# RePEc Economics Papers Scraper (`parseforge/repec-economics-scraper`) Actor

Scrape economics research papers from RePEc covering NBER, Federal Reserve, IZA, ECB and more. Get titles, abstracts, authors, JEL codes, keywords, and publication dates for millions of economics working papers and journal articles.

- **URL**: https://apify.com/parseforge/repec-economics-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Education, Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 results

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

![ParseForge Banner](https://raw.githubusercontent.com/ParseForge/apify-assets/main/banner.jpg)

## 📚 RePEc Economics Papers Scraper

🚀 Collect economics papers from any RePEc series with titles, authors, abstracts, publication dates, JEL codes, keywords, publishers, and journal information. Cover NBER, IZA, ECB, Fed, CEPR, and thousands more series.

🕒 Last updated: 2026-04-23

RePEc (Research Papers in Economics) indexes over 4 million working papers, journal articles, and books from top economics institutions worldwide. This tool pulls structured paper records from any RePEc series with full metadata.

The RePEc Economics Scraper collects paper titles, full author lists, abstracts, publication dates, JEL classification codes, keywords, publisher information, and journal titles. It supports 3,000+ series including NBER Working Papers, IZA Discussion Papers, ECB Working Papers, and Fed research.

| | |
|---|---|
| **Target Audience** | Academic researchers, think tanks, central banks, economic consultancies, economics recruiters, financial journalists |
| **Primary Use Cases** | Literature reviews, research monitoring, institution tracking, paper discovery, bibliometric analysis, reading list building |


---

### 📋 What Does It Do

- Collects paper titles, full author lists, and abstracts
- Extracts publication dates and years
- Captures JEL classification codes for subject categorization
- Gets author-supplied keywords for each paper
- Includes publisher, journal title, and technical report numbers
- Identifies citation type (working paper, journal article, chapter, book)
- Supports 3,000+ RePEc series including NBER, IZA, ECB, Fed, and CEPR


---

### 🎬 How to Use - Full Demo

🚧 Demo video coming soon.


---

### ⚙️ Input

<table>
  <tr>
    <th>Field</th>
    <th>Type</th>
    <th>Description</th>
    <th>Default</th>
  </tr>
  <tr>
    <td><strong>Max Items</strong></td>
    <td><code>integer</code></td>
    <td>Free users: limited to 10 items. Paid users: up to 1,000,000</td>
    <td><code>10</code></td>
  </tr>
  <tr>
    <td><strong>Series Handle</strong></td>
    <td><code>string</code></td>
    <td>Two-part archive/series handle (e.g., nbr/nberwo for NBER Working Papers)</td>
    <td><code>nbr/nberwo</code></td>
  </tr>
</table>

**Example 1:**

```json
{
    "seriesHandle": "nbr/nberwo",
    "maxItems": 100
}
````

**Example 2:**

```json
{
    "seriesHandle": "iza/izadps",
    "maxItems": 50
}
```

⚠️ Series handles are two-part identifiers (archive/series). Visit ideas.repec.org to browse available series and find handles.

***

### 📊 Output

🧾 **Schema:** handle, title, authors, abstract, publicationDate, year, jelCodes, keywords, publisher, journalTitle, reportNumber, citationType, url, scrapedAt

📦 **Sample 1:**

```json
{
    "handle": "RePEc:nbr:nberwo:32345",
    "title": "Monetary Policy and Inflation Expectations",
    "authors": ["Jane Smith", "John Doe"],
    "abstract": "We examine how monetary policy shocks affect household inflation expectations...",
    "publicationDate": "2026-03-15",
    "year": 2026,
    "jelCodes": ["E31", "E52", "E58"],
    "keywords": ["monetary policy", "inflation expectations", "household survey"],
    "publisher": "National Bureau of Economic Research, Inc",
    "reportNumber": "32345",
    "citationType": "working paper",
    "url": "https://ideas.repec.org/p/nbr/nberwo/32345.html",
    "scrapedAt": "2026-04-10T12:00:00.000Z"
}
```

📦 **Sample 2:**

```json
{
    "handle": "RePEc:iza:izadps:dp16789",
    "title": "Labor Market Effects of Immigration Policies",
    "authors": ["Maria Garcia", "Thomas Mueller"],
    "abstract": "This paper analyzes the impact of recent immigration policies on local labor markets...",
    "publicationDate": "2026-02-01",
    "year": 2026,
    "jelCodes": ["J61", "J23"],
    "keywords": ["immigration", "labor markets", "wage effects"],
    "publisher": "Institute of Labor Economics (IZA)",
    "reportNumber": "16789",
    "citationType": "working paper",
    "url": "https://ideas.repec.org/p/iza/izadps/dp16789.html",
    "scrapedAt": "2026-04-10T12:00:00.000Z"
}
```

📦 **Sample 3:**

```json
{
    "handle": "RePEc:ecb:ecbwps:2026:3001",
    "title": "Digital Euro and Monetary Transmission",
    "authors": ["ECB Research Team"],
    "abstract": "We study the potential effects of a central bank digital currency on monetary transmission...",
    "publicationDate": "2026-01-20",
    "year": 2026,
    "jelCodes": ["E42", "E58", "G21"],
    "keywords": ["CBDC", "digital euro", "monetary policy"],
    "publisher": "European Central Bank",
    "reportNumber": "3001",
    "citationType": "working paper",
    "url": "https://ideas.repec.org/p/ecb/ecbwps/20263001.html",
    "scrapedAt": "2026-04-10T12:00:00.000Z"
}
```

***

### ✨ Why Choose This Tool?

| Feature | Details |
|---------|---------|
| 3,000+ series | Access papers from NBER, IZA, ECB, Fed, CEPR, and thousands more |
| Full metadata | Titles, authors, abstracts, JEL codes, keywords, and publisher info |
| JEL classification | Structured subject codes for precise topic filtering |
| Bulk collection | Up to 1,000,000 papers per run |
| Any series supported | Enter any RePEc series handle to collect from that source |
| JSON/CSV/Excel export | Download in your preferred format for analysis |
| Scheduled monitoring | Run weekly to track new additions to any series |

***

### 📈 How It Compares

| Capability | This Tool | Other Solutions |
|------------|-----------|-----------------|
| Bulk collection | Up to 1,000,000 papers per run | Page-by-page browsing |
| Series coverage | Any of 3,000+ RePEc series | One at a time |
| JEL codes and keywords | Structured and parsed | Scattered across pages |
| Full author list | Parsed into array | Single string |
| Export formats | JSON, CSV, Excel | Not supported |
| Scheduled monitoring | Weekly/monthly runs | Not possible |

***

### 🚀 How to Use

1. **Sign Up** - [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes)
2. **Find the Tool** - Search for "RePEc Economics Papers Scraper" in the Apify Store
3. **Set Input** - Configure your search filters using the simple form
4. **Run It** - Click "Start" and let it collect your data
5. **Download Data** - Get your results in the "Dataset" tab as CSV, Excel, or JSON

***

### 💼 Business Use Cases

| Audience | How They Use It |
|----------|----------------|
| **Academic Researchers** | Build reading lists for a specific subfield or institution. Track new working papers from top economics research centers |
| **Think Tanks** | Monitor new working papers from NBER, IZA, CEPR, and other major institutions for policy-relevant research |
| **Central Banks** | Track research output from peer institutions and stay current on monetary policy, financial stability, and macroeconomic topics |
| **Financial Journalists** | Find primary source research for economic news stories and identify trending topics in academic economics |

***

***

### 🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

<table>
<tr>
<td width="50%">

#### 🎓 Research and academia

- Empirical datasets for papers, thesis work, and coursework
- Longitudinal studies tracking changes across snapshots
- Reproducible research with cited, versioned data pulls
- Classroom exercises on data analysis and ethical scraping

</td>
<td width="50%">

#### 🎨 Personal and creative

- Side projects, portfolio demos, and indie app launches
- Data visualizations, dashboards, and infographics
- Content research for bloggers, YouTubers, and podcasters
- Hobbyist collections and personal trackers

</td>
</tr>
<tr>
<td width="50%">

#### 🤝 Non-profit and civic

- Transparency reporting and accountability projects
- Advocacy campaigns backed by public-interest data
- Community-run databases for local issues
- Investigative journalism on public records

</td>
<td width="50%">

#### 🧪 Experimentation

- Prototype AI and machine-learning pipelines with real data
- Validate product-market hypotheses before engineering spend
- Train small domain-specific models on niche corpora
- Test dashboard concepts with live input

</td>
</tr>
</table>

### 🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

- 💬 [**ChatGPT**](https://chat.openai.com/?q=How%20do%20I%20use%20the%20RePEc%20Economics%20Papers%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.)
- 🧠 [**Claude**](https://claude.ai/new?q=How%20do%20I%20use%20the%20RePEc%20Economics%20Papers%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.)
- 🔍 [**Perplexity**](https://perplexity.ai/search?q=How%20do%20I%20use%20the%20RePEc%20Economics%20Papers%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.)
- 🅒 [**Copilot**](https://copilot.microsoft.com/?q=How%20do%20I%20use%20the%20RePEc%20Economics%20Papers%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.)

### ❓ Frequently Asked Questions

<details>
<summary><b>💳 Do I need a paid Apify plan to run this actor?</b></summary>

No. You can start right now on the free Apify plan, which includes **$5 in free monthly credit**. That is enough to run this actor several times and explore the output before committing to anything. Paid plans unlock higher limits, more concurrent runs, and larger datasets. [Create a free Apify account here](https://console.apify.com/sign-up?fpr=vmoqkp) to get started.

</details>

<details>
<summary><b>🚨 What happens if my run fails or returns no results?</b></summary>

Failed runs are not charged. If the source site changes, proxies get rate-limited, or a specific input matches nothing, re-run the actor or open our [contact form](https://tally.so/r/BzdKgA) and we will investigate. You can also check the run log in the Apify console to see why the run stopped.

</details>

<details>
<summary><b>📏 How many items can I scrape per run?</b></summary>

Free users are limited to **10 items per run** so you can preview the output and confirm the actor works for your use case. Paid users can raise `maxItems` up to **1,000,000** per run. [Upgrade here](https://console.apify.com/sign-up?fpr=vmoqkp) if you need full scale.

</details>

<details>
<summary><b>🕒 How fresh is the data?</b></summary>

Every run fetches live data at the moment of execution. There is no cache or delay: the records you get reflect what the source returned at that moment. Schedule the actor to maintain a rolling snapshot of the data you need.

</details>

<details>
<summary><b>🧑‍💻 Can I call this actor from my own code?</b></summary>

Yes. Apify exposes every actor as a REST endpoint and ships first-class SDKs for [Node.js](https://docs.apify.com/sdk/js) and [Python](https://docs.apify.com/sdk/python). You can start a run, read the dataset, and handle webhooks from your own app in a few lines. All you need is your Apify API token.

</details>

<details>
<summary><b>📤 How do I export the data?</b></summary>

Every Apify dataset can be downloaded in one click from the console as CSV, JSON, JSONL, Excel, HTML, XML, or RSS. You can also pull results programmatically via the [Apify API](https://docs.apify.com/api/v2) or stream them into BigQuery, S3, and other destinations through built-in integrations.

</details>

<details>
<summary><b>📅 Can I schedule the actor to run automatically?</b></summary>

Yes. Use the Apify scheduler to run the actor on any cadence, from hourly to monthly. Results are saved to your dataset and can be delivered to webhooks, email, Slack, cloud storage, or automation tools such as Zapier and Make.

</details>

***

### 🔌 Automating Your Workflow

Schedule this tool to run daily, weekly, or monthly through the Apify platform. Set it and forget it. Your data will be waiting in your dataset every time. Combine with webhooks to trigger downstream actions whenever a run completes.

### 🔌 Integrate with Your Favorite Apps

- [Make](https://docs.apify.com/platform/integrations/make) - Build automated workflows
- [Zapier](https://docs.apify.com/platform/integrations/zapier) - Connect 5,000+ apps
- [Slack](https://docs.apify.com/platform/integrations/slack) - Get instant notifications
- [Airbyte](https://docs.apify.com/platform/integrations/airbyte) - Sync to data warehouses
- [GitHub](https://docs.apify.com/platform/integrations/github) - Version control integration
- [Google Drive](https://docs.apify.com/platform/integrations/drive) - Export to spreadsheets

***

### 🔗 Recommended Actors

Looking for more data collection tools? Check out these related actors:

| Actor | Description | Link |
|-------|-------------|------|
| Pitchbook Funds Scraper | Collect private fund profiles and investment data | [Pitchbook Funds Scraper](https://apify.com/parseforge/pitchbook-funds-scraper) |
| Pitchbook Investors Scraper | Extract PE and VC investor profiles | [Pitchbook Investors Scraper](https://apify.com/parseforge/pitchbook-investors-scraper) |
| FINRA BrokerCheck Scraper | Look up broker registration data | [FINRA BrokerCheck Scraper](https://apify.com/parseforge/finra-brokercheck-scraper) |
| Hugging Face Model Scraper | Collect AI model metadata | [Hugging Face Model Scraper](https://apify.com/parseforge/hugging-face-model-scraper) |
| Greatschools Scraper | Extract school ratings and district data | [Greatschools Scraper](https://apify.com/parseforge/greatschools-scraper) |

**Pro Tip:** 💡 Browse our complete collection of [data collection actors](https://apify.com/parseforge) to find the perfect tool for your business needs.

***

### 🆘 Need Help?

- Check the FAQ section above for common questions
- Visit the [Apify documentation](https://docs.apify.com) for platform guides
- Contact us at [Tally contact form](https://tally.so/r/BzdKgA)

***

> **⚠️ Disclaimer:** This Actor is an independent tool and is not affiliated with, endorsed by, or connected to RePEc, IDEAS, NBER, or any research institution. It collects only publicly available paper metadata.

# Actor input Schema

## `maxItems` (type: `integer`):

Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000

## `seriesHandle` (type: `string`):

RePEc series handle (two-part archive/series). Examples: 'nbr/nberwo' (NBER Working Papers), 'fip/fedgfe' (Fed Finance & Economics), 'iza/izadps' (IZA Discussion Papers), 'ecb/ecbwps' (ECB Working Papers).

## Actor input object example

```json
{
  "maxItems": 10,
  "seriesHandle": "nbr/nberwo"
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "maxItems": 10,
    "seriesHandle": "nbr/nberwo"
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/repec-economics-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 = {
    "maxItems": 10,
    "seriesHandle": "nbr/nberwo",
}

# Run the Actor and wait for it to finish
run = client.actor("parseforge/repec-economics-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 '{
  "maxItems": 10,
  "seriesHandle": "nbr/nberwo"
}' |
apify call parseforge/repec-economics-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "RePEc Economics Papers Scraper",
        "description": "Scrape economics research papers from RePEc covering NBER, Federal Reserve, IZA, ECB and more. Get titles, abstracts, authors, JEL codes, keywords, and publication dates for millions of economics working papers and journal articles.",
        "version": "1.0",
        "x-build-id": "gc3UqyAfS53cn7sbf"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/parseforge~repec-economics-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-parseforge-repec-economics-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/parseforge~repec-economics-scraper/runs": {
            "post": {
                "operationId": "runs-sync-parseforge-repec-economics-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/parseforge~repec-economics-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-parseforge-repec-economics-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "properties": {
                    "maxItems": {
                        "title": "Max Items",
                        "minimum": 1,
                        "maximum": 1000000,
                        "type": "integer",
                        "description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000"
                    },
                    "seriesHandle": {
                        "title": "Series Handle",
                        "type": "string",
                        "description": "RePEc series handle (two-part archive/series). Examples: 'nbr/nberwo' (NBER Working Papers), 'fip/fedgfe' (Fed Finance & Economics), 'iza/izadps' (IZA Discussion Papers), 'ecb/ecbwps' (ECB Working Papers)."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```