This script scrapes and stores the availability of timeslots for Car Driving Test at all RTA Serivce NSW centres in the state.

Overview

This script scrapes and stores the availability of timeslots for Car Driving Test at all RTA Serivce NSW centres in the state.

Dependencies

  1. Account with RTA NSW where you can have passed knowledge test, hazard test etc.
  2. chrome driver executable in your PATH variable
  3. Python3 and Selenium installed
  4. Optional jq and R for creating reports from results

Usage

Clone the repo

git clone https://github.com/sbmkvp/rta_booking_information

Set your working directory to the repo

cd rta_booking_information

Copy and modify the sample settings file

cp settings_sample.json settings.json

Change the username, password, if you already have a booking and the specific centres you are looking for. If you leave the centres null all centres will be searched.

Run the script (for bash based systems e.g. mac/linux/WSL)

./scrape_availability.py

Run the script (for windows)

python3 scrape_availability.py

The results should be saved in the results folder. You can convert these to csv report by using the second script (requires jq,bash and R with tidyverse)

./create_status_report result_file.json

This has been tested to work in my system but there are numerous edge cases where this might fail.

  • Your account status is different to mine
  • RTA changes website.
  • RTA IT team blocks your IP
  • The website is very slow

If the website is slow and the script fails at selecting the driving test on a new booking try increasing the wait_timer.

Disclaimer:

  • For personal use only.
  • Dont break the law or cause disruption using this.
  • Using automated scripts irresponsibily can cause booking loss, disruption of services etc. be careful and know what you are doing.
  • You are responsible for your actions.
Owner
Balamurugan Soundararaj
Post Doctoral Fellow on Data Analytics and Visualization at UNSW, Sydney. Working on visualizing property valuation models and results.
Balamurugan Soundararaj
Minimal implementation of Denoised Smoothing: A Provable Defense for Pretrained Classifiers in TensorFlow.

Denoised-Smoothing-TF Minimal implementation of Denoised Smoothing: A Provable Defense for Pretrained Classifiers in TensorFlow. Denoised Smoothing is

Sayak Paul 19 Dec 11, 2022
A repository for generating stylized talking 3D and 3D face

style_avatar A repository for generating stylized talking 3D faces and 2D videos. This is the repository for paper Imitating Arbitrary Talking Style f

Haozhe Wu 191 Dec 22, 2022
Neon: an add-on for Lightbulb making it easier to handle component interactions

Neon Neon is an add-on for Lightbulb making it easier to handle component interactions. Installation pip install git+https://github.com/neonjonn/light

Neon Jonn 9 Apr 29, 2022
Simple tool to combine(merge) onnx models. Simple Network Combine Tool for ONNX.

snc4onnx Simple tool to combine(merge) onnx models. Simple Network Combine Tool for ONNX. https://github.com/PINTO0309/simple-onnx-processing-tools 1.

Katsuya Hyodo 8 Oct 13, 2022
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

Documentation | FAQ | Release Notes | Roadmap | MACE Model Zoo | Demo | Join Us | 中文 Mobile AI Compute Engine (or MACE for short) is a deep learning i

Xiaomi 4.7k Dec 29, 2022
Build Graph Nets in Tensorflow

Graph Nets library Graph Nets is DeepMind's library for building graph networks in Tensorflow and Sonnet. Contact DeepMind 5.2k Jan 05, 2023

Website which uses Deep Learning to generate horror stories.

Creepypasta - Text Generator Website which uses Deep Learning to generate horror stories. View Demo · View Website Repo · Report Bug · Request Feature

Dhairya Sharma 5 Oct 14, 2022
Semi-supervised Transfer Learning for Image Rain Removal. In CVPR 2019.

Semi-supervised Transfer Learning for Image Rain Removal This package contains the Python implementation of "Semi-supervised Transfer Learning for Ima

Wei Wei 59 Dec 26, 2022
This is an example implementation of the paper "Cross Domain Robot Imitation with Invariant Representation".

IR-GAIL This is an example implementation of the paper "Cross Domain Robot Imitation with Invariant Representation". Dependency The experiments are de

Zhao-Heng Yin 1 Jul 14, 2022
Code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizability of Cross-Task Neural Architecture Search.

TransNAS-Bench-101 This repository contains the publishable code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizabili

Yawen Duan 17 Nov 20, 2022
A unified 3D Transformer Pipeline for visual synthesis

Overview This is the official repo for the paper: NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion. NÜWA is a unified multimodal p

Microsoft 2.6k Jan 06, 2023
Stream images from a connected camera over MQTT, view using Streamlit, record to file and sqlite

mqtt-camera-streamer Summary: Publish frames from a connected camera or MJPEG/RTSP stream to an MQTT topic, and view the feed in a browser on another

Robin Cole 183 Dec 16, 2022
​ This is the Pytorch implementation of Progressive Attentional Manifold Alignment.

PAMA This is the Pytorch implementation of Progressive Attentional Manifold Alignment. Requirements python 3.6 pytorch 1.2.0+ PIL, numpy, matplotlib C

98 Nov 15, 2022
🧠 A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016

Deep CORAL A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation. B Sun, K Saenko, ECCV 2016' Deep CORAL can learn

Andy Hsu 200 Dec 25, 2022
Repository for the semantic WMI loss

Installation: pip install -e . Installing DL2: First clone DL2 in a separate directory and install it using the following commands: git clone https:/

Nick Hoernle 4 Sep 15, 2022
A curated list of awesome Active Learning

Awesome Active Learning 🤩 A curated list of awesome Active Learning ! 🤩 Background (image source: Settles, Burr) What is Active Learning? Active lea

BAI Fan 431 Jan 03, 2023
Randomizes the warps in a stock pokeemerald repo.

pokeemerald warp randomizer Randomizes the warps in a stock pokeemerald repo. Usage Instructions Install networkx and matplotlib via pip3 or similar.

Max Thomas 6 Mar 17, 2022
[CVPR'21] Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild

IVOS-W Paper Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild Zhaoyun Yin, Jia Zheng, Weixin Luo, Shenhan Qian, Hanli

SVIP Lab 38 Dec 12, 2022
FAVD: Featherweight Assisted Vulnerability Discovery

FAVD: Featherweight Assisted Vulnerability Discovery This repository contains the replication package for the paper "Featherweight Assisted Vulnerabil

secureIT 4 Sep 16, 2022
EssentialMC2 Video Understanding

EssentialMC2 Introduction EssentialMC2 is a complete system to solve video understanding tasks including MHRL(representation learning), MECR2( relatio

Alibaba 106 Dec 11, 2022