# Realtor.com Agent Scraper (`rigelbytes/realtor-agent-scraper`) Actor

Scrape real estate agents from Realtor.com by city or ZIP code. Optionally fetch full agent profiles and reviews via GraphQL API.

- **URL**: https://apify.com/rigelbytes/realtor-agent-scraper.md
- **Developed by:** [Rigel Bytes](https://apify.com/rigelbytes) (community)
- **Categories:** Lead generation, Real estate, Integrations
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.30 / 1,000 results

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

## Realtor.com Agent Scraper

Extract comprehensive real estate agent data from Realtor.com by city or ZIP code — names, ratings, contact details, broker info, licenses, reviews, and more. Whether you're building a lead list, monitoring agent competition, or enriching your CRM, this scraper delivers clean structured data starting from just **$2.00 per 1,000 agents**.

### What can Realtor.com Agent Scraper do for you?

- **Build agent lead lists** — Collect agents by city or ZIP code with ratings, broker affiliation, and contact info for outbound sales and marketing.
- **Get full agent profiles** — Enrich each record with bio, website, phone numbers, office address, license details, specializations, service areas, and social media links.
- **Extract agent reviews and ratings** — Pull every review and testimonial with scores, comments, and verification status for reputation analysis and competitive intelligence.
- **Filter by agent type** — Target buyer agents, seller agents, or both to match your specific prospecting needs.
- **Track listing statistics** — Access agent sales volume, active listings, recently sold properties, and price ranges to evaluate performance.
- **Export to any format** — Data comes as structured JSON, ready to export to CSV, Excel, or your CRM via Apify's built-in integrations.

### What data can you extract?

| Data | Description |
|------|-------------|
| 👤 **Name & Profile** | Full name, profile URL, avatar, broker, and office |
| ⭐ **Ratings & Reviews** | Average rating, review count, recommendations, combined feedback |
| 📍 **Location** | City, state, search query used, autocomplete location label |
| 🏢 **Broker & Office** | Broker name, office name, address, phone, website |
| 📞 **Contact Info** | Phone numbers (mobile/office), website, email from profile |
| 📋 **Bio & Experience** | Professional bio, years of experience, designations, languages |
| 🏠 **Listing Stats** | Active listings, recently sold, price ranges, property details |
| 🛠️ **Services** | Buyer services, seller services offered |
| 📜 **License & MLS** | License number, state, MLS affiliations, status |
| 🔗 **Social Media** | Facebook, Instagram, LinkedIn, TikTok, X, YouTube |
| 📝 **Reviews (optional)** | Full review text, ratings, verification, reviewer info, dates, agent replies |

### Why use this scraper?

- **Market research** — Analyze agent density, ratings distribution, and broker market share across cities or ZIP codes.
- **Lead generation** — Build targeted lists of top-rated agents for real estate software sales, marketing services, or partnership outreach.
- **Competitive intelligence** — Monitor competitor agent performance, review sentiment, service offerings, and listing activity.
- **CRM enrichment** — Append agent contact data, social profiles, and license information to existing records for more complete prospect profiles.
- **Automation** — Schedule recurring scrapes to track agent rating changes, new reviews, and listing updates over time.

### Pricing

- **Basic agent search results**: **$2.00/1,000 agents**
- **Full agent profile details**: **$3.00/1,000 profiles**
- **Agent reviews with testimonials**: **$2.00/1,000 reviews**
- Volume discounts available with Apify plan tiers (Bronze/Silver/Gold).
- No hidden fees or limits on usage — you pay only for the data you pull.

---

### How to use Realtor.com Agent Scraper

1. **Create an Apify account** — Sign up at [apify.com](https://apify.com) (free tier available).
2. **Open the actor** — Go to [Realtor.com Agent Scraper](https://apify.com/rigelbytes/realtor-agent-scraper) and click **Try**.
3. **Enter your search** — Add cities (e.g. Austin) or ZIP codes (e.g. 78717), optionally enable details and reviews.
4. **Run the scraper** — Click **Run** and wait for the results. Residential proxies are enabled by default.
5. **Download your data** — Export as JSON, CSV, Excel, or connect via API to your CRM.

### Input

The actor accepts the following input parameters:

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `cities` | string[] | No | City names to search (first autocomplete match is used per city) |
| `zipCodes` | string[] | No | US ZIP codes to search for agents |
| `getAgentDetails` | boolean | No | Fetch full agent profile (bio, contact, office, licenses, social links) |
| `getAgentReviews` | boolean | No | Fetch all reviews and testimonials (implies getAgentDetails) |
| `agentType` | string | No | Filter by `buyer`, `seller`, or `both` agent types |
| `maxItems` | integer | No | Maximum agents to scrape across all locations (0 = unlimited) |
| `proxyConfiguration` | object | No | Proxy settings (residential proxies recommended) |

#### 📝 Copy for Use:

```json
{
  "cities": ["Austin"],
  "maxItems": 3,
  "getAgentDetails": true,
  "getAgentReviews": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
````

![Realtor.com Agent Scraper Output](https://raw.githubusercontent.com/faizanalii/apify-images/b1b6662b6e5a2a4feb7aaa91a83b1fcc128e3489/realtor-agent-scraper.gif)

### Why Choose This Scraper?

- **Affordable**: Pay from $2.00 per 1,000 agents — only pay for what you need.
- **Comprehensive**: Get everything from basic search listings to full profiles with reviews, listing stats, and social media links.
- **Easy to Use**: Just enter cities or ZIP codes and run. No coding required.
- **Reliable**: Uses residential proxies and retry logic for consistent data extraction at scale.

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#### Running via Apify Console

You can run this actor from the Apify Console by providing the necessary input parameters.

#### Running via API

You can trigger this actor using the Apify API, passing the required input in the request body.

### API

#### Python

```shell
from apify_client import ApifyClient

client = ApifyClient("YOUR-APIFY-TOKEN")

run = client.actor("rigelbytes/realtor-agent-scraper").call(
    run_input={
        "cities": ["Austin"],
        "maxItems": 3,
        "getAgentDetails": True,
        "getAgentReviews": True,
        "proxyConfiguration": {
            "useApifyProxy": True,
            "apifyProxyGroups": ["RESIDENTIAL"]
        }
    }
)

dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items
print(f"Scraped {len(dataset_items)} agents")
```

#### JavaScript

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

const client = new ApifyClient({ token: 'YOUR-APIFY-TOKEN' });

const run = await client.actor('rigelbytes/realtor-agent-scraper').call({
    cities: ['Austin'],
    maxItems: 3,
    getAgentDetails: true,
    getAgentReviews: true,
    proxyConfiguration: {
        useApifyProxy: true,
        apifyProxyGroups: ['RESIDENTIAL']
    }
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Scraped ${items.length} agents`);
```

#### cURL

```shell
curl -X POST "https://api.apify.com/v2/acts/rigelbytes~realtor-agent-scraper/runs?token=YOUR-APIFY-TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "cities": ["Austin"],
    "maxItems": 3,
    "getAgentDetails": true,
    "getAgentReviews": true,
    "proxyConfiguration": {
      "useApifyProxy": true,
      "apifyProxyGroups": ["RESIDENTIAL"]
    }
  }'
```

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#### 💼 Jobs & Recruitment

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- **[ZipRecruiter Job Scraper](https://apify.com/rigelbytes/ziprecruiter-scraper)** — Scrape job listings from ZipRecruiter.

#### 📩 Lead Generation

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- **[Website Services Finder](https://apify.com/rigelbytes/website-services-finder)** — AI-powered company service extraction from websites.
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- **[Zillow Agents Phone](https://apify.com/rigelbytes/zillow-agents-phone)** — Find real estate agent leads from Zillow.
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#### ⭐ Reviews & Ratings

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- **[Airbnb Listing Reviews](https://apify.com/rigelbytes/airbnb-listing-reviews)** — Collect reviews and ratings from Airbnb.
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- **[Trustpilot Reviews Scraper](https://apify.com/rigelbytes/trustpilot-reviews)** — Collect reviews and ratings from Trustpilot.

#### 🍔 Food & Delivery

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- **[Instacart Scraper](https://apify.com/rigelbytes/instacart-scraper)** — Scrape menus, stores, and delivery data from Instacart.
- **[Publix Scraper](https://apify.com/rigelbytes/publix-scraper)** — Scrape menus, stores, and delivery data from Publix.

#### 🛠️ Developer Tools

General-purpose scraping and automation tools.

- **[Web Crawler](https://apify.com/rigelbytes/webcrawler)** — Customizable web crawler with proxy support.

### Understanding Proxies:

When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location.

#### Why Use Proxies?

- Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer.
- Access Geo-restricted Content: Proxies let you access content or websites restricted by location.
- Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing.

#### Types of Proxies

1. Residential Proxies
   - Real IP addresses provided by ISPs to home users.
   - They mimic regular users, making them harder to detect.
   - Best for: Long-term, undetectable scraping, and avoiding blocks.
2. Data Center Proxies
   - IP addresses from servers in data centers.
   - Faster and cheaper than residential proxies but easier to detect and block.
   - Best for: High-speed scraping, but with a higher risk of detection.
3. Mobile Proxies
   - IPs provided by mobile carriers (3G/4G/5G networks).
   - Very difficult to detect, as they appear as regular mobile users.
   - Best for: Mobile-related scraping or avoiding sophisticated blocks.

#### Rotating Proxies vs. Straight Proxies

- Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns.
- Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP.

### About Rigel Bytes

Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.

### Contact Us

Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or [book an appointment](https://cal.com/faizanali/appointments) with us to learn more about how we can help you achieve your data goals.

### Detailed Data

Below is a sample of the data this actor produces:

```json
[
  {
    "fullName": "Andra Cortez Jackson Realtor Austin TX",
    "profileUrl": "https://www.realtor.com/realestateagents/56a649a10fa417010073f11b",
    "avatarUrl": "https://ap.rdcpix.com/1671514694/5926e52748f51f5e62858c04d77081dfa-e0rd-w144_h144.jpg",
    "brokerName": "Team West Real Estate - Broker",
    "officeName": "Team West Real Estate",
    "averageRating": 5,
    "reviewsCount": 8,
    "recommendationsCount": 62,
    "combinedReviewsCount": 70,
    "locationLabel": "Austin, TX",
    "searchQuery": "Austin",
    "searchType": "city",
    "profileId": "56a649a10fa417010073f11b",
    "bio": "Andra Cortez Jackson Jr. | Trusted Austin-Area Realtor® | New Construction · Residential · Investment Properties...",
    "website": "http://www.teamwestre.com",
    "phones": [
      { "type": "mobile", "value": "(512) 565-8448" }
    ],
    "licenseNumber": "0642309",
    "licenseState": "TX",
    "specializations": ["contracts", "negotiation", "new construction", "luxury real estate"],
    "servedAreas": [
      { "name": "Austin", "state_code": "TX" },
      { "name": "Cedar Park", "state_code": "TX" }
    ],
    "socialMedia": {
      "facebook": "https://www.facebook.com/AndraJacksonHomes",
      "instagram": "https://www.instagram.com/austinsfinestrealtor/",
      "linkedin": "https://www.linkedin.com/in/andra-cortez-jackson-jr-98737859/"
    },
    "experience": {
      "first_year": "2011",
      "label": "15 years 6 months of experience"
    },
    "office": {
      "name": "Team West Real Estate",
      "address": {
        "address_formatted_line_1": "13812 Research Blvd.",
        "address_formatted_line_2": "Austin, TX 78750"
      }
    }
  },
  {
    "fullName": "Christopher Watters, Realtor | Broker",
    "profileUrl": "https://www.realtor.com/realestateagents/56c5b7720fa4170100761a99",
    "brokerName": "",
    "officeName": "Watters International Realty",
    "averageRating": 4.5,
    "reviewsCount": 8,
    "combinedReviewsCount": 10,
    "locationLabel": "Austin, TX",
    "searchQuery": "Austin",
    "searchType": "city",
    "profileId": "56c5b7720fa4170100761a99",
    "website": "http://www.ChristopherWatters.com",
    "licenseNumber": "0567369",
    "licenseState": "TX",
    "listingStats": {
      "for_sale": { "count": 162, "max": 19900000, "min": 67000 },
      "recently_sold_annual": { "count": 300 }
    },
    "experience": {
      "first_year": "2007",
      "label": "19 years 6 months of experience"
    }
  }
]
```

# Actor input Schema

## `cities` (type: `array`):

City names to search (e.g. Austin, Dallas). The first autocomplete match is used for each city.

## `zipCodes` (type: `array`):

US ZIP codes to search for agents (e.g. 78717). The first autocomplete match is used for each ZIP.

## `getAgentDetails` (type: `boolean`):

Fetch the full agent profile (bio, contact, office, licenses, social links, etc.) for each agent.

## `getAgentReviews` (type: `boolean`):

Fetch all reviews and testimonials for each agent. Implies getAgentDetails.

## `agentType` (type: `string`):

Filter agents by whether they help buyers, sellers, or both.

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

Maximum number of agents to scrape across all locations (0 = unlimited).

## `proxyConfiguration` (type: `object`):

Proxy settings for anti-bot protection. Residential proxies are recommended.

## Actor input object example

```json
{
  "cities": [
    "Austin"
  ],
  "zipCodes": [],
  "getAgentDetails": false,
  "getAgentReviews": false,
  "agentType": "both",
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `runStats` (type: `string`):

No description

## `input` (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 = {
    "cities": [
        "Austin"
    ],
    "zipCodes": [],
    "maxItems": 50,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("rigelbytes/realtor-agent-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 = {
    "cities": ["Austin"],
    "zipCodes": [],
    "maxItems": 50,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("rigelbytes/realtor-agent-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 '{
  "cities": [
    "Austin"
  ],
  "zipCodes": [],
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call rigelbytes/realtor-agent-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Realtor.com Agent Scraper",
        "description": "Scrape real estate agents from Realtor.com by city or ZIP code. Optionally fetch full agent profiles and reviews via GraphQL API.",
        "version": "1.0",
        "x-build-id": "WycpFaHkjfVZMYeFV"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/rigelbytes~realtor-agent-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-rigelbytes-realtor-agent-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/rigelbytes~realtor-agent-scraper/runs": {
            "post": {
                "operationId": "runs-sync-rigelbytes-realtor-agent-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/rigelbytes~realtor-agent-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-rigelbytes-realtor-agent-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "cities": {
                        "title": "Cities",
                        "type": "array",
                        "description": "City names to search (e.g. Austin, Dallas). The first autocomplete match is used for each city.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "zipCodes": {
                        "title": "ZIP codes",
                        "type": "array",
                        "description": "US ZIP codes to search for agents (e.g. 78717). The first autocomplete match is used for each ZIP.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "getAgentDetails": {
                        "title": "Get agent details",
                        "type": "boolean",
                        "description": "Fetch the full agent profile (bio, contact, office, licenses, social links, etc.) for each agent.",
                        "default": false
                    },
                    "getAgentReviews": {
                        "title": "Get agent reviews",
                        "type": "boolean",
                        "description": "Fetch all reviews and testimonials for each agent. Implies getAgentDetails.",
                        "default": false
                    },
                    "agentType": {
                        "title": "Agent type",
                        "enum": [
                            "buyer",
                            "seller",
                            "both"
                        ],
                        "type": "string",
                        "description": "Filter agents by whether they help buyers, sellers, or both.",
                        "default": "both"
                    },
                    "maxItems": {
                        "title": "Max items",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum number of agents to scrape across all locations (0 = unlimited).",
                        "default": 0
                    },
                    "proxyConfiguration": {
                        "title": "Proxy configuration",
                        "type": "object",
                        "description": "Proxy settings for anti-bot protection. Residential proxies are recommended.",
                        "default": {
                            "useApifyProxy": true,
                            "apifyProxyGroups": [
                                "RESIDENTIAL"
                            ]
                        }
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
