Repository files navigation

Data Collector

This web application is designed to collect data for LLM training, it periodically collects data from third party data sources and provides an API to annotate and access them.

Prerequisites

  • Node.js 17 or higher
  • MongoDB database
  • npm package manager

Configuration

Required Configuration Files

The application requires specific configuration files in the config folder:

config/ ├── RapidAPI/ │ ├── keylist.json │ └── jobtypelist.json └── (other config files as needed)

config/RapidAPI/keylist.json Array of API keys for RapidAPI services:

config/RapidAPI/jobtypelist.json Array of job types to search for:

config/collector_run_config.json Optional config file to enable/disable collector processes at runtime:

This file will be reloaded at the beginning of each run.

Example:
{
"RapidAPICollectorProcess": false,
"JSearchCollectorProcess": true,
"AdzunaCollectorProcess": false
}

Environment Variables

Create a .env file in the root directory with the following variables:

required

## mongo db config
DB_USER= mongodb username
DB_PASSWORD= mongodb password
DB_URI= mongodb url (...mongodb.net)
DB_NAME= collection name
## jwt config
SERVER_SECRET_KEY= jwt encryption key
SERVER_SESSION_DURATION= jwt session duration default 3h
## rapid api config
RAPID_API_API_HOST= rapid api host
RAPID_API_API_URL= rapid api url
RAPID_API_KEYS_FILENAME=./config/RapidAPI/keylist.json
RAPID_API_JOBTYPES_FILENAME=./config/RapidAPI/jobtypelist.json
RAPID_API_API_KEY=****

optional

 API_LOCATION= default Italia
API_LANGUAGE= default it_IT
REQUEST_LIMIT= default 3
SERVER_SESSION_DURATION= default 3h
## retry with delay config
MAX_RETRIES= default 5
ERROR_WINDOW= default 60000ms
DELAY_BETWEEN_REQUESTS= default 1000ms
# collector process registry config
COLLECTOR_RUN_CONFIG_PATH=./config/collectors_run_config.json
## log
LOG_LEVEL= default info
## retry with delay
MAX_RETRIES= default 5
ERROR_WINDOW= default 3000ms 

Installation

  1. Clone the repository

  2. Install dependencies:

    npm install
  3. Create the required configuration directory structure:

    mkdir -p config/RapidAPI
  4. Create configuration files:

    • config/RapidAPI/keylist.json - Add your RapidAPI keys
    • config/RapidAPI/jobtypelist.json - Add job types to collect
  5. Create .env file with required environment variables (see configuration section above)

Usage

Method 1: npm script

npm run start

Method 2: Direct node execution

node index 

Method 3: PM2 process manager

pm2 start index.js --name data-collector pm2 save pm2 logs data-collector pm2 stop data-collector

About

This web application is designed to collect data for LLM training, it periodically collects data from third party data sources and provides an API to annotate and access them.

Topics

Resources

Stars

3 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n 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;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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Repository files navigation

Data Collector

This web application is designed to collect data for LLM training, it periodically collects data from third party data sources and provides an API to annotate and access them.

Prerequisites

  • Node.js 17 or higher
  • MongoDB database
  • npm package manager

Configuration

Required Configuration Files

The application requires specific configuration files in the config folder:

config/ ├── RapidAPI/ │ ├── keylist.json │ └── jobtypelist.json └── (other config files as needed)

config/RapidAPI/keylist.json Array of API keys for RapidAPI services:

config/RapidAPI/jobtypelist.json Array of job types to search for:

config/collector_run_config.json Optional config file to enable/disable collector processes at runtime:

This file will be reloaded at the beginning of each run.

Example:
{
"RapidAPICollectorProcess": false,
"JSearchCollectorProcess": true,
"AdzunaCollectorProcess": false
}

Environment Variables

Create a .env file in the root directory with the following variables:

required

## mongo db config
DB_USER= mongodb username
DB_PASSWORD= mongodb password
DB_URI= mongodb url (...mongodb.net)
DB_NAME= collection name
## jwt config
SERVER_SECRET_KEY= jwt encryption key
SERVER_SESSION_DURATION= jwt session duration default 3h
## rapid api config
RAPID_API_API_HOST= rapid api host
RAPID_API_API_URL= rapid api url
RAPID_API_KEYS_FILENAME=./config/RapidAPI/keylist.json
RAPID_API_JOBTYPES_FILENAME=./config/RapidAPI/jobtypelist.json
RAPID_API_API_KEY=****

optional

 API_LOCATION= default Italia
API_LANGUAGE= default it_IT
REQUEST_LIMIT= default 3
SERVER_SESSION_DURATION= default 3h
## retry with delay config
MAX_RETRIES= default 5
ERROR_WINDOW= default 60000ms
DELAY_BETWEEN_REQUESTS= default 1000ms
# collector process registry config
COLLECTOR_RUN_CONFIG_PATH=./config/collectors_run_config.json
## log
LOG_LEVEL= default info
## retry with delay
MAX_RETRIES= default 5
ERROR_WINDOW= default 3000ms 

Installation

  1. Clone the repository

  2. Install dependencies:

    npm install
  3. Create the required configuration directory structure:

    mkdir -p config/RapidAPI
  4. Create configuration files:

    • config/RapidAPI/keylist.json - Add your RapidAPI keys
    • config/RapidAPI/jobtypelist.json - Add job types to collect
  5. Create .env file with required environment variables (see configuration section above)

Usage

Method 1: npm script

npm run start

Method 2: Direct node execution

node index 

Method 3: PM2 process manager

pm2 start index.js --name data-collector pm2 save pm2 logs data-collector pm2 stop data-collector

About

This web application is designed to collect data for LLM training, it periodically collects data from third party data sources and provides an API to annotate and access them.

Topics

Resources

Stars

3 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

Data Collector

This web application is designed to collect data for LLM training, it periodically collects data from third party data sources and provides an API to annotate and access them.

Prerequisites

  • Node.js 17 or higher
  • MongoDB database
  • npm package manager

Configuration

Required Configuration Files

The application requires specific configuration files in the config folder:

config/ ├── RapidAPI/ │ ├── keylist.json │ └── jobtypelist.json └── (other config files as needed)

config/RapidAPI/keylist.json Array of API keys for RapidAPI services:

config/RapidAPI/jobtypelist.json Array of job types to search for:

config/collector_run_config.json Optional config file to enable/disable collector processes at runtime:

This file will be reloaded at the beginning of each run.

Example:
{
"RapidAPICollectorProcess": false,
"JSearchCollectorProcess": true,
"AdzunaCollectorProcess": false
}

Environment Variables

Create a .env file in the root directory with the following variables:

required

## mongo db config
DB_USER= mongodb username
DB_PASSWORD= mongodb password
DB_URI= mongodb url (...mongodb.net)
DB_NAME= collection name
## jwt config
SERVER_SECRET_KEY= jwt encryption key
SERVER_SESSION_DURATION= jwt session duration default 3h
## rapid api config
RAPID_API_API_HOST= rapid api host
RAPID_API_API_URL= rapid api url
RAPID_API_KEYS_FILENAME=./config/RapidAPI/keylist.json
RAPID_API_JOBTYPES_FILENAME=./config/RapidAPI/jobtypelist.json
RAPID_API_API_KEY=****

optional

 API_LOCATION= default Italia
API_LANGUAGE= default it_IT
REQUEST_LIMIT= default 3
SERVER_SESSION_DURATION= default 3h
## retry with delay config
MAX_RETRIES= default 5
ERROR_WINDOW= default 60000ms
DELAY_BETWEEN_REQUESTS= default 1000ms
# collector process registry config
COLLECTOR_RUN_CONFIG_PATH=./config/collectors_run_config.json
## log
LOG_LEVEL= default info
## retry with delay
MAX_RETRIES= default 5
ERROR_WINDOW= default 3000ms 

Installation

  1. Clone the repository

  2. Install dependencies:

    npm install
  3. Create the required configuration directory structure:

    mkdir -p config/RapidAPI
  4. Create configuration files:

    • config/RapidAPI/keylist.json - Add your RapidAPI keys
    • config/RapidAPI/jobtypelist.json - Add job types to collect
  5. Create .env file with required environment variables (see configuration section above)

Usage

Method 1: npm script

npm run start

Method 2: Direct node execution

node index 

Method 3: PM2 process manager

pm2 start index.js --name data-collector pm2 save pm2 logs data-collector pm2 stop data-collector

About

This web application is designed to collect data for LLM training, it periodically collects data from third party data sources and provides an API to annotate and access them.

Topics

Resources

Stars

3 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

Data Collector

This web application is designed to collect data for LLM training, it periodically collects data from third party data sources and provides an API to annotate and access them.

Prerequisites

  • Node.js 17 or higher
  • MongoDB database
  • npm package manager

Configuration

Required Configuration Files

The application requires specific configuration files in the config folder:

config/ ├── RapidAPI/ │ ├── keylist.json │ └── jobtypelist.json └── (other config files as needed)

config/RapidAPI/keylist.json Array of API keys for RapidAPI services:

config/RapidAPI/jobtypelist.json Array of job types to search for:

config/collector_run_config.json Optional config file to enable/disable collector processes at runtime:

This file will be reloaded at the beginning of each run.

Example:
{
"RapidAPICollectorProcess": false,
"JSearchCollectorProcess": true,
"AdzunaCollectorProcess": false
}

Environment Variables

Create a .env file in the root directory with the following variables:

required

## mongo db config
DB_USER= mongodb username
DB_PASSWORD= mongodb password
DB_URI= mongodb url (...mongodb.net)
DB_NAME= collection name
## jwt config
SERVER_SECRET_KEY= jwt encryption key
SERVER_SESSION_DURATION= jwt session duration default 3h
## rapid api config
RAPID_API_API_HOST= rapid api host
RAPID_API_API_URL= rapid api url
RAPID_API_KEYS_FILENAME=./config/RapidAPI/keylist.json
RAPID_API_JOBTYPES_FILENAME=./config/RapidAPI/jobtypelist.json
RAPID_API_API_KEY=****

optional

 API_LOCATION= default Italia
API_LANGUAGE= default it_IT
REQUEST_LIMIT= default 3
SERVER_SESSION_DURATION= default 3h
## retry with delay config
MAX_RETRIES= default 5
ERROR_WINDOW= default 60000ms
DELAY_BETWEEN_REQUESTS= default 1000ms
# collector process registry config
COLLECTOR_RUN_CONFIG_PATH=./config/collectors_run_config.json
## log
LOG_LEVEL= default info
## retry with delay
MAX_RETRIES= default 5
ERROR_WINDOW= default 3000ms 

Installation

  1. Clone the repository

  2. Install dependencies:

    npm install
  3. Create the required configuration directory structure:

    mkdir -p config/RapidAPI
  4. Create configuration files:

    • config/RapidAPI/keylist.json - Add your RapidAPI keys
    • config/RapidAPI/jobtypelist.json - Add job types to collect
  5. Create .env file with required environment variables (see configuration section above)

Usage

Method 1: npm script

npm run start

Method 2: Direct node execution

node index 

Method 3: PM2 process manager

pm2 start index.js --name data-collector pm2 save pm2 logs data-collector pm2 stop data-collector

About

This web application is designed to collect data for LLM training, it periodically collects data from third party data sources and provides an API to annotate and access them.

Topics

Resources

Stars

3 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Repository files navigation

Data Collector

This web application is designed to collect data for LLM training, it periodically collects data from third party data sources and provides an API to annotate and access them.

Prerequisites

  • Node.js 17 or higher
  • MongoDB database
  • npm package manager

Configuration

Required Configuration Files

The application requires specific configuration files in the config folder:

config/ ├── RapidAPI/ │ ├── keylist.json │ └── jobtypelist.json └── (other config files as needed)

config/RapidAPI/keylist.json Array of API keys for RapidAPI services:

config/RapidAPI/jobtypelist.json Array of job types to search for:

config/collector_run_config.json Optional config file to enable/disable collector processes at runtime:

This file will be reloaded at the beginning of each run.

Example:
{
"RapidAPICollectorProcess": false,
"JSearchCollectorProcess": true,
"AdzunaCollectorProcess": false
}

Environment Variables

Create a .env file in the root directory with the following variables:

required

## mongo db config
DB_USER= mongodb username
DB_PASSWORD= mongodb password
DB_URI= mongodb url (...mongodb.net)
DB_NAME= collection name
## jwt config
SERVER_SECRET_KEY= jwt encryption key
SERVER_SESSION_DURATION= jwt session duration default 3h
## rapid api config
RAPID_API_API_HOST= rapid api host
RAPID_API_API_URL= rapid api url
RAPID_API_KEYS_FILENAME=./config/RapidAPI/keylist.json
RAPID_API_JOBTYPES_FILENAME=./config/RapidAPI/jobtypelist.json
RAPID_API_API_KEY=****

optional

 API_LOCATION= default Italia
API_LANGUAGE= default it_IT
REQUEST_LIMIT= default 3
SERVER_SESSION_DURATION= default 3h
## retry with delay config
MAX_RETRIES= default 5
ERROR_WINDOW= default 60000ms
DELAY_BETWEEN_REQUESTS= default 1000ms
# collector process registry config
COLLECTOR_RUN_CONFIG_PATH=./config/collectors_run_config.json
## log
LOG_LEVEL= default info
## retry with delay
MAX_RETRIES= default 5
ERROR_WINDOW= default 3000ms 

Installation

  1. Clone the repository

  2. Install dependencies:

    npm install
  3. Create the required configuration directory structure:

    mkdir -p config/RapidAPI
  4. Create configuration files:

    • config/RapidAPI/keylist.json - Add your RapidAPI keys
    • config/RapidAPI/jobtypelist.json - Add job types to collect
  5. Create .env file with required environment variables (see configuration section above)

Usage

Method 1: npm script

npm run start

Method 2: Direct node execution

node index 

Method 3: PM2 process manager

pm2 start index.js --name data-collector pm2 save pm2 logs data-collector pm2 stop data-collector

About

This web application is designed to collect data for LLM training, it periodically collects data from third party data sources and provides an API to annotate and access them.

Topics

Resources

Stars

3 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

Data Collector

This web application is designed to collect data for LLM training, it periodically collects data from third party data sources and provides an API to annotate and access them.

Prerequisites

  • Node.js 17 or higher
  • MongoDB database
  • npm package manager

Configuration

Required Configuration Files

The application requires specific configuration files in the config folder:

config/ ├── RapidAPI/ │ ├── keylist.json │ └── jobtypelist.json └── (other config files as needed)

config/RapidAPI/keylist.json Array of API keys for RapidAPI services:

config/RapidAPI/jobtypelist.json Array of job types to search for:

config/collector_run_config.json Optional config file to enable/disable collector processes at runtime:

This file will be reloaded at the beginning of each run.

Example:
{
"RapidAPICollectorProcess": false,
"JSearchCollectorProcess": true,
"AdzunaCollectorProcess": false
}

Environment Variables

Create a .env file in the root directory with the following variables:

required

## mongo db config
DB_USER= mongodb username
DB_PASSWORD= mongodb password
DB_URI= mongodb url (...mongodb.net)
DB_NAME= collection name
## jwt config
SERVER_SECRET_KEY= jwt encryption key
SERVER_SESSION_DURATION= jwt session duration default 3h
## rapid api config
RAPID_API_API_HOST= rapid api host
RAPID_API_API_URL= rapid api url
RAPID_API_KEYS_FILENAME=./config/RapidAPI/keylist.json
RAPID_API_JOBTYPES_FILENAME=./config/RapidAPI/jobtypelist.json
RAPID_API_API_KEY=****

optional

 API_LOCATION= default Italia
API_LANGUAGE= default it_IT
REQUEST_LIMIT= default 3
SERVER_SESSION_DURATION= default 3h
## retry with delay config
MAX_RETRIES= default 5
ERROR_WINDOW= default 60000ms
DELAY_BETWEEN_REQUESTS= default 1000ms
# collector process registry config
COLLECTOR_RUN_CONFIG_PATH=./config/collectors_run_config.json
## log
LOG_LEVEL= default info
## retry with delay
MAX_RETRIES= default 5
ERROR_WINDOW= default 3000ms 

Installation

  1. Clone the repository

  2. Install dependencies:

    npm install
  3. Create the required configuration directory structure:

    mkdir -p config/RapidAPI
  4. Create configuration files:

    • config/RapidAPI/keylist.json - Add your RapidAPI keys
    • config/RapidAPI/jobtypelist.json - Add job types to collect
  5. Create .env file with required environment variables (see configuration section above)

Usage

Method 1: npm script

npm run start

Method 2: Direct node execution

node index 

Method 3: PM2 process manager

pm2 start index.js --name data-collector pm2 save pm2 logs data-collector pm2 stop data-collector

About

This web application is designed to collect data for LLM training, it periodically collects data from third party data sources and provides an API to annotate and access them.

Topics

Resources

Stars

3 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

Data Collector

This web application is designed to collect data for LLM training, it periodically collects data from third party data sources and provides an API to annotate and access them.

Prerequisites

  • Node.js 17 or higher
  • MongoDB database
  • npm package manager

Configuration

Required Configuration Files

The application requires specific configuration files in the config folder:

config/ ├── RapidAPI/ │ ├── keylist.json │ └── jobtypelist.json └── (other config files as needed)

config/RapidAPI/keylist.json Array of API keys for RapidAPI services:

config/RapidAPI/jobtypelist.json Array of job types to search for:

config/collector_run_config.json Optional config file to enable/disable collector processes at runtime:

This file will be reloaded at the beginning of each run.

Example:
{
"RapidAPICollectorProcess": false,
"JSearchCollectorProcess": true,
"AdzunaCollectorProcess": false
}

Environment Variables

Create a .env file in the root directory with the following variables:

required

## mongo db config
DB_USER= mongodb username
DB_PASSWORD= mongodb password
DB_URI= mongodb url (...mongodb.net)
DB_NAME= collection name
## jwt config
SERVER_SECRET_KEY= jwt encryption key
SERVER_SESSION_DURATION= jwt session duration default 3h
## rapid api config
RAPID_API_API_HOST= rapid api host
RAPID_API_API_URL= rapid api url
RAPID_API_KEYS_FILENAME=./config/RapidAPI/keylist.json
RAPID_API_JOBTYPES_FILENAME=./config/RapidAPI/jobtypelist.json
RAPID_API_API_KEY=****

optional

 API_LOCATION= default Italia
API_LANGUAGE= default it_IT
REQUEST_LIMIT= default 3
SERVER_SESSION_DURATION= default 3h
## retry with delay config
MAX_RETRIES= default 5
ERROR_WINDOW= default 60000ms
DELAY_BETWEEN_REQUESTS= default 1000ms
# collector process registry config
COLLECTOR_RUN_CONFIG_PATH=./config/collectors_run_config.json
## log
LOG_LEVEL= default info
## retry with delay
MAX_RETRIES= default 5
ERROR_WINDOW= default 3000ms 

Installation

  1. Clone the repository

  2. Install dependencies:

    npm install
  3. Create the required configuration directory structure:

    mkdir -p config/RapidAPI
  4. Create configuration files:

    • config/RapidAPI/keylist.json - Add your RapidAPI keys
    • config/RapidAPI/jobtypelist.json - Add job types to collect
  5. Create .env file with required environment variables (see configuration section above)

Usage

Method 1: npm script

npm run start

Method 2: Direct node execution

node index 

Method 3: PM2 process manager

pm2 start index.js --name data-collector pm2 save pm2 logs data-collector pm2 stop data-collector

About

This web application is designed to collect data for LLM training, it periodically collects data from third party data sources and provides an API to annotate and access them.

Topics

Resources

Stars

3 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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Data Collector

This web application is designed to collect data for LLM training, it periodically collects data from third party data sources and provides an API to annotate and access them.

Prerequisites

  • Node.js 17 or higher
  • MongoDB database
  • npm package manager

Configuration

Required Configuration Files

The application requires specific configuration files in the config folder:

config/ ├── RapidAPI/ │ ├── keylist.json │ └── jobtypelist.json └── (other config files as needed)

config/RapidAPI/keylist.json Array of API keys for RapidAPI services:

config/RapidAPI/jobtypelist.json Array of job types to search for:

config/collector_run_config.json Optional config file to enable/disable collector processes at runtime:

This file will be reloaded at the beginning of each run.

Example:
{
"RapidAPICollectorProcess": false,
"JSearchCollectorProcess": true,
"AdzunaCollectorProcess": false
}

Environment Variables

Create a .env file in the root directory with the following variables:

required

## mongo db config
DB_USER= mongodb username
DB_PASSWORD= mongodb password
DB_URI= mongodb url (...mongodb.net)
DB_NAME= collection name
## jwt config
SERVER_SECRET_KEY= jwt encryption key
SERVER_SESSION_DURATION= jwt session duration default 3h
## rapid api config
RAPID_API_API_HOST= rapid api host
RAPID_API_API_URL= rapid api url
RAPID_API_KEYS_FILENAME=./config/RapidAPI/keylist.json
RAPID_API_JOBTYPES_FILENAME=./config/RapidAPI/jobtypelist.json
RAPID_API_API_KEY=****

optional

 API_LOCATION= default Italia
API_LANGUAGE= default it_IT
REQUEST_LIMIT= default 3
SERVER_SESSION_DURATION= default 3h
## retry with delay config
MAX_RETRIES= default 5
ERROR_WINDOW= default 60000ms
DELAY_BETWEEN_REQUESTS= default 1000ms
# collector process registry config
COLLECTOR_RUN_CONFIG_PATH=./config/collectors_run_config.json
## log
LOG_LEVEL= default info
## retry with delay
MAX_RETRIES= default 5
ERROR_WINDOW= default 3000ms 

Installation

  1. Clone the repository

  2. Install dependencies:

    npm install
  3. Create the required configuration directory structure:

    mkdir -p config/RapidAPI
  4. Create configuration files:

    • config/RapidAPI/keylist.json - Add your RapidAPI keys
    • config/RapidAPI/jobtypelist.json - Add job types to collect
  5. Create .env file with required environment variables (see configuration section above)

Usage

Method 1: npm script

npm run start

Method 2: Direct node execution

node index 

Method 3: PM2 process manager

pm2 start index.js --name data-collector pm2 save pm2 logs data-collector pm2 stop data-collector

About

This web application is designed to collect data for LLM training, it periodically collects data from third party data sources and provides an API to annotate and access them.

Topics

Resources

Stars

3 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

Contributors

Languages