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Excel Automation Script

Description

This script automates data extraction from Excel files located in the Excel directory. It simulates mouse movements and keypresses based on user-defined configurations.

Project Background

Developed for the Rochester Institute of Technology's Software Engineering department, this script eliminates manual input of student employees' hours from Excel into an external website. It was designed to save hours of work every week previously spent on repetitive tasks. It is also adaptable to other tasks that rely on manually entering Excel data. For example, I personally used this script as a Course Assistant at RIT to automate grade entry from Excel into MyCourses after updates by another assistant and professor confirmation.

Architecture Details

The script relies on a waypoint system set by the user on the screen, enabling flexibility across different websites without code redesign. Initial setup is required, and the screen must remain static during operation.

Installation Requirements

  1. Python3: Install Python3
  2. pip3: Install pip3
  3. Modules: Install dependencies listed in requirements.txt. Guide here

Configuration

  1. Open a terminal or cmd window.

  2. Navigate to the project directory.

  3. Run the setup command:

    python3 ./setup.py

  4. Configure the following options:

    • Wait Time: Set time (in seconds) between actions.
    • Datetime Format: Define datetime display format. Format codes
    • Waypoints: Define actions (e.g., click, enter) using keyboard shortcuts.

Waypoint Actions:

KeyAction
cClick
dDouble Click
tTab
eEnter
pPaste (input text)
iInsert Data (Excel input)
wWait (pause execution)

Press esc to save configurations and exit.

Execution Types

Choose between:

  • File-based: Process each Excel file in the directory.
  • Row-based: Process each row of data in each Excel file.

Running the Script

  1. Ensure Excel files are in the Excel directory.

  2. Run the script:

    python3 ./auto_excel.py

  3. Position your mouse on the target screen/window.

  4. The script will execute configured actions to input data from Excel into the website.

Common Issues

  • Non-Static Screen: Make sure the screen remains untouched and static during operation.
  • Non-Looping Configuration: Configure the script to return to the starting position after each cycle, so it can loop properly
  • Can't Accessing Excel Files: Verify correct file path and permissions.
  • Handling Unusual Excel Data: Script converts most data types to strings but may encounter issues with unconventional data.

About

No description, website, or topics provided.

Resources

Readme
Activity

Stars

0 stars

Watchers

1 watching

Forks

0 forks
Report repository

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - PickledPenguin/Auto_Excel · GitHub
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setup.py
Repository files navigation
Excel Automation Script
Description
This script automates data extraction from Excel files located in the Excel directory. It simulates mouse movements and keypresses based on user-defined configurations.
Project Background
Developed for the Rochester Institute of Technology's Software Engineering department, this script eliminates manual input of student employees' hours from Excel into an external website. It was designed to save hours of work every week previously spent on repetitive tasks. It is also adaptable to other tasks that rely on manually entering Excel data.
For example, I personally used this script as a Course Assistant at RIT to automate grade entry from Excel into MyCourses after updates by another assistant and professor confirmation.
Architecture Details
The script relies on a waypoint system set by the user on the screen, enabling flexibility across different websites without code redesign. Initial setup is required, and the screen must remain static during operation.
Installation Requirements
  1. Python3: Install Python3
  2. pip3: Install pip3
  3. Modules: Install dependencies listed in requirements.txt. Guide here
Configuration
  1. Open a terminal or cmd window.
  2. Navigate to the project directory.
  3. Run the setup command:
    python3 ./setup.py
  4. Configure the following options:
    • Wait Time: Set time (in seconds) between actions.
    • Datetime Format: Define datetime display format. Format codes
    • Waypoints: Define actions (e.g., click, enter) using keyboard shortcuts.
Waypoint Actions:
KeyAction
cClick
dDouble Click
tTab
eEnter
pPaste (input text)
iInsert Data (Excel input)
wWait (pause execution)
Press esc to save configurations and exit.
Execution Types
Choose between:
  • File-based: Process each Excel file in the directory.
  • Row-based: Process each row of data in each Excel file.
Running the Script
  1. Ensure Excel files are in the Excel directory.
  2. Run the script:
    python3 ./auto_excel.py
  3. Position your mouse on the target screen/window.
  4. The script will execute configured actions to input data from Excel into the website.
Common Issues
  • Non-Static Screen: Make sure the screen remains untouched and static during operation.
  • Non-Looping Configuration: Configure the script to return to the starting position after each cycle, so it can loop properly
  • Can't Accessing Excel Files: Verify correct file path and permissions.
  • Handling Unusual Excel Data: Script converts most data types to strings but may encounter issues with unconventional data.
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
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Used by
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - PickledPenguin/Auto_Excel · GitHub
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setup.py
Repository files navigation
Excel Automation Script
Description
This script automates data extraction from Excel files located in the Excel directory. It simulates mouse movements and keypresses based on user-defined configurations.
Project Background
Developed for the Rochester Institute of Technology's Software Engineering department, this script eliminates manual input of student employees' hours from Excel into an external website. It was designed to save hours of work every week previously spent on repetitive tasks. It is also adaptable to other tasks that rely on manually entering Excel data.
For example, I personally used this script as a Course Assistant at RIT to automate grade entry from Excel into MyCourses after updates by another assistant and professor confirmation.
Architecture Details
The script relies on a waypoint system set by the user on the screen, enabling flexibility across different websites without code redesign. Initial setup is required, and the screen must remain static during operation.
Installation Requirements
  1. Python3: Install Python3
  2. pip3: Install pip3
  3. Modules: Install dependencies listed in requirements.txt. Guide here
Configuration
  1. Open a terminal or cmd window.
  2. Navigate to the project directory.
  3. Run the setup command:
    python3 ./setup.py
  4. Configure the following options:
    • Wait Time: Set time (in seconds) between actions.
    • Datetime Format: Define datetime display format. Format codes
    • Waypoints: Define actions (e.g., click, enter) using keyboard shortcuts.
Waypoint Actions:
KeyAction
cClick
dDouble Click
tTab
eEnter
pPaste (input text)
iInsert Data (Excel input)
wWait (pause execution)
Press esc to save configurations and exit.
Execution Types
Choose between:
  • File-based: Process each Excel file in the directory.
  • Row-based: Process each row of data in each Excel file.
Running the Script
  1. Ensure Excel files are in the Excel directory.
  2. Run the script:
    python3 ./auto_excel.py
  3. Position your mouse on the target screen/window.
  4. The script will execute configured actions to input data from Excel into the website.
Common Issues
  • Non-Static Screen: Make sure the screen remains untouched and static during operation.
  • Non-Looping Configuration: Configure the script to return to the starting position after each cycle, so it can loop properly
  • Can't Accessing Excel Files: Verify correct file path and permissions.
  • Handling Unusual Excel Data: Script converts most data types to strings but may encounter issues with unconventional data.
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
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Used by
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
}
}
if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
var frag = document.createDocumentFragment();
var parts = text.split(regex);
parts.forEach(function(part, i) {
if (i % 2 === 0) {
frag.appendChild(document.createTextNode(part));
} else {
var span = document.createElement('span');
span.className = 'userscript-highlight';
span.textContent = part;
frag.appendChild(span);
}
});
node.parentNode.replaceChild(frag, node);
}
});
} else if (node.nodeType === 1 && node.childNodes) { // element
var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
}
}
}
highlight(document.body);
// Re-highlight on dynamic content
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - PickledPenguin/Auto_Excel · GitHub
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config.json
requirements.txt
requirements.txt
setup.py
setup.py
Repository files navigation
Excel Automation Script
Description
This script automates data extraction from Excel files located in the Excel directory. It simulates mouse movements and keypresses based on user-defined configurations.
Project Background
Developed for the Rochester Institute of Technology's Software Engineering department, this script eliminates manual input of student employees' hours from Excel into an external website. It was designed to save hours of work every week previously spent on repetitive tasks. It is also adaptable to other tasks that rely on manually entering Excel data.
For example, I personally used this script as a Course Assistant at RIT to automate grade entry from Excel into MyCourses after updates by another assistant and professor confirmation.
Architecture Details
The script relies on a waypoint system set by the user on the screen, enabling flexibility across different websites without code redesign. Initial setup is required, and the screen must remain static during operation.
Installation Requirements
  1. Python3: Install Python3
  2. pip3: Install pip3
  3. Modules: Install dependencies listed in requirements.txt. Guide here
Configuration
  1. Open a terminal or cmd window.
  2. Navigate to the project directory.
  3. Run the setup command:
    python3 ./setup.py
  4. Configure the following options:
    • Wait Time: Set time (in seconds) between actions.
    • Datetime Format: Define datetime display format. Format codes
    • Waypoints: Define actions (e.g., click, enter) using keyboard shortcuts.
Waypoint Actions:
KeyAction
cClick
dDouble Click
tTab
eEnter
pPaste (input text)
iInsert Data (Excel input)
wWait (pause execution)
Press esc to save configurations and exit.
Execution Types
Choose between:
  • File-based: Process each Excel file in the directory.
  • Row-based: Process each row of data in each Excel file.
Running the Script
  1. Ensure Excel files are in the Excel directory.
  2. Run the script:
    python3 ./auto_excel.py
  3. Position your mouse on the target screen/window.
  4. The script will execute configured actions to input data from Excel into the website.
Common Issues
  • Non-Static Screen: Make sure the screen remains untouched and static during operation.
  • Non-Looping Configuration: Configure the script to return to the starting position after each cycle, so it can loop properly
  • Can't Accessing Excel Files: Verify correct file path and permissions.
  • Handling Unusual Excel Data: Script converts most data types to strings but may encounter issues with unconventional data.
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
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Used by
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - PickledPenguin/Auto_Excel · GitHub
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README.md
README.md
auto_excel.py
auto_excel.py
config.json
config.json
requirements.txt
requirements.txt
setup.py
setup.py
Repository files navigation
Excel Automation Script
Description
This script automates data extraction from Excel files located in the Excel directory. It simulates mouse movements and keypresses based on user-defined configurations.
Project Background
Developed for the Rochester Institute of Technology's Software Engineering department, this script eliminates manual input of student employees' hours from Excel into an external website. It was designed to save hours of work every week previously spent on repetitive tasks. It is also adaptable to other tasks that rely on manually entering Excel data.
For example, I personally used this script as a Course Assistant at RIT to automate grade entry from Excel into MyCourses after updates by another assistant and professor confirmation.
Architecture Details
The script relies on a waypoint system set by the user on the screen, enabling flexibility across different websites without code redesign. Initial setup is required, and the screen must remain static during operation.
Installation Requirements
  1. Python3: Install Python3
  2. pip3: Install pip3
  3. Modules: Install dependencies listed in requirements.txt. Guide here
Configuration
  1. Open a terminal or cmd window.
  2. Navigate to the project directory.
  3. Run the setup command:
    python3 ./setup.py
  4. Configure the following options:
    • Wait Time: Set time (in seconds) between actions.
    • Datetime Format: Define datetime display format. Format codes
    • Waypoints: Define actions (e.g., click, enter) using keyboard shortcuts.
Waypoint Actions:
KeyAction
cClick
dDouble Click
tTab
eEnter
pPaste (input text)
iInsert Data (Excel input)
wWait (pause execution)
Press esc to save configurations and exit.
Execution Types
Choose between:
  • File-based: Process each Excel file in the directory.
  • Row-based: Process each row of data in each Excel file.
Running the Script
  1. Ensure Excel files are in the Excel directory.
  2. Run the script:
    python3 ./auto_excel.py
  3. Position your mouse on the target screen/window.
  4. The script will execute configured actions to input data from Excel into the website.
Common Issues
  • Non-Static Screen: Make sure the screen remains untouched and static during operation.
  • Non-Looping Configuration: Configure the script to return to the starting position after each cycle, so it can loop properly
  • Can't Accessing Excel Files: Verify correct file path and permissions.
  • Handling Unusual Excel Data: Script converts most data types to strings but may encounter issues with unconventional data.
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - PickledPenguin/Auto_Excel · GitHub
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56 Commits
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Excel
Excel
README.md
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auto_excel.py
auto_excel.py
config.json
config.json
requirements.txt
requirements.txt
setup.py
setup.py
Repository files navigation
Excel Automation Script
Description
This script automates data extraction from Excel files located in the Excel directory. It simulates mouse movements and keypresses based on user-defined configurations.
Project Background
Developed for the Rochester Institute of Technology's Software Engineering department, this script eliminates manual input of student employees' hours from Excel into an external website. It was designed to save hours of work every week previously spent on repetitive tasks. It is also adaptable to other tasks that rely on manually entering Excel data.
For example, I personally used this script as a Course Assistant at RIT to automate grade entry from Excel into MyCourses after updates by another assistant and professor confirmation.
Architecture Details
The script relies on a waypoint system set by the user on the screen, enabling flexibility across different websites without code redesign. Initial setup is required, and the screen must remain static during operation.
Installation Requirements
  1. Python3: Install Python3
  2. pip3: Install pip3
  3. Modules: Install dependencies listed in requirements.txt. Guide here
Configuration
  1. Open a terminal or cmd window.
  2. Navigate to the project directory.
  3. Run the setup command:
    python3 ./setup.py
  4. Configure the following options:
    • Wait Time: Set time (in seconds) between actions.
    • Datetime Format: Define datetime display format. Format codes
    • Waypoints: Define actions (e.g., click, enter) using keyboard shortcuts.
Waypoint Actions:
KeyAction
cClick
dDouble Click
tTab
eEnter
pPaste (input text)
iInsert Data (Excel input)
wWait (pause execution)
Press esc to save configurations and exit.
Execution Types
Choose between:
  • File-based: Process each Excel file in the directory.
  • Row-based: Process each row of data in each Excel file.
Running the Script
  1. Ensure Excel files are in the Excel directory.
  2. Run the script:
    python3 ./auto_excel.py
  3. Position your mouse on the target screen/window.
  4. The script will execute configured actions to input data from Excel into the website.
Common Issues
  • Non-Static Screen: Make sure the screen remains untouched and static during operation.
  • Non-Looping Configuration: Configure the script to return to the starting position after each cycle, so it can loop properly
  • Can't Accessing Excel Files: Verify correct file path and permissions.
  • Handling Unusual Excel Data: Script converts most data types to strings but may encounter issues with unconventional data.
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
})();
GitHub - PickledPenguin/Auto_Excel · GitHub
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README.md
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auto_excel.py
auto_excel.py
config.json
config.json
requirements.txt
requirements.txt
setup.py
setup.py
Repository files navigation
Excel Automation Script
Description
This script automates data extraction from Excel files located in the Excel directory. It simulates mouse movements and keypresses based on user-defined configurations.
Project Background
Developed for the Rochester Institute of Technology's Software Engineering department, this script eliminates manual input of student employees' hours from Excel into an external website. It was designed to save hours of work every week previously spent on repetitive tasks. It is also adaptable to other tasks that rely on manually entering Excel data.
For example, I personally used this script as a Course Assistant at RIT to automate grade entry from Excel into MyCourses after updates by another assistant and professor confirmation.
Architecture Details
The script relies on a waypoint system set by the user on the screen, enabling flexibility across different websites without code redesign. Initial setup is required, and the screen must remain static during operation.
Installation Requirements
  1. Python3: Install Python3
  2. pip3: Install pip3
  3. Modules: Install dependencies listed in requirements.txt. Guide here
Configuration
  1. Open a terminal or cmd window.
  2. Navigate to the project directory.
  3. Run the setup command:
    python3 ./setup.py
  4. Configure the following options:
    • Wait Time: Set time (in seconds) between actions.
    • Datetime Format: Define datetime display format. Format codes
    • Waypoints: Define actions (e.g., click, enter) using keyboard shortcuts.
Waypoint Actions:
KeyAction
cClick
dDouble Click
tTab
eEnter
pPaste (input text)
iInsert Data (Excel input)
wWait (pause execution)
Press esc to save configurations and exit.
Execution Types
Choose between:
  • File-based: Process each Excel file in the directory.
  • Row-based: Process each row of data in each Excel file.
Running the Script
  1. Ensure Excel files are in the Excel directory.
  2. Run the script:
    python3 ./auto_excel.py
  3. Position your mouse on the target screen/window.
  4. The script will execute configured actions to input data from Excel into the website.
Common Issues
  • Non-Static Screen: Make sure the screen remains untouched and static during operation.
  • Non-Looping Configuration: Configure the script to return to the starting position after each cycle, so it can loop properly
  • Can't Accessing Excel Files: Verify correct file path and permissions.
  • Handling Unusual Excel Data: Script converts most data types to strings but may encounter issues with unconventional data.
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