intelligence scraper. Extract ad IDs, page details, impressions, reach estimates, creatives, and campaign insights. Export data in JSON, CSV, or Excel for marketing analysis, competitor research and ad monitoring ๐๐ป
- **URL**: https://apify.com/delectable\_incubator/facebook-ads-library-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Lead generation, Social media, E-commerce
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.005 / actor start
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
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
---
## Facebook Ads Library Scraper ๐ฏ๐
The Facebook Ads Library Scraper is a powerful and scalable Apify Actor designed to extract structured advertising data directly from the Facebook Ads Library.
It enables ad intelligence, competitor monitoring, social media marketing analysis, political ad research, brand tracking, trend monitoring, media analysis, and structured ad dataset generation across Facebook and Instagram advertising ecosystems.
---
### ๐ฏ What This Scraper Does
Simply provide one or multiple keywords and configure your filters โ the scraper handles everything automatically.
โ
Extracts structured Facebook Ads Library results
โ
Supports bulk keyword scraping
โ
Automatically processes ad listings
โ
Handles pagination automatically
โ
Supports authentication for restricted access
โ
Extracts detailed ad metadata
โ
Collects advertiser and page information
โ
Captures media URLs and CTA data
โ
Supports country-based filtering
โ
Supports active/inactive ads filtering
โ
Generates clean and structured datasets
โ
Ready for analytics and monitoring workflows
โ
Export-ready output format
---
### ๐ Data Extracted
#### ๐ข Advertisement Information
| Field | Description |
| ---------------------- | ---------------------------- |
| ๐ adArchiveId | Unique ad archive identifier |
| ๐ค pageName | Facebook page name |
| ๐ pageId | Facebook page ID |
| ๐ pageLikeCount | Page like count |
| ๐ adText | Advertisement text |
| ๐ฌ ctaType | Call-to-action type |
| ๐ linkUrl | Destination URL |
| ๐ impressions | Ad impressions data |
| ๐
startDate | Ad start date |
| ๐
endDate | Ad end date |
| ๐ผ๏ธ imageUrls | Advertisement image URLs |
| ๐ฅ videoUrls | Advertisement video URLs |
| ๐ publisherPlatforms | Platforms where ads appeared |
| ๐ท๏ธ categories | Ad categories |
| ๐ด isActive | Whether the ad is active |
| โ ๏ธ sensitiveContent | Sensitive content indicator |
| ๐ค digitalCreatedMedia | AI-generated media indicator |
---
### ๐ How to Use
#### 1๏ธโฃ Configure Input
Provide your scraping configuration:
````
{
"bulk\_keywords": "marketing\nbusiness\nfitness",
"country\_name": "United States ๐บ๐ธ",
"active\_status": "active",
"ad\_type": "all",
"media\_type": "all",
"publisher\_platforms": "facebook",
"max\_items\_per\_keyword": 100
}
```
#### 2๏ธโฃ Run the Actor
โข Loads Facebook Ads Library pages
โข Processes ad listings automatically
โข Extracts structured advertising data
โข Collects advertiser and engagement metadata
โข Applies filters and limits
โข Stops automatically when limits are reached
#### 3๏ธโฃ Export the Dataset
Download your results in multiple formats:
โ
JSON
โ
CSV
โ
Excel
โ
XML
โ
HTML
---
### โ๏ธ Input Configuration
#### ๐ฅ Input Example
```
{
"email": "yourfacebook@email.com",
"password": "yourpassword",
"bulk\_keywords": "marketing\nbusiness\nfitness",
"country\_name": "United States ๐บ๐ธ",
"active\_status": "active",
"ad\_type": "all",
"media\_type": "all",
"publisher\_platforms": "facebook",
"start\_date\_min": "2023-01-01",
"start\_date\_max": "2025-01-01",
"max\_items\_per\_keyword": 100
}
```
#### Input Fields
| Field | Type | Description |
| --------------------- | ------- | ----------------------------------- |
| email | string | Facebook account email |
| password | string | Facebook account password |
| bulk_keywords | string | Multiple keywords (one per line) |
| max_items_per_keyword | integer | Maximum ads to scrape per keyword |
| country_name | string | Country filter |
| active_status | string | Active/inactive/all ads |
| ad_type | string | Ad category type |
| media_type | string | Media type filter |
| publisher_platforms | string | Facebook, Instagram, Messenger, etc |
| start_date_min | string | Minimum ad start date |
| start_date_max | string | Maximum ad start date |
---
### ๐ค Output Example
```
{
"adArchiveId": "1558115924841774",
"pageName": "Israr Ahmed Digital",
"pageId": "513604698500641",
"pageLikeCount": 37,
"ctaType": "LIKE\_PAGE",
"linkUrl": "https://www.facebook.com/513604698500641",
"adText": "Your growth starts with the right decisions!",
"publisherPlatforms": \[
"FACEBOOK"
],
"isActive": true,
"startDateFormatted": "2024-12-20",
"endDateFormatted": "2024-12-22"
}
````
---
### ๐ Output Explanation
| Use Case | Description |
| -------------------------- | ----------------------------------------- |
| ๐ Competitor Analysis | Monitor competitor advertising campaigns |
| ๐ฏ Ad Intelligence | Analyze ad creatives and strategies |
| ๐ Market Research | Study advertising trends and niches |
| ๐ง AI & NLP Training | Build structured ad datasets |
| ๐ Political Ad Monitoring | Track political and issue-based campaigns |
| ๐ค Automation Pipelines | Feed advertising data into workflows |
---
### ๐ Why Use This Scraper?
๐ Extract Facebook and Instagram advertising data at scale
๐ฏ Analyze competitor ad campaigns
๐ Monitor ad trends across industries
๐ Scrape ads from multiple countries
โก Fast and automated extraction
๐ค Automation-ready structured output
๐ฆ Bulk keyword scraping support
๐ง Ideal for marketers, analysts, agencies, and researchers
๐ Scalable for small and enterprise workloads
---
### โ FAQ
#### How does this scraper work?
The scraper loads Facebook Ads Library pages and extracts structured advertising information including ad text, advertiser details, media URLs, CTA data, impressions, and dates.
#### Can I scrape multiple keywords in one run?
Yes. You can provide multiple keywords using the bulk_keywords field.
#### Does the scraper support authentication?
Yes. Facebook account credentials can be provided to access restricted content when necessary.
#### Can I filter by country?
Yes. The scraper supports many countries and global filtering.
#### Can I collect image and video ads?
Yes. The scraper supports image, meme, video, and mixed media filtering.
#### Does the scraper support Instagram ads?
Yes. You can filter by publisher platforms including Facebook, Instagram, Messenger, and Audience Network.
#### Is the data collected live?
Yes. Data is extracted directly from Facebook Ads Library during every run.
#### What export formats are supported?
JSON, CSV, Excel, XML, and HTML.
#### Can I use the extracted data commercially?
Yes. The extracted data can be used for analytics, monitoring, marketing research, automation, and commercial applications.
#### What happens if the scraper fails?
The Actor includes retry mechanisms and automated error handling to improve reliability.
#### How long does a run take?
Most runs complete within minutes depending on the number of keywords and requested results.
---
### ๐ How to Use
1๏ธโฃ Sign up โ Create a free Apify account
2๏ธโฃ Find the tool โ Search for "Facebook Ads Library Scraper" in the Apify Store
3๏ธโฃ Configure keywords โ Add one or multiple keywords
4๏ธโฃ Select filters โ Configure countries, media types, and ad filters
5๏ธโฃ Run it โ Start the Actor and wait for extraction
6๏ธโฃ Export data โ Download results in JSON, CSV, Excel, XML, or HTML
---
### โ ๏ธ Disclaimer
This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by Facebook or Meta Platforms Inc.
---
### ๐ธ Pricing
This scraper runs on a **pay-per-result pricing model**.
You only pay for successfully extracted records.
๐ณ **Price:** $0.69 / 1,000 results
---
### ๐ Supported Countries
The scraper supports Facebook Ads Library extraction across many countries including:
๐บ๐ธ United States
๐ฌ๐ง United Kingdom
๐ซ๐ท France
๐ฉ๐ช Germany
๐จ๐ฆ Canada
๐ง๐ท Brazil
๐ฎ๐ณ India
๐ฆ๐บ Australia
๐ฆ๐ช United Arab Emirates
๐ธ๐ฆ Saudi Arabia
๐ช๐ธ Spain
๐ฎ๐น Italy
๐ณ๐ฑ Netherlands
๐น๐ท Turkey
๐ฒ๐ฝ Mexico
๐ ALL countries supported by Facebook Ads Library
---
### Related Actors
If you're interested in other Social Media, Ads Intelligence, Marketing, Lead Generation, or Analytics scraping solutions, explore more tools:
(Coming Soon)
---
### ๐ฌ Support
โญโญโญโญโญ Leave a 5-star rating if you like this tool
---
### ๐ PrimeScrape
Built for scalable web data extraction & automation.
Contact us for custom scraping solutions or enterprise requests via Apify or email.
# Actor input Schema
## `email` (type: `string`):
Your Facebook account email address ๐ง
## `password` (type: `string`):
Your Facebook account password ๐
## `bulk_keywords` (type: `string`):
Enter one keyword per line to scrape ads for multiple keywords โ๏ธ๐
## `max_items_per_keyword` (type: `integer`):
The maximum number of ads to fetch for each keyword ๐ข
## `country_name` (type: `string`):
Select country to scrape ads from ๐
## `active_status` (type: `string`):
The type of the active_status ๐ข๐ดโช
## `ad_type` (type: `string`):
The type of the ads (credit_ads = financials services) ๐ฏ
## `media_type` (type: `string`):
The type of the media (none means no image or video)
## `publisher_platforms` (type: `string`):
Choose a social media plateforme ๐
## `start_date_min` (type: `string`):
Date of start_date min search ๐
## `start_date_max` (type: `string`):
Date of start_date max search ๐
## Actor input object example
```json
{
"bulk_keywords": "marketing\nbusiness\nfitness",
"max_items_per_keyword": 100,
"country_name": "ALL ๐",
"active_status": "all",
"ad_type": "all",
"media_type": "all",
"publisher_platforms": "all",
"start_date_min": "2018-05-09",
"start_date_max": "2026-04-15"
}
````
# Actor output Schema
## `overview` (type: `string`):
No description
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"bulk_keywords": `marketing
business
fitness`,
"max_items_per_keyword": 100,
"country_name": "ALL ๐",
"active_status": "all",
"ad_type": "all",
"media_type": "all",
"publisher_platforms": "all",
"start_date_min": "2018-05-09",
"start_date_max": "2026-04-15"
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/facebook-ads-library-scraper-low-cost").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"bulk_keywords": """marketing
business
fitness""",
"max_items_per_keyword": 100,
"country_name": "ALL ๐",
"active_status": "all",
"ad_type": "all",
"media_type": "all",
"publisher_platforms": "all",
"start_date_min": "2018-05-09",
"start_date_max": "2026-04-15",
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/facebook-ads-library-scraper-low-cost").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"bulk_keywords": "marketing\\nbusiness\\nfitness",
"max_items_per_keyword": 100,
"country_name": "ALL ๐",
"active_status": "all",
"ad_type": "all",
"media_type": "all",
"publisher_platforms": "all",
"start_date_min": "2018-05-09",
"start_date_max": "2026-04-15"
}' |
apify call delectable_incubator/facebook-ads-library-scraper-low-cost --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=delectable_incubator/facebook-ads-library-scraper-low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Facebook Ads Library Scraper - Low-cost๐ฒ๐ฅ๐ฏ๐",
"description": "Scrape Facebook (Meta) Ads data ๐๐ from one or multiple pages with a powerful ad intelligence scraper. Extract ad IDs, page details, impressions, reach estimates, creatives, and campaign insights. Export data in JSON, CSV, or Excel for marketing analysis, competitor research and ad monitoring ๐๐ป",
"version": "0.0",
"x-build-id": "IK9rQ096Nj1w1SwQ9"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~facebook-ads-library-scraper-low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-facebook-ads-library-scraper-low-cost",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~facebook-ads-library-scraper-low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-facebook-ads-library-scraper-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~facebook-ads-library-scraper-low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-facebook-ads-library-scraper-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"email",
"password",
"bulk_keywords"
],
"properties": {
"email": {
"title": "Facebook account email ๐ง",
"type": "string",
"description": "Your Facebook account email address ๐ง"
},
"password": {
"title": "Facebook account password ๐",
"type": "string",
"description": "Your Facebook account password ๐"
},
"bulk_keywords": {
"title": "Keywords (one per line) โ๏ธ๐",
"type": "string",
"description": "Enter one keyword per line to scrape ads for multiple keywords โ๏ธ๐",
"default": "marketing\nbusiness\nfitness"
},
"max_items_per_keyword": {
"title": "Max ads per keyword ๐ข",
"type": "integer",
"description": "The maximum number of ads to fetch for each keyword ๐ข",
"default": 100
},
"country_name": {
"title": "Select country to scrape ads from ๐",
"enum": [
"United States ๐บ๐ธ",
"United Kingdom ๐ฌ๐ง",
"India ๐ฎ๐ณ",
"Aland Islands ๐ฆ๐ฝ",
"Albania ๐ฆ๐ฑ",
"Algeria ๐ฉ๐ฟ",
"American Samoa ๐ฆ๐ธ",
"Andorra ๐ฆ๐ฉ",
"Argentina ๐ฆ๐ท",
"Australia ๐ฆ๐บ",
"Austria ๐ฆ๐น",
"Belgium ๐ง๐ช",
"Brazil ๐ง๐ท",
"Canada ๐จ๐ฆ",
"Chile ๐จ๐ฑ",
"Colombia ๐จ๐ด",
"Ivory Coast ๐จ๐ฎ",
"Croatia ๐ญ๐ท",
"Czechia ๐จ๐ฟ",
"Denmark ๐ฉ๐ฐ",
"Dominican Republic ๐ฉ๐ด",
"Egypt ๐ช๐ฌ",
"Finland ๐ซ๐ฎ",
"France ๐ซ๐ท",
"Germany ๐ฉ๐ช",
"Indonesia ๐ฎ๐ฉ",
"Italy ๐ฎ๐น",
"Luxembourg ๐ฑ๐บ",
"Malaysia ๐ฒ๐พ",
"Mexico ๐ฒ๐ฝ",
"Monaco ๐ฒ๐จ",
"Morocco ๐ฒ๐ฆ",
"Netherlands ๐ณ๐ฑ",
"Nigeria ๐ณ๐ฌ",
"Norway ๐ณ๐ด",
"Pakistan ๐ต๐ฐ",
"Palestine ๐ต๐ธ",
"Philippines ๐ต๐ญ",
"Poland ๐ต๐ฑ",
"Portugal ๐ต๐น",
"Qatar ๐ถ๐ฆ",
"Saudi Arabia ๐ธ๐ฆ",
"Senegal ๐ธ๐ณ",
"Singapore ๐ธ๐ฌ",
"South Africa ๐ฟ๐ฆ",
"Spain ๐ช๐ธ",
"Sweden ๐ธ๐ช",
"Switzerland ๐จ๐ญ",
"Thailand ๐น๐ญ",
"Turkey ๐น๐ท",
"Russia ๐ท๐บ",
"China ๐จ๐ณ",
"Ukraine ๐บ๐ฆ",
"United Arab Emirates ๐ฆ๐ช",
"Vietnam ๐ป๐ณ",
"ALL ๐"
],
"type": "string",
"description": "Select country to scrape ads from ๐",
"default": "ALL ๐"
},
"active_status": {
"title": "Choose a Type of active_status ๐ข๐ดโช",
"enum": [
"active",
"inactive",
"all"
],
"type": "string",
"description": "The type of the active_status ๐ข๐ดโช",
"default": "all"
},
"ad_type": {
"title": "Choose a Type of ads (credit_ads = financials services) ๐ฏ",
"enum": [
"all",
"political_and_issue_ads",
"employment_ads",
"housing_ads",
"credit_ads"
],
"type": "string",
"description": "The type of the ads (credit_ads = financials services) ๐ฏ",
"default": "all"
},
"media_type": {
"title": "Choose a Type of media (none means no image or video) ๐ผ๏ธ๐น",
"enum": [
"all",
"image",
"meme",
"image_and_meme",
"video",
"none"
],
"type": "string",
"description": "The type of the media (none means no image or video)",
"default": "all"
},
"publisher_platforms": {
"title": "Choose a social media plateforme ๐",
"enum": [
"all",
"instagram",
"facebook",
"audience_network",
"messenger"
],
"type": "string",
"description": "Choose a social media plateforme ๐",
"default": "all"
},
"start_date_min": {
"title": "Date of start_date min search ๐
",
"type": "string",
"description": "Date of start_date min search ๐
",
"default": "2018-05-09"
},
"start_date_max": {
"title": "Date of start_date max search ๐
",
"type": "string",
"description": "Date of start_date max search ๐
",
"default": "2026-04-15"
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```