DAT Freight Rates Scraper

🚚 DAT freight rates for planning

Freight brokers, carrier teams, and logistics analysts can collect public DAT freight rates and related market measures in structured rows. Choose one data type and its filters to compare national rate history, regional load-to-truck ratios, national trend percentages, or the national diesel benchmark. Each row keeps the source URL so you can use the data in your own checks and workflows.

Use it to

• Review national freight measures with Freight Rates Today.
• Focus on flatbed observations with Flatbed Freight Rates.
• Pull 2026 per-mile rate data with Trucking Rates Per Mile 2026.
• Turn structured rate rows into a Trucking Freight Rates Chart.
• Check owner-operator rate data with Owner Operator Trucking Rates Per Mile.

📊 DAT freight observations

Choose one result type per run. The Output section lists every public row shape and shows a genuine row from a successful run for each one.

▶️ Choose a DAT data view

Run steps

1. Choose one result type.
2. Add only the filters that apply to that result type.
3. Leave Maximum results empty to return all available results until the source is exhausted, or set a row limit.
4. Start the run and open the default dataset.

⚙️ Input

The form uses one result type per run. Rate type, country, and time period apply to National rate history. Published regions apply to Regional load-to-truck ratios. Equipment categories apply to rate history and regional ratios, and are ignored for the other two result types.

Input fields

Field	Type	What it does
resultType	string	Required. Chooses national-rate-history, regional-load-to-truck-ratios, national-trend-percentages, or national-diesel-benchmark.
rateType	string	Chooses spot or contract rates for National rate history.
country	string	Chooses united-states or canada for National rate history.
period	string	Chooses weekly or monthly time granularity for National rate history.
regions	array of strings	Adds published state or province codes for Regional load-to-truck ratios, such as US-CA or CA-ON.
equipmentCategories	array of strings	Chooses equipment categories for National rate history or Regional load-to-truck ratios. Leave it empty to include all available categories. It is ignored for National trend percentages and National diesel benchmark.
maxItems	integer	Stops after this many rows. Leave it empty to return all available results until the source is exhausted.

Example input

This is the public input from the successful run using the default input.

{
  "resultType": "national-rate-history",
  "rateType": "spot",
  "country": "united-states",
  "period": "weekly",
  "equipmentCategories": [
    "van"
  ],
  "maxItems": 100
}

🧾 Output

The run output provides a link to the default dataset. Each run returns one of the four row shapes below, based on resultType.

Dataset link

Field	Type	What it does
dataset	string	Opens the successful freight observations from the run in the default dataset view.

National rate history row

Field	Type	What it does
datasetType	string	Identifies this row as national-rate-history.
period	string	Shows the time granularity: weekly or monthly.
periodStart	string (date)	First date covered by the rate observation.
periodEnd	string (date)	Last date covered by the rate observation.
rateType	string	Shows spot or contract.
country	string	Shows united-states or canada.
equipmentCategory	string	Names the equipment category covered by the rate.
rate	number	Published DAT freight rate.
fuelSurcharge	number, optional	Published DAT fuel surcharge measure when available.
sourceUrl	string	Public source reference for the observation.

Example row from the successful run using the default input

{
  "datasetType": "national-rate-history",
  "period": "weekly",
  "periodStart": "2025-09-22",
  "periodEnd": "2025-09-28",
  "rateType": "spot",
  "country": "united-states",
  "equipmentCategory": "van",
  "rate": 1.63,
  "fuelSurcharge": 0.42,
  "sourceUrl": "https://analytics.api.dat.com/v2/trendlines/nationalHistory"
}

Regional load-to-truck ratio row

Field	Type	What it does
datasetType	string	Identifies this row as regional-load-to-truck-ratios.
regionCode	string	Published state or province code, such as US-CA.
equipmentCategory	string	Names the equipment category covered by the ratio.
loadCount	number	Published DAT load measure.
truckCount	number	Published DAT truck measure.
loadToTruckRatio	number	Published DAT load-to-truck ratio.
sourceUrl	string	Public source reference for the observation.

Example row from a successful regional run

{
  "datasetType": "regional-load-to-truck-ratios",
  "regionCode": "US-CA",
  "equipmentCategory": "van",
  "loadCount": 11821.90323,
  "truckCount": 1333.41935,
  "loadToTruckRatio": 8.86586,
  "sourceUrl": "https://www.dat.com/wp-admin/admin-ajax.php"
}

National trend percentage row

Field	Type	What it does
datasetType	string	Identifies this row as national-trend-percentages.
weekOverWeekPercent	number	Published national change from the previous week, in percent.
monthOverMonthPercent	number	Published national change from the previous month, in percent.
yearOverYearPercent	number	Published national change from the previous year, in percent.
sourceUrl	string	Public source reference for the observation.

Example row from a successful trend run

{
  "datasetType": "national-trend-percentages",
  "weekOverWeekPercent": 17.726,
  "monthOverMonthPercent": -9.266,
  "yearOverYearPercent": 35.272,
  "sourceUrl": "https://analytics.api.dat.com/v2/trendlines/trends"
}

National diesel benchmark row

Field	Type	What it does
datasetType	string	Identifies this row as national-diesel-benchmark.
periodStart	string (date)	First date covered by the diesel benchmark observation.
periodEnd	string (date)	Last date covered by the diesel benchmark observation.
dieselPrice	number	Published national DAT diesel fuel-price benchmark.
sourceUrl	string	Public source reference for the observation.

Example row from a successful diesel run

{
  "datasetType": "national-diesel-benchmark",
  "periodStart": "2026-09-21",
  "periodEnd": "2026-09-21",
  "dieselPrice": 6.53,
  "sourceUrl": "https://analytics.api.dat.com/v2/trendlines/fuel"
}

💳 Pricing

Charged event

The dat-freight-observation event charges for one published freight metric saved to your dataset. The FREE tier price is $0.0225 per saved metric. Other Apify customer tiers use the rates shown in the Store pricing panel. A run with no saved rows does not trigger this event.

🔌 Integrations

Dataset access

Open the default dataset link from the Output section, or use the Apify API and client libraries to read the saved rows. Each row includes its public source URL for reference.

Video guide

❓ FAQ

Can I get lane-specific freight quotes?

No. This Actor returns public DAT national rate history and related national or regional measures. It does not provide lane-specific, origin-destination, or shipment-level quotes.

Can one run return more than one data type?

No. Choose one result type for each run. This keeps the filters and returned row shape clear.

Which fields matter for regional ratios?

Use regions to choose published states or provinces and equipmentCategories to choose equipment. Rate type, country, and time period apply to National rate history instead.

What happens if I leave Maximum results empty?

The run returns all available results until the source is exhausted. The source may still publish no rows for a requested region, period, or filter combination.

Why might a result type return no rows?

The source may not publish the requested data for the chosen filters or region. Try a broader equipment choice or region selection when the source has more coverage.

Does every row include a source URL?

Yes. Each public dataset shape includes sourceUrl, which points to the source reference used for that observation.

Do I need a DAT login or API key?

No. The Actor uses public DAT Trendlines data and does not require a DAT login or API key.

📝 Changelog

v0.0 (27-09-2026)

• Initial release.

🆘 Support

For issues, questions, or feature requests, file a ticket and I'll fix or implement it in less than 24h 🫡

🔗 Related Actors

• GasBuddy Fuel Prices Scraper: Compare local diesel and other fuel reports around a ZIP, city, state, or coordinate when national benchmark data needs local context.
• Container Shipping Rates Scraper: Compare public container freight rates and market indices on major shipping lanes.
• SeaRates Ocean Freight Scraper: Review ocean routes, ports, container types, and freight rate data.
• BTS Supply Chain Pressure & Freight Indicator Monitor: Add port congestion, diesel, rail, barge, and freight indicators to market research.
• FMCSA Carrier Safety Scraper: Check public carrier authority, safety, insurance, and fleet details beside freight-rate work.

Made with ❤️ by Maxime Dupré