A web scraping API written in Python to fetch data from the Department of Transportation's https://safer.fmcsa.dot.gov
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Updated
Jan 4, 2025 - Python
A web scraping API written in Python to fetch data from the Department of Transportation's https://safer.fmcsa.dot.gov
Safer Scraper Streamlit App is a web application that allows users to retrieve company data using the USDOT (United States Department of Transportation) code and fetch their details. The app is built using the Streamlit framework and utilizes Python libraries such as `safer` for accessing the FMCSA SAFER database and `BeautifulSoup` for web scrapin
Plan a truck driver's trip and get the daily log sheets to go with it. Enter where you are, where you're picking up, where you're dropping off, and the hours you've already worked this week. Outbound Spotter maps the route, schedules the required rest and fueling stops, and draws the daily logs the driver has to keep.
Trip planner for property-carrying truck drivers that auto-generates FMCSA-compliant ELD daily logs and route maps from a single trip input.
A production grade scraper to scrape all 2 million USDOT records from FMCSA site
MCP server for DOT/FMCSA compliance reference workflows across trucking regulations, hazardous materials, hours of service, and CSA categories.
TruckLog Pro: An FMCSA HOS compliant ELD trip planner built with Django, React, and Leaflet.
Full-stack HOS trip planner for truck drivers with live route mapping, duty-status timeline, 70-hour cycle tracking, fuel/rest stops, and printable FMCSA-style daily logs.
fmCSA carrier data extraction tool
Edge AI computer vision system using Raspberry Pi 5 and Edge Impulse to detect tailgating by CMVs, capture of DOT numbers with automatic reporting to safety departments and eventually to DOT/ FMCSA to affect CSA real-time.
n8n plugin for using the AlphaLoops Freight SDK within n8n
FlitIQ MCP server — FMCSA carrier intelligence tools for Claude. Pro/Team subscribers only
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