# Agoda Phone Number Scraper (`scrapapi/agoda-phone-number-scraper`) Actor

- **URL**: https://apify.com/scrapapi/agoda-phone-number-scraper.md
- **Developed by:** [ScrapAPI](https://apify.com/scrapapi) (community)
- **Categories:** Automation, Lead generation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 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.

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

### **Agoda** Phone Number Scraper 📱

**Agoda** Phone Number Scraper provides access to a wide range of **data** types, ensuring comprehensive **extract**ion capabilities. This tool is designed to scrape **Agoda** customer **contact**s, including **phone numbers** and other relevant information.

It serves as an **Agoda** phone number **extract**or, delivering accurate and organized **data** for various uses. With the **Agoda** **contact** info scraper, users can retrieve essential **contact** details to support their business or personal needs.

The scraper is optimized to handle large-scale **data** **extract**ion, making it an ideal choice for users seeking efficiency and reliability.

Agoda Phone Number Scraper is a powerful tool designed to help businesses and individuals efficiently extract contact information from Agoda's platform. It simplifies the process of gathering phone numbers for various purposes, saving time and effort.

Using an Agoda Phone Number Scraper ensures accurate and reliable data collection, making it an essential resource for anyone looking to streamline their contact acquisition process. This tool is ideal for extracting Agoda phone numbers quickly and securely.

The Agoda contact scraper tool is specifically tailored to meet the needs of users who require detailed customer data. It enables users to extract Agoda phone numbers with ease, ensuring high-quality results every time.

### Support and feedback

- **Bug reports**: Open a ticket in the repository Issues section
- **Custom features**: Contact our enterprise support team
  *Email: scrapier.io@gmail.com*
### Extractable Data Table 📊
| Data Type | Description |
| --- | --- |
| Customer Phone Numbers | Extract phone numbers of Agoda customers for direct communication. |
| Customer Names | Retrieve names associated with Agoda accounts for personalized outreach. |
| Email Addresses | Gather email addresses to enhance marketing and communication efforts. |
| Booking Details | Access booking information to analyze customer preferences and trends. |
| Location Data | Extract location details to understand customer demographics and preferences. |
| Customer Reviews | Scrape review data to gain insights into customer experiences and satisfaction. |
| Support Contact Information | Retrieve Agoda customer support details for efficient communication. |
| Account Status | Identify active accounts to focus on current and engaged customers. |

### Key Features of **Agoda** Phone Number Scraper

Here are the **standout features** that make the **Agoda** Phone Number Scraper a **top-tier tool** for **marketers**, **agencies**, and **researchers**:

- ⭐ Efficient extraction of **Agoda** phone numbers for streamlined communication
- ⭐ User-friendly interface for easy operation and minimal technical expertise required
- ⭐ **High**-speed data processing ensures quick results even for large datasets
- ⭐ **Customizable** scraping options to target specific data types and formats
- ⭐ **Secure** data handling to protect sensitive customer information during extraction
- ⭐ Compatibility with multiple devices and platforms for flexible usage
- ⭐ **Regular** updates to ensure compliance with **Agoda**s policies and technical changes
- ⭐ **Advanced** filters to refine data extraction and focus on relevant information
- ⭐ Scalable performance for handling both small and large-scale data extraction needs
- ⭐ **Integration** with other **Agoda** scraping software for enhanced functionality

### How to use **Agoda** Phone Number Scraper 🚀

Follow this **simple, step-by-step guide** to start extracting **Agoda** phone numbers today:

1. ✅ Download and install the **Agoda** Phone Number Scraper on your device
2. ✅ Log in to your **Agoda** account to access the platforms data for scraping
3. ✅ **Select** the specific data types you want to extract such as phone numbers or booking details
4. ✅ **Configure** the scraper settings to refine your search and target specific information
5. ✅ **Start** the scraping process and monitor progress through the tools dashboard
6. ✅ **Export** the extracted data to your preferred format such as CSV or Excel files
7. ✅ Analyze the retrieved information to support your business or personal objectives
8. ✅ Regularly update the scraper to ensure optimal performance and compliance with **Agoda**s policies

### Use Cases 🎯

Business Outreach
🎯 **Use** the **Agoda** Phone Number Scraper to extract customer contacts for marketing campaigns
🎯 Enhance customer support by retrieving accurate contact information from **Agoda**

Market Research
🎯 Scrape **Agoda** customer contacts to analyze trends and preferences
🎯 Utilize extracted data for demographic studies and targeted strategies

Creator Partnerships
🎯 Extract **Agoda** phone numbers to connect with potential collaborators
🎯 **Use** the scraper to identify influencers and partners within the **Agoda** community

Agency Use
🎯 Leverage the **Agoda** Phone Number Scraper to streamline client acquisition processes
🎯 Provide clients with detailed reports based on extracted **Agoda** customer data

### Why choose us? 💎

**Agoda** Phone Number Scraper offers unmatched efficiency and reliability for extracting contact information. It is equipped with **advanced** features that simplify the data collection process, ensuring accurate and organized results.

Users benefit from a secure and **user-friendly** interface, making it accessible to individuals and businesses alike. The **Agoda** contact info scraper is designed to handle large-scale data extraction, providing scalability for growing needs.

Regular updates ensure compliance with **Agoda**'s policies, maintaining the scraper's effectiveness over time. With the **Agoda** data extraction tool, users can enhance their outreach strategies and improve customer support capabilities effortlessly.

### **Agoda** Phone Number Scraper Scalability 📈

**Agoda** Phone Number Scraper is built to handle both small and **large-scale** data extraction needs. It delivers consistent performance regardless of the volume of data being processed.

The tool's **advanced** algorithms ensure **efficient** extraction, even for **extensive** datasets. Users can rely on the **Agoda** phone number finder to retrieve accurate contact information without compromising speed.

This scraper is designed to adapt to varying requirements, making it a versatile choice for businesses and individuals. Integration with other **Agoda** scraping software further enhances its scalability and functionality.

Whether you're extracting a few contacts or thousands, this tool delivers exceptional results every time.

### **Agoda** Phone Number Scraper Legal Guidelines ⚖️

**Yes**—scraping **Agoda** is **legal** as long as you follow **ethical** and **compliant** practices. The **Agoda** Phone Number Scraper extracts only **publicly available** information from **public** **Agoda** profiles, making it **safe** and **compliant** for **research**, **marketing**, and **analysis**.

#### Legal & Ethical Guidelines
⚖️ **Ensure** compliance with **Agoda**s terms of service when using the scraper
⚖️ **Avoid** extracting data for unauthorized or illegal purposes
⚖️ Respect customer privacy and handle sensitive information securely
⚖️ **Use** the scraper only for legitimate business or personal needs
⚖️ **Do not** share or sell extracted data without proper authorization
⚖️ Regularly update the scraper to stay compliant with **Agoda**s policies
⚖️ Follow local data protection laws and regulations during extraction
⚖️ Limit data usage to ethical and responsible applications

### Input Parameters 🧩
📦 Example Input (JSON)
```json
{
  "keywords": ["Agoda Phone Number Scraper"],
  "country": "Global",
  "maxPhoneNumbers": 20,
  "platform": "Agoda",
  "engine": "legacy"
}
````

### Input Table

| Data Type | Description |
| --- | --- |
| keywords | Keywords to find relevant profiles |
| country | Country setting (Global) |
| maxPhoneNumbers | Maximum phone numbers to collect (default 20) |
| platform | Platform to scrape (Agoda) |
| engine | Engine type (legacy) |
| proxyConfiguration | Optional proxy settings |

### Output Format 📤

📝 Example Output (JSON)

```json
[
  {
    "platform": "Agoda",
    "keyword": "Agoda Phone Number Scraper",
    "title": "Example Agoda profile",
    "description": "Example description with phone number",
    "url": "https://www.example.com/example/",
    "phone_number": "+1234567890",
    "country": "Global",
    "dial_code": "Auto-detected"
  }
]
```

### Output Table

| Data Type | Description |
| --- | --- |
| platform | Identifies Agoda as the source |
| keyword | Keyword that triggered the result (Agoda Phone Number Scraper) |
| title | Profile title or username |
| description | Public bio snippet with contact info |
| url | Direct Agoda profile link |
| phone\_number | Extracted phone number with Auto-detected dial code |
| country | Country setting (Global) |
| dial\_code | Dial code (Auto-detected) |

### FAQ ❓

#### What is Agoda **Phone Number Scraper**?

Agoda Phone Number Scraper is a tool designed to extract contact information, such as **phone numbers**, from Agoda's platform efficiently.

#### How does the scraper **extract** Agoda phone numbers?

The scraper uses advanced algorithms to extract Agoda **phone numbers** **secure**ly and accurately from the platform's database.

#### Can I use this tool to scrape Agoda customer contacts?

**Yes**, the scraper is specifically designed to scrape Agoda customer contacts, including **phone numbers** and other relevant data.

#### Is the Agoda contact info scraper user-friendly?

**Yes**, the scraper features an intuitive interface that simplifies the data extraction process for users of all skill levels.

#### Does the tool support **large-scale** data **extract**ion?

**Yes**, the Agoda data extraction tool is optimized for handling both small and large-scale data extraction needs efficiently.

#### Is the scraper compatible with other Agoda scraping software?

**Yes**, the tool integrates **seamless**ly with other Agoda scraping software to enhance functionality and scalability.

#### Are there **legal** guidelines for using the scraper?

**Yes**, users must comply with Agoda's terms of service and local data protection laws when using the scraper.

#### Can I **extract** Agoda **customer support** details with this tool?

**Yes**, the scraper can retrieve Agoda customer support details to facilitate efficient communication.

#### What formats can I **export** **extract**ed data to?

The scraper supports exporting data to formats such as **CSV** and Excel for easy analysis and usage.

#### Is the Agoda phone number finder **secure**?

**Yes**, the scraper is designed with **secure** data handling protocols to protect sensitive information during extraction.

#### How often is the scraper updated?

The scraper is regularly updated to ensure **compliance** with Agoda's policies and maintain optimal performance.

#### Can I customize the data **extract**ion process?

**Yes**, the tool allows users to configure settings and filters to target specific data types and formats.

#### What are the benefits of using Agoda **Phone Number Scraper**?

The scraper offers efficient, reliable, and **secure** extraction of contact information, saving time and effort for users.

#### Can agencies use this tool for client projects?

**Yes**, agencies can leverage the scraper to streamline client acquisition and provide detailed reports based on extracted data.

#### Is the tool suitable for market research purposes?

**Yes**, the scraper is ideal for extracting Agoda customer data to analyze trends and preferences for market research.

# Actor input Schema

## `keywords` (type: `array`):

A list of keywords, Agoda usernames, or profile URLs to search for. Example: \["marketing", "founder"].

## `platform` (type: `string`):

Select platform. For now this actor targets Agoda via google.com SERP.

## `country` (type: `string`):

Select a country to scrape related phone numbers. The dial code is used to normalize and filter phone numbers.

## `maxPhoneNumbers` (type: `integer`):

Maximum number of phone numbers to collect per keyword. The scraper will stop once this limit is reached.

## `engine` (type: `string`):

Choose scraping engine. 'cost-effective' uses RESIDENTIAL proxies; 'legacy' uses GOOGLE\_SERP proxy.

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

Configure proxies for this Actor (Apify proxy). The actor will enforce legal GOOGLE\_SERP or RESIDENTIAL groups depending on Engine.

## Actor input object example

```json
{
  "keywords": [
    "marketing"
  ],
  "platform": "Agoda",
  "country": "United Kingdom (+44)",
  "maxPhoneNumbers": 20,
  "engine": "legacy"
}
```

# 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 = {
    "keywords": [
        "marketing"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapapi/agoda-phone-number-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 = { "keywords": ["marketing"] }

# Run the Actor and wait for it to finish
run = client.actor("scrapapi/agoda-phone-number-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 '{
  "keywords": [
    "marketing"
  ]
}' |
apify call scrapapi/agoda-phone-number-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Agoda Phone Number Scraper",
        "version": "0.1",
        "x-build-id": "AQFcF1kkmgeqfAXfV"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/scrapapi~agoda-phone-number-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-scrapapi-agoda-phone-number-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/scrapapi~agoda-phone-number-scraper/runs": {
            "post": {
                "operationId": "runs-sync-scrapapi-agoda-phone-number-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/scrapapi~agoda-phone-number-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-scrapapi-agoda-phone-number-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "keywords",
                    "country"
                ],
                "properties": {
                    "keywords": {
                        "title": "Keywords / Usernames / URLs",
                        "type": "array",
                        "description": "A list of keywords, Agoda usernames, or profile URLs to search for. Example: [\"marketing\", \"founder\"].",
                        "items": {
                            "type": "string"
                        }
                    },
                    "platform": {
                        "title": "Platform",
                        "enum": [
                            "Agoda"
                        ],
                        "type": "string",
                        "description": "Select platform. For now this actor targets Agoda via google.com SERP.",
                        "default": "Agoda"
                    },
                    "country": {
                        "title": "Country",
                        "enum": [
                            "Afghanistan (+93)",
                            "Albania (+355)",
                            "Algeria (+213)",
                            "Andorra (+376)",
                            "Angola (+244)",
                            "Antigua And Barbuda (+1-268)",
                            "Argentina (+54)",
                            "Armenia (+374)",
                            "Australia (+61)",
                            "Austria (+43)",
                            "Azerbaijan (+994)",
                            "Bahamas (+1-242)",
                            "Bahrain (+973)",
                            "Bangladesh (+880)",
                            "Barbados (+1-246)",
                            "Belarus (+375)",
                            "Belgium (+32)",
                            "Belize (+501)",
                            "Benin (+229)",
                            "Bhutan (+975)",
                            "Bolivia (+591)",
                            "Bosnia And Herzegovina (+387)",
                            "Botswana (+267)",
                            "Brazil (+55)",
                            "Brunei (+673)",
                            "Bulgaria (+359)",
                            "Burkina Faso (+226)",
                            "Burundi (+257)",
                            "Cambodia (+855)",
                            "Cameroon (+237)",
                            "Canada (+1)",
                            "Cape Verde (+238)",
                            "Central African Republic (+236)",
                            "Chad (+235)",
                            "Chile (+56)",
                            "China (+86)",
                            "Colombia (+57)",
                            "Comoros (+269)",
                            "Congo (Democratic Republic) (+243)",
                            "Congo (Republic) (+242)",
                            "Costa Rica (+506)",
                            "Croatia (+385)",
                            "Cuba (+53)",
                            "Cyprus (+357)",
                            "Czech Republic (+420)",
                            "Denmark (+45)",
                            "Djibouti (+253)",
                            "Dominica (+1-767)",
                            "Dominican Republic (+1-809)",
                            "East Timor (+670)",
                            "Ecuador (+593)",
                            "Egypt (+20)",
                            "El Salvador (+503)",
                            "Equatorial Guinea (+240)",
                            "Eritrea (+291)",
                            "Estonia (+372)",
                            "Eswatini (+268)",
                            "Ethiopia (+251)",
                            "Fiji (+679)",
                            "Finland (+358)",
                            "France (+33)",
                            "Gabon (+241)",
                            "Gambia (+220)",
                            "Georgia (+995)",
                            "Germany (+49)",
                            "Ghana (+233)",
                            "Greece (+30)",
                            "Grenada (+1-473)",
                            "Guatemala (+502)",
                            "Guinea (+224)",
                            "Guinea-Bissau (+245)",
                            "Guyana (+592)",
                            "Haiti (+509)",
                            "Honduras (+504)",
                            "Hungary (+36)",
                            "Iceland (+354)",
                            "India (+91)",
                            "Indonesia (+62)",
                            "Iran (+98)",
                            "Iraq (+964)",
                            "Ireland (+353)",
                            "Israel (+972)",
                            "Italy (+39)",
                            "Jamaica (+1-876)",
                            "Japan (+81)",
                            "Jordan (+962)",
                            "Kazakhstan (+7)",
                            "Kenya (+254)",
                            "Kiribati (+686)",
                            "Korea, North (+850)",
                            "Korea, South (+82)",
                            "Kuwait (+965)",
                            "Kyrgyzstan (+996)",
                            "Laos (+856)",
                            "Latvia (+371)",
                            "Lebanon (+961)",
                            "Lesotho (+266)",
                            "Liberia (+231)",
                            "Libya (+218)",
                            "Liechtenstein (+423)",
                            "Lithuania (+370)",
                            "Luxembourg (+352)",
                            "Madagascar (+261)",
                            "Malawi (+265)",
                            "Malaysia (+60)",
                            "Maldives (+960)",
                            "Mali (+223)",
                            "Malta (+356)",
                            "Marshall Islands (+692)",
                            "Mauritania (+222)",
                            "Mauritius (+230)",
                            "Mexico (+52)",
                            "Micronesia (+691)",
                            "Moldova (+373)",
                            "Monaco (+377)",
                            "Mongolia (+976)",
                            "Montenegro (+382)",
                            "Morocco (+212)",
                            "Mozambique (+258)",
                            "Myanmar (+95)",
                            "Namibia (+264)",
                            "Nauru (+674)",
                            "Nepal (+977)",
                            "Netherlands (+31)",
                            "New Zealand (+64)",
                            "Nicaragua (+505)",
                            "Niger (+227)",
                            "Nigeria (+234)",
                            "North Macedonia (+389)",
                            "Norway (+47)",
                            "Oman (+968)",
                            "Pakistan (+92)",
                            "Palau (+680)",
                            "Panama (+507)",
                            "Papua New Guinea (+675)",
                            "Paraguay (+595)",
                            "Peru (+51)",
                            "Philippines (+63)",
                            "Poland (+48)",
                            "Portugal (+351)",
                            "Qatar (+974)",
                            "Romania (+40)",
                            "Russia (+7)",
                            "Rwanda (+250)",
                            "Saint Kitts And Nevis (+1-869)",
                            "Saint Lucia (+1-758)",
                            "Saint Vincent And The Grenadines (+1-784)",
                            "Samoa (+685)",
                            "San Marino (+378)",
                            "Sao Tome And Principe (+239)",
                            "Saudi Arabia (+966)",
                            "Senegal (+221)",
                            "Serbia (+381)",
                            "Seychelles (+248)",
                            "Sierra Leone (+232)",
                            "Singapore (+65)",
                            "Slovakia (+421)",
                            "Slovenia (+386)",
                            "Solomon Islands (+677)",
                            "Somalia (+252)",
                            "South Africa (+27)",
                            "South Sudan (+211)",
                            "Spain (+34)",
                            "Sri Lanka (+94)",
                            "Sudan (+249)",
                            "Suriname (+597)",
                            "Sweden (+46)",
                            "Switzerland (+41)",
                            "Syria (+963)",
                            "Taiwan (+886)",
                            "Tajikistan (+992)",
                            "Tanzania (+255)",
                            "Thailand (+66)",
                            "Togo (+228)",
                            "Tonga (+676)",
                            "Trinidad And Tobago (+1-868)",
                            "Tunisia (+216)",
                            "Turkey (+90)",
                            "Turkmenistan (+993)",
                            "Tuvalu (+688)",
                            "Uganda (+256)",
                            "Ukraine (+380)",
                            "United Arab Emirates (+971)",
                            "United Kingdom (+44)",
                            "United States (+1)",
                            "Uruguay (+598)",
                            "Uzbekistan (+998)",
                            "Vanuatu (+678)",
                            "Vatican City (+39-06)",
                            "Venezuela (+58)",
                            "Vietnam (+84)",
                            "Yemen (+967)",
                            "Zambia (+260)",
                            "Zimbabwe (+263)"
                        ],
                        "type": "string",
                        "description": "Select a country to scrape related phone numbers. The dial code is used to normalize and filter phone numbers.",
                        "default": "United Kingdom (+44)"
                    },
                    "maxPhoneNumbers": {
                        "title": "Max Phone Numbers",
                        "minimum": 1,
                        "maximum": 10000,
                        "type": "integer",
                        "description": "Maximum number of phone numbers to collect per keyword. The scraper will stop once this limit is reached.",
                        "default": 20
                    },
                    "engine": {
                        "title": "Engine",
                        "enum": [
                            "legacy"
                        ],
                        "type": "string",
                        "description": "Choose scraping engine. 'cost-effective' uses RESIDENTIAL proxies; 'legacy' uses GOOGLE_SERP proxy.",
                        "default": "legacy"
                    },
                    "proxyConfiguration": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "Configure proxies for this Actor (Apify proxy). The actor will enforce legal GOOGLE_SERP or RESIDENTIAL groups depending on Engine."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
