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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

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Safer Scraper Streamlit App

This is a Streamlit web application that allows you to scrape company data using the USDOT code and fetch their details. It uses the Python safer library to fetch company data and BeautifulSoup for web scraping.

Prerequisites

  • Python 3.x
  • Streamlit
  • BeautifulSoup
  • pandas
  • safer

You can install the required dependencies using the following command:

pip install streamlit beautifulsoup4 pandas safer

Getting Started

  1. Clone this repository: git clone https://github.com/uzairnz/safer-scraper-streamlit.git cd safer-scraper-streamlit

  2. Install the required dependencies (as mentioned above).

  3. Run the Streamlit app:

  4. streamlit run app.py

Usage

  1. Enter US DOT CODE to fetch data

Acknowledgements

  1. The safer library for providing access to the FMCSA SAFER database.
  2. Streamlit for enabling quick and interactive data visualization.
  3. BeautifulSoup for web scraping HTML content.

License

Copyright 2023 Uzair Majeed

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

About

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

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