# EquipmentWatch Scraper (`parseforge/equipmentwatch-scraper`) Actor

Extract heavy equipment valuation and pricing data from EquipmentWatch, including FMV, OLV, FLV, MSRP, and full classification. Filter by manufacturer, model, category, or size class. Tracks lifecycle dates, availability flags, and delivers structured records ready for analysis and reporting.

- **URL**: https://apify.com/parseforge/equipmentwatch-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Developer tools, Automation, Other
- **Stats:** 4 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true)

## 🏗️ EquipmentWatch Scraper

> 🕒 **Last updated:** 2026-05-05


Collect heavy equipment valuations, retail pricing, and market data for thousands of models across construction, agricultural, and lift and access equipment. Search by manufacturer, model, category, or size class and get structured results ready for analysis.

Whether you are a fleet manager benchmarking trade-in values, an appraiser building valuation reports, or a financial analyst assessing equipment-backed collateral, this tool delivers consistent, machine-readable data without manual lookups.

> **The EquipmentWatch Scraper collects complete equipment records with up to 30 data fields per model, including Fair Market Value, Orderly Liquidation Value, Forced Liquidation Value, MSRP, and full taxonomy classification.**

### ✨ What Does It Do

- 💰 **Fair Market Value (FMV)** - retrieve the open-market price estimate for each equipment model and year to support negotiations, appraisals, and financing decisions
- 📉 **Orderly and Forced Liquidation Values** - capture OLV and FLV benchmarks to assess equipment worth under time-constrained or forced sale conditions
- 🏷️ **MSRP** - collect manufacturer retail pricing to compare current market values against original list prices
- 🏗️ **Full Taxonomy** - extract manufacturer, model, category, subtype, size class, and classification for every record to support structured filtering and reporting
- 📅 **Model Lifecycle Dates** - retrieve introduction and discontinuation dates to track equipment generations and identify active versus legacy models
- ✅ **Data Availability Flags** - check which models have valuation, specs, rental, and market data available before running deeper queries

### 🔧 Input

- **Manufacturer** - Filter by manufacturer name, e.g. `Genie`, `Skyjack`, `John Deere`. Leave blank to fetch all manufacturers
- **Model** - Filter by model name or number, e.g. `S-60`, `950K`. Leave blank to fetch all models for the manufacturer
- **Year** - The model year to retrieve valuations for. Defaults to the previous calendar year if not set
- **Max Items** - Set how many equipment records to collect. Free users: up to 100. Paid users: up to 1,000,000
- **Classification ID** - Limit results to a classification: `1` = Construction, `2` = Agricultural Equipment, `3` = Lift and Access
- **Category ID** - Filter by equipment category using a numeric ID
- **Subtype ID** - Filter by equipment subtype using a numeric ID
- **Manufacturer ID** - Filter by numeric manufacturer ID for exact matching
- **Size Class ID** - Filter by size class using a numeric ID
- **Partial Match** - Enable fuzzy matching on manufacturer and model name fields

Example input:
```json
{
  "manufacturer": "Genie",
  "maxItems": 10
}
````

### 📊 Output

Each equipment record includes up to 30 data fields. Download as JSON, CSV, or Excel.

| 🏗️ Model name | 🏭 Manufacturer | 📂 Category |
|---|---|---|
| 📋 Subtype | 🏷️ Classification | 📏 Size class |
| 💰 FMV | 💵 OLV | 📉 FLV |
| 🏷️ MSRP | 📅 Model year | 🗓️ Revision date |
| ✅ Has valuation data | 📋 Has specs | 🔧 Has rental rates |
| 📆 Date introduced | 📆 Date discontinued | 🕒 Scraped at |

### 💎 Why Choose the EquipmentWatch Scraper?

| Feature | Our Actor |
|---|---|
| Fair Market Value, OLV, and FLV per model | ✔️ |
| MSRP and revision date included | ✔️ |
| Filter by manufacturer, model, category, subtype, size class | ✔️ |
| Covers construction, agricultural, and lift and access equipment | ✔️ |
| Data availability flags per model (values, specs, rental, market) | ✔️ |
| Model lifecycle dates (introduced and discontinued) | ✔️ |
| Concurrent valuation requests for fast collection | ✔️ |
| Free tier: up to 100 records per run | ✔️ |
| Paid tier: up to 1,000,000 records per run | ✔️ |
| Export to JSON, CSV, or Excel format | ✔️ |

### 📋 How to Use

No technical skills required. Follow these simple steps:

1. **Sign Up**: [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp)
2. **Find the Tool**: Search for "EquipmentWatch Scraper" in the Apify Store and configure your input
3. **Run It**: Click "Start" and watch your results appear

That's it. No coding, no setup, no complicated configuration. Now you can export your data in CSV, Excel, or JSON format.

### 🎯 Business Use Cases

- 🏗️ **Fleet Manager** - pull FMV and OLV data for your entire equipment inventory to benchmark trade-in values and support financing decisions before the next procurement cycle
- 💼 **Equipment Appraiser** - collect FLV benchmarks and MSRP data across hundreds of models in one run to build comprehensive valuation reports without manual lookups
- 📊 **Financial Analyst** - extract collateral values across construction and agricultural equipment categories to assess equipment-backed loan portfolios and monitor market depreciation trends

***

### ✨ Why choose this Actor

| | Capability |
|---|---|
| 🎯 | **Built for the job.** Scoped specifically to this data source so you skip the parser engineering entirely. |
| 🔖 | **Structured output.** Clean, typed fields ready for analysis, dashboards, or downstream pipelines. |
| ⚡ | **Fast.** Optimized request patterns return results in seconds, not minutes. |
| 🔁 | **Always fresh.** Every run pulls live data, so the dataset reflects the source as of run time. |
| 🌐 | **No infra to manage.** Apify handles proxies, retries, scaling, scheduling, and storage. |
| 🛡️ | **Reliable.** Battle-tested across many runs and edge cases, with graceful error handling. |
| 🚫 | **No code required.** Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK. |

> 📊 Production-grade structured data without the engineering overhead of building and maintaining your own scraper.

***

### 📈 How it compares to alternatives

| Approach | Cost | Coverage | Refresh | Filters | Setup |
|---|---|---|---|---|---|
| **⭐ EquipmentWatch Scraper** *(this Actor)* | $5 free credit, then pay-per-use | Full source coverage | **Live per run** | Source-native filters supported | ⚡ 2 min |
| Build your own scraper | Engineering hours | Full once built | Whenever you maintain it | Custom code | 🐢 Days to weeks |
| Paid managed APIs | $$$ monthly | Vendor-defined | Live | Vendor-defined | ⏳ Hours |
| Third-party data dumps | Varies | Subset, often stale | Periodic | None | 🕒 Variable |

Pick this Actor when you want broad coverage, server-side filtering, and no pipeline maintenance.

***

### 🚀 How to use

1. 📝 **Sign up.** [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes).
2. 🌐 **Open the Actor.** Go to the EquipmentWatch Scraper page on the Apify Store.
3. 🎯 **Set input.** Configure the input fields in the form (or paste a JSON), then set `maxItems`.
4. 🚀 **Run it.** Click **Start** and let the Actor collect your data.
5. 📥 **Download.** Grab your results in the **Dataset** tab as CSV, Excel, JSON, or XML.

> ⏱️ Total time from signup to downloaded dataset: **3-5 minutes.** No coding required.

***

### 💼 Business use cases

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

#### 📊 Data & Analytics

- Build trend reports and dashboards from live source data
- Feed BI tools, warehouses, and ML pipelines with structured records
- Run periodic snapshots to track changes over time
- Compare segments, regions, or categories with consistent fields

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

#### 🏢 Operations & Strategy

- Monitor competitor moves, pricing, and inventory shifts
- Build internal directories and lookup tools backed by current data
- Power workflows that depend on fresh source records
- Cut manual data-gathering time from hours to minutes

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

#### 🎯 Marketing & Growth

- Identify market opportunities and trending topics
- Research target audiences and customer personas at scale
- Power lead-generation pipelines with verified records
- Track sentiment, reviews, or social signals over time

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

#### 🛠️ Engineering & Product

- Prototype features that need real-world data without owning a crawler
- Replace fragile in-house scrapers with a managed Actor
- Wire datasets into your apps via the Apify API or webhooks
- Skip the proxy, retry, and parsing maintenance entirely

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

***

### 🌟 Beyond business use cases

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

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

#### 🎓 Research and academia

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

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

#### 🎨 Personal and creative

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

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

#### 🤝 Non-profit and civic

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

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

#### 🧪 Experimentation

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

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

### 🤖 Ask an AI assistant about this scraper

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

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

***

### ❓ Frequently Asked Questions

**🔍 How does it work?**
The tool searches the equipment taxonomy for models matching your filters, then retrieves valuation data for each model and year. Active models with current market data are prioritized automatically.

**💰 What do FMV, OLV, and FLV mean?**
FMV (Fair Market Value) is the expected price in an open-market transaction. OLV (Orderly Liquidation Value) reflects a reasonable time-frame sale. FLV (Forced Liquidation Value) is the expected price under urgent or forced sale conditions.

**📦 Why are some valuation fields null?**
Not all models have active market valuation data on file. Older or discontinued models may have taxonomy records but no current pricing. The tool prioritizes active models to maximize the number of records with real values.

**📅 Can I schedule it to run automatically?**
Yes. Use integrations like Make or Zapier to run the scraper on a schedule and push results to your database or spreadsheet.

**⚠️ Are there any limits?**
Free users can collect up to 100 records per run. Paid users can collect up to 1,000,000 records per run.

### 🔗 Integrate EquipmentWatch Scraper with any app

- [Make](https://docs.apify.com/platform/integrations/make) - Automate workflows
- [Zapier](https://docs.apify.com/platform/integrations/zapier) - Connect 5000+ apps
- [GitHub](https://docs.apify.com/platform/integrations/github) - Version control integration
- [Slack](https://docs.apify.com/platform/integrations/slack) - Get notifications
- [Airbyte](https://docs.apify.com/platform/integrations/airbyte) - Data pipelines
- [Google Drive](https://docs.apify.com/platform/integrations/drive) - Export to spreadsheets

### 🔌 Integrate with any app

EquipmentWatch Scraper connects to any cloud service via [Apify integrations](https://apify.com/integrations):

- [**Make**](https://docs.apify.com/platform/integrations/make) - Automate multi-step workflows
- [**Zapier**](https://docs.apify.com/platform/integrations/zapier) - Connect with 5,000+ apps
- [**Slack**](https://docs.apify.com/platform/integrations/slack) - Get run notifications in your channels
- [**Airbyte**](https://docs.apify.com/platform/integrations/airbyte) - Pipe results into your warehouse
- [**GitHub**](https://docs.apify.com/platform/integrations/github) - Trigger runs from commits and releases
- [**Google Drive**](https://docs.apify.com/platform/integrations/drive) - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend, or alert your team in Slack.

***

### 💡 More ParseForge Actors

- [Iron Planet Scraper](https://apify.com/parseforge/iron-planet-scraper) - collect heavy equipment auction listings from IronPlanet with pricing, condition, hours, and bidding data
- [Machinery Trader Scraper](https://apify.com/parseforge/machinerytrader-scraper) - extract equipment listings from Machinery Trader with asking price, specs, dealer info, and location
- [Copart Public Search Scraper](https://apify.com/parseforge/copart-public-search-scraper) - pull vehicle and equipment auction data from Copart including lot details, damage type, and sale prices
- [FINRA BrokerCheck Scraper](https://apify.com/parseforge/finra-brokercheck-scraper) - retrieve broker and firm registration data from FINRA's public database for financial due diligence
- [BizBuySell Scraper](https://apify.com/parseforge/bizbuysell-scraper-v2) - collect business-for-sale listings including asking price, revenue, cash flow, and industry

Browse our complete collection of [data extraction tools](https://apify.com/parseforge) for more.

### 🚀 Ready to Start?

[Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) and collect your first 100 results for free. No coding, no setup.

### 🆘 Need Help?

- Check the FAQ section above for common questions
- Visit the [Apify support page](https://docs.apify.com) for documentation and tutorials
- Contact us to request a new scraper, propose a custom project, or report an issue at [Tally contact form](https://tally.so/r/BzdKgA)

### ⚠️ Disclaimer

> This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by EquipmentWatch or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

***

### 🔗 Recommended Actors

- [**🔍 Google Search Scraper**](https://apify.com/parseforge/google-search-scraper) - Multi-engine SERP results with country and language targeting
- [**🗺️ Nominatim OSM Scraper**](https://apify.com/parseforge/nominatim-osm-scraper) - Geocode addresses via OpenStreetMap
- [**📊 Indexmundi Scraper**](https://apify.com/parseforge/indexmundi-scraper) - Global demographic and economic indicators
- [**📰 RAG Web Browser**](https://apify.com/parseforge/rag-web-browser) - Crawl and extract clean text from any URL for AI retrieval
- [**🌐 Website Content Crawler**](https://apify.com/parseforge/website-content-crawler) - Crawl entire sites and export structured content

> 💡 **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more reference-data scrapers.

# Actor input Schema

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

Free users: Limited to 100. Paid users: Optional, max 1,000,000.

## `manufacturer` (type: `string`):

Filter by manufacturer name (e.g. "Caterpillar", "John Deere").

## `model` (type: `string`):

Filter by model name (e.g. "320", "950").

## `year` (type: `integer`):

Model year for valuations (e.g. 2022). Defaults to previous year if not set.

## `classificationId` (type: `integer`):

Filter by classification ID: 1 = Construction, 2 = Agricultural Equipment, 3 = Lift & Access.

## `categoryId` (type: `integer`):

Filter by equipment category ID (numeric). Use taxonomy lookup to find IDs.

## `subtypeId` (type: `integer`):

Filter by equipment subtype ID (numeric).

## `manufacturerId` (type: `integer`):

Filter by manufacturer ID (numeric). Use instead of manufacturer name for exact matching.

## `sizeClassId` (type: `integer`):

Filter by size class ID (numeric).

## `partialMatch` (type: `boolean`):

Enable partial matching for manufacturer and model name filters.

## `maxConcurrency` (type: `integer`):

Maximum number of parallel valuation requests (1-50).

## Actor input object example

```json
{
  "maxItems": 10,
  "manufacturer": "Genie",
  "partialMatch": false,
  "maxConcurrency": 25
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset with all scraped items

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

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

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "maxItems": 10,
    "manufacturer": "Genie"
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/equipmentwatch-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "maxItems": 10,
    "manufacturer": "Genie",
}

# Run the Actor and wait for it to finish
run = client.actor("parseforge/equipmentwatch-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "maxItems": 10,
  "manufacturer": "Genie"
}' |
apify call parseforge/equipmentwatch-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "EquipmentWatch Scraper",
        "description": "Extract heavy equipment valuation and pricing data from EquipmentWatch, including FMV, OLV, FLV, MSRP, and full classification. Filter by manufacturer, model, category, or size class. Tracks lifecycle dates, availability flags, and delivers structured records ready for analysis and reporting.",
        "version": "1.0",
        "x-build-id": "7VhcUIetdLazgrRFX"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/parseforge~equipmentwatch-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-parseforge-equipmentwatch-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/parseforge~equipmentwatch-scraper/runs": {
            "post": {
                "operationId": "runs-sync-parseforge-equipmentwatch-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/parseforge~equipmentwatch-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-parseforge-equipmentwatch-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "maxItems": {
                        "title": "Max Items",
                        "minimum": 1,
                        "maximum": 1000000,
                        "type": "integer",
                        "description": "Free users: Limited to 100. Paid users: Optional, max 1,000,000."
                    },
                    "manufacturer": {
                        "title": "Manufacturer",
                        "type": "string",
                        "description": "Filter by manufacturer name (e.g. \"Caterpillar\", \"John Deere\")."
                    },
                    "model": {
                        "title": "Model",
                        "type": "string",
                        "description": "Filter by model name (e.g. \"320\", \"950\")."
                    },
                    "year": {
                        "title": "Year",
                        "minimum": 1960,
                        "maximum": 2030,
                        "type": "integer",
                        "description": "Model year for valuations (e.g. 2022). Defaults to previous year if not set."
                    },
                    "classificationId": {
                        "title": "Classification ID",
                        "type": "integer",
                        "description": "Filter by classification ID: 1 = Construction, 2 = Agricultural Equipment, 3 = Lift & Access."
                    },
                    "categoryId": {
                        "title": "Category ID",
                        "type": "integer",
                        "description": "Filter by equipment category ID (numeric). Use taxonomy lookup to find IDs."
                    },
                    "subtypeId": {
                        "title": "Subtype ID",
                        "type": "integer",
                        "description": "Filter by equipment subtype ID (numeric)."
                    },
                    "manufacturerId": {
                        "title": "Manufacturer ID",
                        "type": "integer",
                        "description": "Filter by manufacturer ID (numeric). Use instead of manufacturer name for exact matching."
                    },
                    "sizeClassId": {
                        "title": "Size Class ID",
                        "type": "integer",
                        "description": "Filter by size class ID (numeric)."
                    },
                    "partialMatch": {
                        "title": "Partial Match",
                        "type": "boolean",
                        "description": "Enable partial matching for manufacturer and model name filters.",
                        "default": false
                    },
                    "maxConcurrency": {
                        "title": "Max Concurrency",
                        "minimum": 1,
                        "maximum": 50,
                        "type": "integer",
                        "description": "Maximum number of parallel valuation requests (1-50).",
                        "default": 25
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```