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Python3-API-Connector (for Python 3.7.4)

Majestic® surveys and maps the Internet and has created the largest commercial Link Intelligence database in the world. The Majestic® search engine is mainly used to instantly provide Flow Metric® scores which evaluate the quality of any page on the Internet on a scale from 0 to 100. The connector libraries are supplied to assist in using the Majestic® API and are available in a number of programming languages.

This is the Python 3 connector. For Python 2, go here.

Setup

Clone this repository in a directory.

You can import the connector from a subdirectory of your project or set it as an environment variable, making it available to all projects.

To import it without setting the environment variable, place the API connector within the project (such as in C:\project\lib\Python3-API-Connector) and import it using a relative path (such as from lib.majesticseo_external_rpc.APIService import APIService)

Setting the environment variable allows Python to find the library and import it into any project. To set the PYTHONPATH environment variable:

On Windows you can use the setx command:

setx PYTHONPATH C:\path\to\Python3

On linux use the export command instead:

export PYTHONPATH=/usr/path/to/Python3-API-Connector

You can then import the connector using:

from majesticseo_external_rpc.APIService import APIService

Examples

There are a few examples of using the API-Connector in the following scripts:

  • GetIndexItemInfo.py
    • The GetIndexItemInfo command provides data on the number of backlinks to any web page or site, linking domains and the main topics for that page or website
  • GetBackLinkData.py
    • GetBacklinkData will return rows of data with information about all the pages linking to a given URL or domain
  • OpenAppGetIndexItemInfo.py
    • This example shows how to use the API connector for a Majestic OpenApp

The following code is from GetIndexItemInfo.py and shows how the API-Connector can be used:

api_service = APIService(app_api_key, endpoint)
response = api_service.execute_command('GetIndexItemInfo', parameters)

Further notes

The Python Connector has been developed using Python 3.7.4. To run the examples

  • Have python 3+ installed
  • Run the script in terminal using one of the following commands (this will depend on your particular Python installation):
    • python somefile.py
    • python3 somefile.py
    • py somefile.py

For further information see the API documentation @ https://developer-support.majestic.com/

About

The Python Connector has been developed using Python 3.7.4.

Resources

Readme
License
Activity
Custom properties

Stars

3 stars

Watchers

2 watching

Forks

1 fork
Report repository

Releases

Packages

Contributors

Languages

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GitHub - majestic/Python3-API-Connector: The Python Connector has been developed using Python 3.7.4. · GitHub
Skip to content
BranchesTags
Repository files navigation
Python3-API-Connector (for Python 3.7.4)
Majestic® surveys and maps the Internet and has created the largest commercial Link Intelligence database in the world. The Majestic® search engine is mainly used to instantly provide Flow Metric® scores which evaluate the quality of any page on the Internet on a scale from 0 to 100. The connector libraries are supplied to assist in using the Majestic® API and are available in a number of programming languages.
This is the Python 3 connector. For Python 2, go here.
Setup
Clone this repository in a directory.
You can import the connector from a subdirectory of your project or set it as an environment variable, making it available to all projects.
To import it without setting the environment variable, place the API connector within the project (such as in C:\project\lib\Python3-API-Connector) and import it using a relative path (such as from lib.majesticseo_external_rpc.APIService import APIService)
Setting the environment variable allows Python to find the library and import it into any project. To set the PYTHONPATH environment variable:
On Windows you can use the setx command:
setx PYTHONPATH C:\path\to\Python3

On linux use the export command instead:
export PYTHONPATH=/usr/path/to/Python3-API-Connector

You can then import the connector using:
from majesticseo_external_rpc.APIService import APIService

Examples
There are a few examples of using the API-Connector in the following scripts:
  • GetIndexItemInfo.py

    • The GetIndexItemInfo command provides data on the number of backlinks to any web page or site, linking domains and the main topics for that page or website
  • GetBackLinkData.py

    • GetBacklinkData will return rows of data with information about all the pages linking to a given URL or domain
  • OpenAppGetIndexItemInfo.py

    • This example shows how to use the API connector for a Majestic OpenApp
The following code is from GetIndexItemInfo.py and shows how the API-Connector can be used:
api_service = APIService(app_api_key, endpoint)
response = api_service.execute_command('GetIndexItemInfo', parameters)

Further notes
The Python Connector has been developed using Python 3.7.4.
To run the examples
  • Have python 3+ installed
  • Run the script in terminal using one of the following commands (this will depend on your particular Python installation):

    • python somefile.py
    • python3 somefile.py
    • py somefile.py
For further information see the API documentation @ https://developer-support.majestic.com/
About
The Python Connector has been developed using Python 3.7.4.
Resources
Readme
License
Activity
Custom properties
Stars
3 stars
Watchers
2 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
Languages

, 'i');
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - majestic/Python3-API-Connector: The Python Connector has been developed using Python 3.7.4. · GitHub
Skip to content
BranchesTags
Repository files navigation
Python3-API-Connector (for Python 3.7.4)
Majestic® surveys and maps the Internet and has created the largest commercial Link Intelligence database in the world. The Majestic® search engine is mainly used to instantly provide Flow Metric® scores which evaluate the quality of any page on the Internet on a scale from 0 to 100. The connector libraries are supplied to assist in using the Majestic® API and are available in a number of programming languages.
This is the Python 3 connector. For Python 2, go here.
Setup
Clone this repository in a directory.
You can import the connector from a subdirectory of your project or set it as an environment variable, making it available to all projects.
To import it without setting the environment variable, place the API connector within the project (such as in C:\project\lib\Python3-API-Connector) and import it using a relative path (such as from lib.majesticseo_external_rpc.APIService import APIService)
Setting the environment variable allows Python to find the library and import it into any project. To set the PYTHONPATH environment variable:
On Windows you can use the setx command:
setx PYTHONPATH C:\path\to\Python3

On linux use the export command instead:
export PYTHONPATH=/usr/path/to/Python3-API-Connector

You can then import the connector using:
from majesticseo_external_rpc.APIService import APIService

Examples
There are a few examples of using the API-Connector in the following scripts:
  • GetIndexItemInfo.py

    • The GetIndexItemInfo command provides data on the number of backlinks to any web page or site, linking domains and the main topics for that page or website
  • GetBackLinkData.py

    • GetBacklinkData will return rows of data with information about all the pages linking to a given URL or domain
  • OpenAppGetIndexItemInfo.py

    • This example shows how to use the API connector for a Majestic OpenApp
The following code is from GetIndexItemInfo.py and shows how the API-Connector can be used:
api_service = APIService(app_api_key, endpoint)
response = api_service.execute_command('GetIndexItemInfo', parameters)

Further notes
The Python Connector has been developed using Python 3.7.4.
To run the examples
  • Have python 3+ installed
  • Run the script in terminal using one of the following commands (this will depend on your particular Python installation):

    • python somefile.py
    • python3 somefile.py
    • py somefile.py
For further information see the API documentation @ https://developer-support.majestic.com/
About
The Python Connector has been developed using Python 3.7.4.
Resources
Readme
License
Activity
Custom properties
Stars
3 stars
Watchers
2 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
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var ref = document.referrer;
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - majestic/Python3-API-Connector: The Python Connector has been developed using Python 3.7.4. · GitHub
Skip to content
BranchesTags
Repository files navigation
Python3-API-Connector (for Python 3.7.4)
Majestic® surveys and maps the Internet and has created the largest commercial Link Intelligence database in the world. The Majestic® search engine is mainly used to instantly provide Flow Metric® scores which evaluate the quality of any page on the Internet on a scale from 0 to 100. The connector libraries are supplied to assist in using the Majestic® API and are available in a number of programming languages.
This is the Python 3 connector. For Python 2, go here.
Setup
Clone this repository in a directory.
You can import the connector from a subdirectory of your project or set it as an environment variable, making it available to all projects.
To import it without setting the environment variable, place the API connector within the project (such as in C:\project\lib\Python3-API-Connector) and import it using a relative path (such as from lib.majesticseo_external_rpc.APIService import APIService)
Setting the environment variable allows Python to find the library and import it into any project. To set the PYTHONPATH environment variable:
On Windows you can use the setx command:
setx PYTHONPATH C:\path\to\Python3

On linux use the export command instead:
export PYTHONPATH=/usr/path/to/Python3-API-Connector

You can then import the connector using:
from majesticseo_external_rpc.APIService import APIService

Examples
There are a few examples of using the API-Connector in the following scripts:
  • GetIndexItemInfo.py

    • The GetIndexItemInfo command provides data on the number of backlinks to any web page or site, linking domains and the main topics for that page or website
  • GetBackLinkData.py

    • GetBacklinkData will return rows of data with information about all the pages linking to a given URL or domain
  • OpenAppGetIndexItemInfo.py

    • This example shows how to use the API connector for a Majestic OpenApp
The following code is from GetIndexItemInfo.py and shows how the API-Connector can be used:
api_service = APIService(app_api_key, endpoint)
response = api_service.execute_command('GetIndexItemInfo', parameters)

Further notes
The Python Connector has been developed using Python 3.7.4.
To run the examples
  • Have python 3+ installed
  • Run the script in terminal using one of the following commands (this will depend on your particular Python installation):

    • python somefile.py
    • python3 somefile.py
    • py somefile.py
For further information see the API documentation @ https://developer-support.majestic.com/
About
The Python Connector has been developed using Python 3.7.4.
Resources
Readme
License
Activity
Custom properties
Stars
3 stars
Watchers
2 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
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var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
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} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - majestic/Python3-API-Connector: The Python Connector has been developed using Python 3.7.4. · GitHub
Skip to content
BranchesTags
Repository files navigation
Python3-API-Connector (for Python 3.7.4)
Majestic® surveys and maps the Internet and has created the largest commercial Link Intelligence database in the world. The Majestic® search engine is mainly used to instantly provide Flow Metric® scores which evaluate the quality of any page on the Internet on a scale from 0 to 100. The connector libraries are supplied to assist in using the Majestic® API and are available in a number of programming languages.
This is the Python 3 connector. For Python 2, go here.
Setup
Clone this repository in a directory.
You can import the connector from a subdirectory of your project or set it as an environment variable, making it available to all projects.
To import it without setting the environment variable, place the API connector within the project (such as in C:\project\lib\Python3-API-Connector) and import it using a relative path (such as from lib.majesticseo_external_rpc.APIService import APIService)
Setting the environment variable allows Python to find the library and import it into any project. To set the PYTHONPATH environment variable:
On Windows you can use the setx command:
setx PYTHONPATH C:\path\to\Python3

On linux use the export command instead:
export PYTHONPATH=/usr/path/to/Python3-API-Connector

You can then import the connector using:
from majesticseo_external_rpc.APIService import APIService

Examples
There are a few examples of using the API-Connector in the following scripts:
  • GetIndexItemInfo.py

    • The GetIndexItemInfo command provides data on the number of backlinks to any web page or site, linking domains and the main topics for that page or website
  • GetBackLinkData.py

    • GetBacklinkData will return rows of data with information about all the pages linking to a given URL or domain
  • OpenAppGetIndexItemInfo.py

    • This example shows how to use the API connector for a Majestic OpenApp
The following code is from GetIndexItemInfo.py and shows how the API-Connector can be used:
api_service = APIService(app_api_key, endpoint)
response = api_service.execute_command('GetIndexItemInfo', parameters)

Further notes
The Python Connector has been developed using Python 3.7.4.
To run the examples
  • Have python 3+ installed
  • Run the script in terminal using one of the following commands (this will depend on your particular Python installation):

    • python somefile.py
    • python3 somefile.py
    • py somefile.py
For further information see the API documentation @ https://developer-support.majestic.com/
About
The Python Connector has been developed using Python 3.7.4.
Resources
Readme
License
Activity
Custom properties
Stars
3 stars
Watchers
2 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
Languages

, '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')) {
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}
// Try immediately
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} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - majestic/Python3-API-Connector: The Python Connector has been developed using Python 3.7.4. · GitHub
Skip to content
BranchesTags
Repository files navigation
Python3-API-Connector (for Python 3.7.4)
Majestic® surveys and maps the Internet and has created the largest commercial Link Intelligence database in the world. The Majestic® search engine is mainly used to instantly provide Flow Metric® scores which evaluate the quality of any page on the Internet on a scale from 0 to 100. The connector libraries are supplied to assist in using the Majestic® API and are available in a number of programming languages.
This is the Python 3 connector. For Python 2, go here.
Setup
Clone this repository in a directory.
You can import the connector from a subdirectory of your project or set it as an environment variable, making it available to all projects.
To import it without setting the environment variable, place the API connector within the project (such as in C:\project\lib\Python3-API-Connector) and import it using a relative path (such as from lib.majesticseo_external_rpc.APIService import APIService)
Setting the environment variable allows Python to find the library and import it into any project. To set the PYTHONPATH environment variable:
On Windows you can use the setx command:
setx PYTHONPATH C:\path\to\Python3

On linux use the export command instead:
export PYTHONPATH=/usr/path/to/Python3-API-Connector

You can then import the connector using:
from majesticseo_external_rpc.APIService import APIService

Examples
There are a few examples of using the API-Connector in the following scripts:
  • GetIndexItemInfo.py

    • The GetIndexItemInfo command provides data on the number of backlinks to any web page or site, linking domains and the main topics for that page or website
  • GetBackLinkData.py

    • GetBacklinkData will return rows of data with information about all the pages linking to a given URL or domain
  • OpenAppGetIndexItemInfo.py

    • This example shows how to use the API connector for a Majestic OpenApp
The following code is from GetIndexItemInfo.py and shows how the API-Connector can be used:
api_service = APIService(app_api_key, endpoint)
response = api_service.execute_command('GetIndexItemInfo', parameters)

Further notes
The Python Connector has been developed using Python 3.7.4.
To run the examples
  • Have python 3+ installed
  • Run the script in terminal using one of the following commands (this will depend on your particular Python installation):

    • python somefile.py
    • python3 somefile.py
    • py somefile.py
For further information see the API documentation @ https://developer-support.majestic.com/
About
The Python Connector has been developed using Python 3.7.4.
Resources
Readme
License
Activity
Custom properties
Stars
3 stars
Watchers
2 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
Languages

, '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';
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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); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - majestic/Python3-API-Connector: The Python Connector has been developed using Python 3.7.4. · GitHub
Skip to content
BranchesTags
Repository files navigation
Python3-API-Connector (for Python 3.7.4)
Majestic® surveys and maps the Internet and has created the largest commercial Link Intelligence database in the world. The Majestic® search engine is mainly used to instantly provide Flow Metric® scores which evaluate the quality of any page on the Internet on a scale from 0 to 100. The connector libraries are supplied to assist in using the Majestic® API and are available in a number of programming languages.
This is the Python 3 connector. For Python 2, go here.
Setup
Clone this repository in a directory.
You can import the connector from a subdirectory of your project or set it as an environment variable, making it available to all projects.
To import it without setting the environment variable, place the API connector within the project (such as in C:\project\lib\Python3-API-Connector) and import it using a relative path (such as from lib.majesticseo_external_rpc.APIService import APIService)
Setting the environment variable allows Python to find the library and import it into any project. To set the PYTHONPATH environment variable:
On Windows you can use the setx command:
setx PYTHONPATH C:\path\to\Python3

On linux use the export command instead:
export PYTHONPATH=/usr/path/to/Python3-API-Connector

You can then import the connector using:
from majesticseo_external_rpc.APIService import APIService

Examples
There are a few examples of using the API-Connector in the following scripts:
  • GetIndexItemInfo.py

    • The GetIndexItemInfo command provides data on the number of backlinks to any web page or site, linking domains and the main topics for that page or website
  • GetBackLinkData.py

    • GetBacklinkData will return rows of data with information about all the pages linking to a given URL or domain
  • OpenAppGetIndexItemInfo.py

    • This example shows how to use the API connector for a Majestic OpenApp
The following code is from GetIndexItemInfo.py and shows how the API-Connector can be used:
api_service = APIService(app_api_key, endpoint)
response = api_service.execute_command('GetIndexItemInfo', parameters)

Further notes
The Python Connector has been developed using Python 3.7.4.
To run the examples
  • Have python 3+ installed
  • Run the script in terminal using one of the following commands (this will depend on your particular Python installation):

    • python somefile.py
    • python3 somefile.py
    • py somefile.py
For further information see the API documentation @ https://developer-support.majestic.com/
About
The Python Connector has been developed using Python 3.7.4.
Resources
Readme
License
Activity
Custom properties
Stars
3 stars
Watchers
2 watching
Forks
1 fork
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
GitHub - majestic/Python3-API-Connector: The Python Connector has been developed using Python 3.7.4. · GitHub
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Python3-API-Connector (for Python 3.7.4)
Majestic® surveys and maps the Internet and has created the largest commercial Link Intelligence database in the world. The Majestic® search engine is mainly used to instantly provide Flow Metric® scores which evaluate the quality of any page on the Internet on a scale from 0 to 100. The connector libraries are supplied to assist in using the Majestic® API and are available in a number of programming languages.
This is the Python 3 connector. For Python 2, go here.
Setup
Clone this repository in a directory.
You can import the connector from a subdirectory of your project or set it as an environment variable, making it available to all projects.
To import it without setting the environment variable, place the API connector within the project (such as in C:\project\lib\Python3-API-Connector) and import it using a relative path (such as from lib.majesticseo_external_rpc.APIService import APIService)
Setting the environment variable allows Python to find the library and import it into any project. To set the PYTHONPATH environment variable:
On Windows you can use the setx command:
setx PYTHONPATH C:\path\to\Python3

On linux use the export command instead:
export PYTHONPATH=/usr/path/to/Python3-API-Connector

You can then import the connector using:
from majesticseo_external_rpc.APIService import APIService

Examples
There are a few examples of using the API-Connector in the following scripts:
  • GetIndexItemInfo.py

    • The GetIndexItemInfo command provides data on the number of backlinks to any web page or site, linking domains and the main topics for that page or website
  • GetBackLinkData.py

    • GetBacklinkData will return rows of data with information about all the pages linking to a given URL or domain
  • OpenAppGetIndexItemInfo.py

    • This example shows how to use the API connector for a Majestic OpenApp
The following code is from GetIndexItemInfo.py and shows how the API-Connector can be used:
api_service = APIService(app_api_key, endpoint)
response = api_service.execute_command('GetIndexItemInfo', parameters)

Further notes
The Python Connector has been developed using Python 3.7.4.
To run the examples
  • Have python 3+ installed
  • Run the script in terminal using one of the following commands (this will depend on your particular Python installation):

    • python somefile.py
    • python3 somefile.py
    • py somefile.py
For further information see the API documentation @ https://developer-support.majestic.com/
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The Python Connector has been developed using Python 3.7.4.
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