🚀 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, 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:

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

📂 Category Filtering:

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

📅 Date Range Analysis:

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

🔍 Combined Search:

{
    "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:

{
    "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 (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

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✨ 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.

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📈 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.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (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.

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💼 Business use cases

📊 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	🏢 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
🎯 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	🛠️ 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

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🌟 Beyond business use cases

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

🎓 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	🎨 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
🤝 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	🧪 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

🤖 Ask an AI assistant about this scraper

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

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

💰 How much does it cost?

Apify gives you $5 in free monthly credits on the Apify Free plan, enough to test FreightWaves Scraper and pull a real sample dataset. For ongoing usage:

• Starter plan ($49/month) — Recommended for individuals running FreightWaves Scraper regularly. Includes higher concurrency and larger datasets.
• Scale plan ($499/month) — Recommended for teams running FreightWaves Scraper at production scale.

Pay-Per-Event pricing means you only pay for what you actually use. Failed runs are never charged. See the Pricing tab on this Actor's page for exact event prices.

💡 Tips for using FreightWaves Scraper

• Start with a small maxItems (3-10) to validate output format before running larger jobs.
• Use Apify Schedules to run FreightWaves Scraper on a recurring basis and keep your dataset fresh.
• Export via Integrations: Apify connects to Google Sheets, Airbyte, Make, Zapier, and direct webhooks — pipe your data anywhere.
• Monitor with webhooks: trigger downstream workflows the moment a run finishes.
• Re-run failed items: if any individual records error out, re-run with their inputs only. Failed events are not charged.

⚖️ Is it legal to use FreightWaves Scraper?

Yes. FreightWaves Scraper only collects publicly available data. Web scraping public data has been confirmed as legal by US courts (see hiQ Labs v. LinkedIn) and is widely used for research, market analysis, and business intelligence.

However, you are responsible for:

• Respecting the source website's Terms of Service.
• Complying with GDPR, CCPA, and other applicable data-protection laws when personal data is involved.
• Not republishing copyrighted content without permission.

If you have specific compliance concerns, consult your legal team. See the Apify legal docs for more.

❓ Frequently Asked Questions

🔌 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 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 on the Apify platform.

These include:

• 🔧 Make
• ⚡ Zapier
• 💬 Slack
• 🔄 Airbyte
• 🐙 GitHub
• 📁 Google Drive
• and much more. 🎉

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:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google 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.

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💡 Pro Tip: Browse our complete collection of data collection actors 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 to request a new scraper, propose a custom data project, or report a technical issue.

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⚠️ 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.