# Freightwaves Scraper (`parseforge/freightwaves-scraper`) Actor

Collect freight and logistics news articles from FreightWaves. Get article titles, full content, authors, categories, tags, and publication dates. Filter by keyword, category (trucking, maritime, railroad, air cargo), or date range. Built for brokers, fleet operators, and logistics professionals.

- **URL**: https://apify.com/parseforge/freightwaves-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** News, Automation, Other
- **Stats:** 10 total users, 1 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: 5.00 out of 5 stars

## 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)

## 🚀 FreightWaves Scraper

> 🕒 **Last updated:** 2026-05-05

🚀 Unlock valuable insights from the freight and logistics industry with the FreightWaves Scraper.

Built for transportation brokers, logistics managers, fleet operators, and market analysts, this tool provides access to the latest freight market news, articles, and data. Stay ahead in the fast-paced world of transportation with real-time information on shipping costs, market trends, and industry analysis.

FreightWaves is a leading source of freight intelligence, offering critical data for informed decision-making. With this scraper, you can efficiently gather structured data on freight rates, logistics news, and supply chain insights, all without needing technical skills.

🎯 **Target Audience:** Transportation brokers, logistics managers, fleet operators, market analysts, supply chain professionals
📊 **Primary Use Cases:** Market intelligence, rate monitoring, competitive analysis, trend research

### 🔍 What Does FreightWaves Scraper Do?

This tool collects comprehensive freight and logistics intelligence from [freightwaves.com](https://www.freightwaves.com), supporting keyword search, category filtering, and date range analysis. It delivers:

- 📰 Article titles and direct URLs for source access
- 📅 Publication dates and author information
- 📝 Full article content and summaries
- 🏷️ Category classification (trucking, maritime, railroad, air cargo, and more)
- 🔖 Tags and keywords for topic identification
- 🖼️ Featured images for visual content
- ✨ And more

📈 **Business Value:** Monitor freight market conditions, track rate trends, analyze supply chain disruptions, and make data-driven transportation decisions with structured, up-to-date intelligence.

### 🔧 Input

To start collecting data from FreightWaves, simply fill in the input form. You can collect data based on:

- 🔍 **Search Keyword** - Search for specific freight topics (e.g., "trucking rates", "diesel fuel", "supply chain")
- 📂 **Category** - Filter by freight sector: Trucking, Maritime, Railroad, Air Cargo, Logistics, Shipping, LTL, Technology, and more
- 📅 **Date Range** - Set start and end dates (YYYY-MM-DD) for historical analysis
- 🔢 **Max Items** - Set the maximum number of articles to collect

Here's an example input configuration in JSON:

```json
{
    "searchKeyword": "trucking rates",
    "maxItems": 10
}
````

📂 **Category Filtering:**

```json
{
    "category": "maritime",
    "maxItems": 20
}
```

📅 **Date Range Analysis:**

```json
{
    "searchKeyword": "electric vehicles",
    "dateFrom": "2025-01-01",
    "dateTo": "2025-12-31",
    "maxItems": 50
}
```

🔍 **Combined Search:**

```json
{
    "searchKeyword": "supply chain",
    "category": "logistics",
    "maxItems": 10
}
```

💡 **Pro Tip:** You can use any combination of search keyword, category, and date range. If no filters are provided, the scraper will collect the latest articles across all categories.

### 📊 Output

After the Actor finishes its run, you'll get a dataset with the output. The length of the dataset depends on the amount of results you've set. You can download those results as an Excel, HTML, XML, JSON, and CSV document.

Here's an example of scraped FreightWaves data:

```json
{
    "imageUrl": "https://www.freightwaves.com/wp-content/uploads/2026/02/17/a-closeup-of-a-white-tractor-pulling-a-white-trailer-on-a-highway.jpg",
    "title": "TL rates up again without help from volume",
    "url": "https://www.freightwaves.com/news/tl-rates-up-again-without-help-from-volume",
    "id": "570600",
    "publishedDate": "2026-02-17",
    "author": "Todd Maiden",
    "category": "News, Top Stories, Trucking, Truckload Carriers, Truckload Freight",
    "content": "Volumes were down but freight rates continued to move higher in January...",
    "summary": "The Cass Freight Index showed truckload rates advanced again in January even as volumes fell.",
    "tags": ["Cass Freight Index", "Cass Information Systems", "TL spot rates", "truckload capacity", "Truckload rates"],
    "scrapedAt": "2026-02-17T16:11:07.029Z"
}
```

✅ **What You Get:** Complete article data including headlines, full content, author information, categories, tags, and publication dates for comprehensive freight market intelligence.
📥 **Download Options:** CSV, Excel, or JSON formats for easy analysis in your business tools.

### ⚡ Why Choose the FreightWaves Scraper?

- 📰 **Comprehensive Coverage**: Access articles on trucking, maritime, railroad, air cargo, logistics, and more
- 🔍 **Powerful Filtering**: Search by keyword, category, and date range to find exactly what you need
- 📝 **Full Article Content**: Get complete article text, summaries, and metadata - not just headlines
- 🏷️ **Rich Categorization**: Articles come with categories, tags, and keywords for easy organization
- ⚡ **Fast and Reliable**: Collects hundreds of articles in minutes with built-in rate limiting

⏰ **Time Savings:** Save hours of manual news browsing and content collection every week.
🚀 **Efficiency:** Collect thousands of articles in minutes instead of days of manual research.

### 📱 How to Use

1. 📝 **Sign Up**: [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes)
2. 🔍 **Find the Scraper**: Visit the FreightWaves Scraper page on Apify
3. 🎯 **Set Input**: Add your search keywords, categories, or date ranges
4. 🚀 **Run It**: Click "Start" and let it collect your data
5. 📥 **Download Data**: Get your results in the "Dataset" tab as CSV, Excel, or JSON

🛡️ **No Technical Skills Required:** Everything is point-and-click.

### 🎯 Business Use Cases

**🚛 Transportation Brokers:**

- 💰 Monitor spot rates across key shipping lanes
- 📊 Track capacity trends for load planning
- 🔍 Analyze competitor rate strategies
- 📈 Identify market opportunities early

**📦 Logistics Managers:**

- ⚖️ Compare freight costs across modes (truck, rail, ocean, air)
- ⛽ Monitor fuel cost impacts on shipping
- ⚠️ Track supply chain disruptions in real time
- 📋 Plan capacity requirements with data-driven insights

**📈 Market Analysts:**

- 📊 Research transportation industry trends
- 💹 Analyze freight rate correlations and patterns
- 📜 Monitor regulatory impacts on the industry
- 🌍 Track economic indicators affecting logistics

**🚚 Fleet Operators:**

- 📊 Benchmark your rates against market rates
- 🔍 Monitor demand in target markets
- ⛽ Track fuel and equipment costs
- 📈 Analyze route profitability with current data

***

***

### ✨ 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 |
|---|---|---|---|---|---|
| **⭐ FreightWaves 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 FreightWaves 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%20Freightwaves%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%20Freightwaves%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%20Freightwaves%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%20Freightwaves%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.)

### ❓ Frequently Asked Questions

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

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

</details>

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

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

</details>

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

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

</details>

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

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

</details>

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

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

</details>

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

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

</details>

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

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

***

</details>

### 🔌 Using FreightWaves Scraper with the Apify API

For advanced users who want to automate this process, you can control the scraper programmatically with the Apify API. This allows you to schedule regular data collection and integrate with your existing business tools.

- 💻 **Node.js**: Install the apify-client NPM package
- 🐍 **Python**: Use the apify-client PyPI package
- 📖 See the [Apify API reference](https://docs.apify.com/api/v2) for full details

### 🔄 Integrate FreightWaves Scraper with any app and automate your workflow

Last but not least, FreightWaves Scraper can be connected with almost any cloud service or web app thanks to [integrations](https://apify.com/integrations) on the Apify platform.

These include:

- 🔧 [Make](https://docs.apify.com/platform/integrations/make)
- ⚡ [Zapier](https://docs.apify.com/platform/integrations/zapier)
- 💬 [Slack](https://docs.apify.com/platform/integrations/slack)
- 🔄 [Airbyte](https://docs.apify.com/platform/integrations/airbyte)
- 🐙 [GitHub](https://docs.apify.com/platform/integrations/github)
- 📁 [Google Drive](https://docs.apify.com/platform/integrations/drive)
- and [much more](https://docs.apify.com/platform/integrations). 🎉

Alternatively, you can use webhooks to carry out an action whenever an event occurs, e.g. get a notification whenever FreightWaves Scraper successfully finishes a run. 🔔

### 🔌 Integrate with any app

FreightWaves 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.

***

### 🔗 Recommended Actors

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

| Actor | Description | Link |
|-------|-------------|------|
| PR Newswire Scraper | Collects press releases and news data from PR Newswire | <https://apify.com/parseforge/pr-newswire-scraper> |
| GSA eLibrary Scraper | Extracts government contract and procurement data from GSA | <https://apify.com/parseforge/gsa-elibrary-scraper> |
| Machinery Trader Sell Scraper | Collects heavy equipment and machinery listings | <https://apify.com/parseforge/machinerytrader-scraper> |
| Iron Planet Scraper | Collects equipment listing data from Iron Planet marketplace | <https://apify.com/parseforge/iron-planet-scraper> |
| FINRA BrokerCheck Scraper | Extracts financial professional and firm data from FINRA | <https://apify.com/parseforge/finra-brokercheck-scraper> |

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

🤝 **Need Help?** Our support team is here to help you get the most out of this tool. [Contact ParseForge](https://tally.so/r/BzdKgA) to request a new scraper, propose a custom data project, or report a technical issue.

***

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

# Actor input Schema

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

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

## `searchKeyword` (type: `string`):

Search for specific freight or logistics topics

## `category` (type: `string`):

Filter by freight category or industry sector

## `dateFrom` (type: `string`):

Start date for filtering articles (YYYY-MM-DD)

## `dateTo` (type: `string`):

End date for filtering articles (YYYY-MM-DD)

## Actor input object example

```json
{
  "maxItems": 10,
  "searchKeyword": "trucking rates",
  "dateFrom": "2024-01-01",
  "dateTo": "2024-12-31"
}
```

# Actor output Schema

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

Complete dataset with all scraped freight and logistics data

# 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
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/freightwaves-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 }

# Run the Actor and wait for it to finish
run = client.actor("parseforge/freightwaves-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
}' |
apify call parseforge/freightwaves-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Freightwaves Scraper",
        "description": "Collect freight and logistics news articles from FreightWaves. Get article titles, full content, authors, categories, tags, and publication dates. Filter by keyword, category (trucking, maritime, railroad, air cargo), or date range. Built for brokers, fleet operators, and logistics professionals.",
        "version": "0.2",
        "x-build-id": "0B5rwVQjxBdosZLrf"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/parseforge~freightwaves-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-parseforge-freightwaves-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/parseforge~freightwaves-scraper/runs": {
            "post": {
                "operationId": "runs-sync-parseforge-freightwaves-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/parseforge~freightwaves-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-parseforge-freightwaves-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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"
                    },
                    "searchKeyword": {
                        "title": "Search Keyword",
                        "type": "string",
                        "description": "Search for specific freight or logistics topics"
                    },
                    "category": {
                        "title": "Category",
                        "enum": [
                            "trucking",
                            "maritime",
                            "railroad",
                            "aircargo",
                            "logistics",
                            "shipping",
                            "truckload",
                            "ltl",
                            "container",
                            "technology",
                            "regulation",
                            "supply-chains",
                            "economics",
                            "finance",
                            "weather"
                        ],
                        "type": "string",
                        "description": "Filter by freight category or industry sector"
                    },
                    "dateFrom": {
                        "title": "Date From",
                        "pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}$",
                        "type": "string",
                        "description": "Start date for filtering articles (YYYY-MM-DD)"
                    },
                    "dateTo": {
                        "title": "Date To",
                        "pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}$",
                        "type": "string",
                        "description": "End date for filtering articles (YYYY-MM-DD)"
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```