# Speech Lang Pathologist Email Scraper (`contacts-api/speech-lang-pathologist-email-scraper`) Actor

Speech-language pathologist email scraper to extract verified speech therapist emails from clinics, hospitals, rehabilitation centers, schools, and healthcare directories 📧🗣️ Perfect for healthcare outreach, recruitment, and speech therapy lead generation.

- **URL**: https://apify.com/contacts-api/speech-lang-pathologist-email-scraper.md
- **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community)
- **Categories:** Lead generation, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.99 / 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.

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

### 🗣️ Speech Lang Pathologist Email Scraper — Find Verified Leads in Minutes

> The fastest way to build a targeted speech lang pathologist list. This actor searches Google Maps for Speech Lang Pathologist and similar practices across any city, crawls their websites, and extracts verified speech lang pathologist email addresses, phone numbers, and social media profiles — giving you clean, export-ready speech lang pathologist leads in minutes.

---

#### 🚀 Quick Start

1. Enter your search term — e.g., "Speech Lang Pathologist"
2. Add one or more target locations — e.g., "New York", "Miami, Florida"
3. Set your desired number of businesses with emails
4. Hit Run and get your results in minutes

No coding required. Export to CSV, JSON, or Excel instantly.

---

#### 💡 What Is the Speech Lang Pathologist Email Scraper?

The Speech Lang Pathologist Email Scraper is a purpose-built lead generation and contact discovery tool designed for:

- Private clinics and therapy practice owners
- Healthcare marketing teams and B2B outreach specialists
- Staffing and recruiting agencies
- Researchers and data analysts

It combines Google Maps listing discovery with deep website crawling to extract public contact data and build a high-quality speech lang pathologist list. Whether you need a speech lang pathologist lead scraper, a speech lang pathologist email finder, or a speech lang pathologist lead finder, this workflow does it all in one run. Under the hood, it operates as a robust speech lang pathologist data scraper that collects names, websites, phones, emails, ratings, and more — producing structured outputs you can use immediately.

Use it as your all-in-one speech lang pathologist email scraper for discovery, extraction, and enrichment.

---

#### 📦 What Data Does It Extract?

- Business Name
- Website
- Phone
- Full Address
- City / State / ZIP
- Country Code
- Emails (all public speech lang pathologist email addresses found)
- Additional Phones
- Social Media Links
- Email Count
- Pages Scraped
- Rating
- Reviews
- Latitude / Longitude
- Place ID
- Scrape Status

---

#### ⚙️ Input Configuration

##### Minimal Example

```json
{
  "googleMapsSearchTerm": "Speech Lang Pathologist",
  "googleMapsLocation": ["New York"],
  "maxBusinesses": 50
}
````

##### Full Example with All Options

```json
{
  "googleMapsSearchTerm": "Speech Lang Pathologist",
  "googleMapsLocation": [
    "New York",
    "Chicago, Illinois",
    "Los Angeles, California"
  ],
  "maxBusinesses": 200,
  "scrapeMaxBusinessesPerLocation": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

##### Input Parameters

- googleMapsSearchTerm (String, Required): Business type to search — e.g., "Speech Lang Pathologist", "speech therapy clinic"
- googleMapsLocation (Array, Required): One or more locations — e.g., \["New York", "Austin, Texas"]
- maxBusinesses (Number, Optional): Max businesses with emails to return (1–1,000). Actor stops as soon as the target is reached
- scrapeMaxBusinessesPerLocation (Boolean, Optional): If true, applies maxBusinesses per location; if false, uses a combined total
- proxyConfiguration (Object, Optional): Proxy settings. Strongly recommended for large runs

***

#### 📤 Sample Output

```json
[
  {
    "name": "ClearVoice Speech Therapy",
    "website": "https://www.clearvoicespeech.com",
    "phone": "+1 212-555-0196",
    "full_address": "415 Lexington Ave, New York, NY 10017, United States",
    "city": "New York",
    "state": "NY",
    "zip": "10017",
    "country_code": "US",
    "scraped_emails": [
      "info@clearvoicespeech.com",
      "appointments@clearvoicespeech.com"
    ],
    "scraped_phones": ["+1 212-555-0196", "+1 212-555-0144"],
    "scraped_social_media": [
      "facebook:https://facebook.com/clearvoicespeech",
      "instagram:https://instagram.com/clearvoicespeech",
      "linkedin:https://linkedin.com/company/clearvoicespeech"
    ],
    "emails_found": 2,
    "pages_scraped": 12,
    "avg_rating": 4.9,
    "total_reviews": 86,
    "lat": 40.7528,
    "long": -73.9762,
    "place_id": "ChIJ-EXAMPLEID-1234",
    "scrape_status": "success"
  }
]
```

***

#### 🔧 How It Works — Under the Hood

```
Step 1 → Search Google Maps using your term + location
Step 2 → Collect business listings (name, address, phone, website)
Step 3 → Visit each website and crawl key pages (Home, Contact, About, etc.)
Step 4 → Extract public emails, phone numbers, and social media links
Step 5 → Deduplicate and normalize all contact data
Step 6 → Return structured results ready for export or API consumption
```

Acting as a reliable speech lang pathologist contact scraper and speech lang pathologist email extractor, the pipeline automates both discovery and extraction so you can move straight to outreach.

***

#### ✨ Key Features

##### 🎯 Precise Location Targeting

Enter any city, state, or region. The actor pinpoints providers in your exact target areas and delivers localized speech lang pathologist leads for better conversion.

##### 🔍 Deep Website Crawl

Goes beyond the listing. Crawls homepages, contact pages, about pages, and footers to surface every available public speech lang pathologist email and phone number. Works hand-in-hand with the speech lang pathologist email extractor logic for higher coverage.

##### 🌎 Multi-Location Scaling

Run across dozens of cities at once with a combined cap or a per-location cap — perfect for building a large, multi-market speech lang pathologist lead scraper workflow and scaling your speech lang pathologist data scraper campaigns.

##### 🧹 Smart De-Duplication

Automatically removes duplicate emails per domain so your lists stay clean and accurate — no messy cleanup required after export.

##### 📊 Structured, CRM-Ready Output

Normalized field names and consistent formatting make it easy to drop results into HubSpot, Salesforce, Apollo, or Instantly. Ideal when you use it as a speech lang pathologist contact finder within your CRM stack.

##### 🛡️ Proxy-Ready for Reliability

Built-in proxy support enables stable, large-scale runs without rate-limiting or IP blocks — crucial when operating any speech lang pathologist contact scraper at scale.

##### ⏱️ Stop at Your Target

The actor halts as soon as your maxBusinesses limit is reached — saving compute and time.

##### 🔄 Schedulable & Repeatable

Run daily, weekly, or monthly to continuously grow and refresh your lists — a dependable speech lang pathologist email finder for ongoing outreach.

***

#### 🎯 Use Cases

##### 💼 B2B Outreach & Sales

Generate targeted pitch lists for clinics, therapy practices, and healthcare groups. Pair the speech lang pathologist lead scraper with your cold email tools for fast pipeline growth.

##### 🧑‍⚕️ Healthcare Staffing & Recruiting

Identify therapy practices and clinic managers faster. Use the speech lang pathologist lead finder to uncover contacts you won’t find on job boards.

##### 📣 Local & Regional Marketing

Create geo-targeted campaigns using verified phone numbers and speech lang pathologist email addresses pulled directly from clinic websites.

##### 🤝 Partnership & Referral Development

Find complementary providers for partnerships — pediatricians, schools, ENT clinics — using the actor as a speech lang pathologist contact finder.

##### 📚 Academic Research & Surveys

Quickly assemble a regional speech lang pathologist list for surveys or public health initiatives. The underlying speech lang pathologist data scraper ensures consistent, structured records.

##### 🏢 Agency Client Delivery

Run repeatable weekly scrapes and deliver fresh speech lang pathologist leads to clients on a predictable schedule.

##### 🗃️ CRM Enrichment

Fill gaps in your records with missing emails, phones, and social links — powered by the embedded speech lang pathologist email extractor.

***

#### 📈 How Many Results Can You Get?

Scale from a small prospect list to a large regional database — results depend on:

- Number of locations added
- Search term breadth (niche vs. broad)
- Website density and email visibility in each market
- maxBusinesses setting and per-location vs. combined mode
- Proxy configuration and run timeout

Typical Output Ranges:

- Small (1–3 cities): 20–100 businesses with emails
- Medium (5–15 cities): 200–600 businesses with emails
- Large (20+ cities/states): 800–1,000+ per run

Run multiple times across different regions to steadily grow your speech lang pathologist list and keep your speech lang pathologist leads fresh.

***

#### 🔌 Integrations & Export Options

Once your run completes, you can:

- JSON — Full structured data download
- CSV / Excel — Import directly into spreadsheets
- Apify API — Stream results into your own apps or workflows
- Zapier / Make — Trigger automations when new records are found
- Webhooks — Push results to your CRM or pipeline on run completion

Export clean records for use with Instantly, Smartlead, Apollo, HubSpot, Salesforce, or any platform that accepts CSV/JSON imports.

***

#### 🛠️ Step-by-Step Usage Guide

- Step 1 — Log in to Apify\
  Create a free account or sign in at apify.com.

- Step 2 — Open the Actor\
  Search for "speech lang pathologist email scraper" in the Apify Store and click Try for free.

- Step 3 — Set Your Search Term\
  Enter "Speech Lang Pathologist" or a niche variant like "speech therapy clinic" or "pediatric speech therapist".

- Step 4 — Add Target Locations\
  Enter one or more city/state combos — e.g., "New York", "Austin, Texas".

- Step 5 — Set Your Limit\
  Choose how many businesses with emails you want — 20 for a quick test, up to 1,000 for a full campaign.

- Step 6 — Choose Scaling Strategy\
  • Combined cap: The total across all locations combined\
  • Per-location cap: Applies your limit independently to each city

- Step 7 — Enable Proxies\
  Turn on Apify Proxy for stable, uninterrupted crawling at scale.

- Step 8 — Run 🚀\
  Click Start and let the speech lang pathologist email scraper do the work.

- Step 9 — Export\
  Download as JSON, CSV, or Excel — or pull via API straight into your stack.

***

#### ⚖️ Legal & Compliance

This actor collects only publicly available business contact information — emails and phone numbers published openly on websites.

Best practices to stay compliant:

- Only use publicly visible contact data
- Do not bypass login walls or paywalls
- Respect each website’s robots.txt and Terms of Service
- Include an unsubscribe option in outreach
- Follow applicable laws in your jurisdiction

Relevant regulations to be aware of:

- GDPR (EU)
- CAN-SPAM Act (US)
- CASL (Canada)
- PECR (UK)

This tool is intended for ethical business prospecting only. You are responsible for how you use the data collected.

***

#### ❓ Frequently Asked Questions

Q: Does this scrape private or personal emails?\
A: No. The actor only extracts emails that are publicly visible on business websites — practice inboxes and general inquiry addresses — via the speech lang pathologist email extractor logic.

Q: Can I search multiple cities in one run?\
A: Yes. Add as many locations as needed. Use per-location capping for even geographic distribution.

Q: Is this just a Google Maps scraper?\
A: It’s more than that. It discovers listings on Google Maps, then crawls websites as a speech lang pathologist contact scraper and normalizes outputs for immediate use.

Q: Does it deduplicate results?\
A: Yes. Emails are deduplicated per domain to keep your lists accurate. The speech lang pathologist email scraper also normalizes and validates formats where possible.

Q: Can I schedule recurring runs?\
A: Absolutely. Use Apify’s scheduler to run weekly or monthly and keep your speech lang pathologist leads fresh.

Q: What niches does the search term support?\
A: Any Google Maps-searchable term — try "speech therapy clinic", "speech therapist", "pediatric speech therapy", or "adult speech therapy".

Q: Is a proxy required?\
A: Not for small runs, but strongly recommended for 200+ business runs to avoid rate limits — especially when operating a speech lang pathologist data scraper at scale.

Q: How is this different from manual searching?\
A: Manual search is slow and inconsistent. This combines discovery and extraction in minutes, acting as a speech lang pathologist contact finder and email finder so you can move straight to outreach.

Q: Can agencies white-label or resell this?\
A: Yes. Run it on behalf of clients and deliver fresh results on a recurring basis.

***

#### 🧑‍💻 Support & Custom Solutions

Have a question, feature request, or need a custom build?

Email: scrapermindapi@gmail.com

We’re happy to help with:

- Custom input/output configurations
- Niche-specific adaptations
- Bulk or enterprise run support
- Integration assistance

***

Built for healthcare marketers, staffing professionals, and outreach teams who need accurate speech lang pathologist leads at scale — fast.

For any help or custom solution, contact via this mail: scrapermindapi@gmail.com

# Actor input Schema

## `googleMapsSearchTerm` (type: `string`):

Enter the business type or niche for email scraper (e.g., 'coffee shops', 'dentists').

## `googleMapsLocation` (type: `array`):

Target geographic location for the email scraper (e.g., 'Miami, Florida').

## `maxBusinesses` (type: `integer`):

Target number of businesses to find (1-1000). The scraper will stop when this target is reached.

## `scrapeMaxBusinessesPerLocation` (type: `boolean`):

If enabled, the scraper will collect up to `maxBusinesses` results per location. If disabled, it combines all locations up to a single total limit.

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

Proxy settings for scraping. Recommended for large-scale scraping.

## Actor input object example

```json
{
  "googleMapsSearchTerm": "Speech Lang Pathologist",
  "googleMapsLocation": [
    "New York"
  ],
  "maxBusinesses": 5,
  "scrapeMaxBusinessesPerLocation": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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 = {
    "googleMapsSearchTerm": "Speech Lang Pathologist",
    "googleMapsLocation": [
        "New York"
    ],
    "maxBusinesses": 5,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("contacts-api/speech-lang-pathologist-email-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 = {
    "googleMapsSearchTerm": "Speech Lang Pathologist",
    "googleMapsLocation": ["New York"],
    "maxBusinesses": 5,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("contacts-api/speech-lang-pathologist-email-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 '{
  "googleMapsSearchTerm": "Speech Lang Pathologist",
  "googleMapsLocation": [
    "New York"
  ],
  "maxBusinesses": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call contacts-api/speech-lang-pathologist-email-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Speech Lang Pathologist Email Scraper",
        "description": "Speech-language pathologist email scraper to extract verified speech therapist emails from clinics, hospitals, rehabilitation centers, schools, and healthcare directories 📧🗣️ Perfect for healthcare outreach, recruitment, and speech therapy lead generation.",
        "version": "1.0",
        "x-build-id": "raoOmMUmJaC4K5Y7M"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/contacts-api~speech-lang-pathologist-email-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-contacts-api-speech-lang-pathologist-email-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/contacts-api~speech-lang-pathologist-email-scraper/runs": {
            "post": {
                "operationId": "runs-sync-contacts-api-speech-lang-pathologist-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/contacts-api~speech-lang-pathologist-email-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-contacts-api-speech-lang-pathologist-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "googleMapsLocation",
                    "googleMapsSearchTerm"
                ],
                "properties": {
                    "googleMapsSearchTerm": {
                        "title": "Search Term",
                        "type": "string",
                        "description": "Enter the business type or niche for email scraper (e.g., 'coffee shops', 'dentists').",
                        "default": "Speech Lang Pathologist"
                    },
                    "googleMapsLocation": {
                        "title": "Location",
                        "type": "array",
                        "description": "Target geographic location for the email scraper (e.g., 'Miami, Florida').",
                        "default": [
                            "New York"
                        ],
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxBusinesses": {
                        "title": "Maximum Businesses With Emails",
                        "minimum": 1,
                        "maximum": 1000,
                        "type": "integer",
                        "description": "Target number of businesses to find (1-1000). The scraper will stop when this target is reached.",
                        "default": 5
                    },
                    "scrapeMaxBusinessesPerLocation": {
                        "title": "Scrape Max Businesses Per Location",
                        "type": "boolean",
                        "description": "If enabled, the scraper will collect up to `maxBusinesses` results per location. If disabled, it combines all locations up to a single total limit.",
                        "default": false
                    },
                    "proxyConfiguration": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "Proxy settings for scraping. Recommended for large-scale scraping."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```