Online Beacon Parsers: Decode Analytics Requests Instantly
Learn how to use online beacon parsers to decode and understand analytics tracking requests. Discover the best tools for parsing Google Analytics, Adobe Analytics, and marketing pixels.
Online Beacon Parsers: Decode Analytics Requests Instantly
Analytics beacons - those cryptic URLs packed with encoded parameters - can be intimidating at first glance. Online beacon parsers transform these complex strings into human-readable data, making it easy to understand exactly what tracking information is being collected. This guide covers the best online tools and techniques for parsing analytics beacons.
What Are Analytics Beacons?
An analytics beacon is an HTTP request sent from a browser or app to an analytics server. These beacons contain encoded data about user interactions, page views, and events. Here’s what a typical Google Analytics 4 beacon looks like:
https://www.google-analytics.com/g/collect?v=2&tid=G-ABC123DEF>m=45je42s0v881851720za200&_p=1234567890&gcd=13l3l3l3l1&cid=1689234567.1702345678&ul=en-us&sr=1920x1080&_s=1&sid=1702345678&sct=1&seg=1&dl=https%3A%2F%2Fexample.com%2Fproducts&dr=https%3A%2F%2Fgoogle.com&dt=Product%20Page&en=page_view
Without a parser, decoding this manually is tedious and error-prone. Beacon parsers do the heavy lifting for you.
Why Use Online Beacon Parsers?
1. Instant Decoding
Paste a URL and immediately see decoded parameters - no setup required.
2. Universal Access
Work from any device with a browser. No software installation needed.
3. Documentation Reference
Most parsers include descriptions of what each parameter means.
4. Team Collaboration
Share parsed results with colleagues who may not have debugging tools installed.
5. Quick Validation
Rapidly check if tracking is sending the expected data.
Top Online Beacon Parsers
1. GA4 Measurement Protocol Debugger
URL: Built into Google Analytics
Best For: Validating GA4 Measurement Protocol requests
How to Use:
- Navigate to GA4 Property → Admin → Data Streams
- Select your stream → Measurement Protocol API secrets
- Use the Measurement Protocol validation endpoint:
POST https://www.google-analytics.com/debug/mp/collect
Features:
- Official Google validation
- Shows exactly what GA4 will accept
- Provides specific error messages for invalid parameters
2. Google Analytics Hit Builder
URL: ga-dev-tools.web.app/hit-builder/
Best For: Building and validating Universal Analytics hits
How to Use:
- Select hit type (pageview, event, transaction, etc.)
- Fill in parameters or paste an existing hit
- Validate the hit against GA servers
Features:
- Interactive parameter editor
- Real-time validation
- Shareable hit URLs
3. Analytics Debugger by Analytics Mania
URL: Available as browser extension with online documentation
Best For: Real-time beacon parsing in browser
How to Use:
- Install the Chrome extension
- Open DevTools and go to the Analytics Debugger tab
- View parsed beacons in real-time
Features:
- Supports GA4, UA, Facebook, and more
- Color-coded parameter groups
- dataLayer integration
4. Omnibug
URL: omnibug.io (browser extension)
Best For: Multi-platform analytics debugging
How to Use:
- Install the extension
- Open DevTools → Omnibug tab
- View all analytics requests with decoded parameters
Supported Platforms:
- Google Analytics (UA & GA4)
- Adobe Analytics
- Facebook Pixel
- LinkedIn Insight
- 50+ other platforms
5. Adobe Analytics Debugger
URL: Part of Adobe Experience Platform Debugger
Best For: Adobe Analytics implementations
How to Use:
- Install Adobe Experience Platform Debugger extension
- Navigate to a page with Adobe Analytics
- View decoded beacon parameters
Features:
- Full Adobe stack support
- Variable mapping display
- Processing rules preview
6. Facebook Pixel Helper
URL: Chrome extension
Best For: Facebook Pixel debugging
How to Use:
- Install the extension
- Look for the extension icon to turn blue on pages with Pixel
- Click to see all events and parameters
Features:
7. URL Decoder/Encoder Tools
For quick manual decoding, these general-purpose tools work well:
Tools:
- urldecoder.org
- meyerweb.com/eric/tools/dencoder/
- url-encode-decode.com
Use Case: When you just need to decode URL-encoded strings quickly.
How to Parse Different Analytics Platforms
Parsing Google Analytics 4 Beacons
GA4 beacons follow a consistent structure. Here’s how to decode them:
Example Beacon:
https://www.google-analytics.com/g/collect?v=2&tid=G-ABC123DEF&cid=1234.5678&en=purchase&ep.transaction_id=T-001&ep.value=99.99&ep.currency=USD
Decoded:
| Parameter | Value | Meaning |
|---|---|---|
v | 2 | Measurement Protocol version |
tid | G-ABC123DEF | Measurement ID |
cid | 1234.5678 | Client ID |
en | purchase | Event name |
ep.transaction_id | T-001 | Transaction ID (event param) |
ep.value | 99.99 | Purchase value (event param) |
ep.currency | USD | Currency code (event param) |
Key GA4 Parameter Prefixes:
Parsing Universal Analytics Beacons
UA uses the older Measurement Protocol format:
Example Beacon:
https://www.google-analytics.com/collect?v=1&tid=UA-12345-1&cid=555&t=event&ec=Video&ea=play&el=holiday%20campaign&ev=300
Decoded:
| Parameter | Value | Meaning |
|---|---|---|
v | 1 | Protocol version |
tid | UA-12345-1 | Tracking ID |
cid | 555 | Client ID |
t | event | Hit type |
ec | Video | Event category |
ea | play | Event action |
el | holiday campaign | Event label (decoded) |
ev | 300 | Event value |
Parsing Adobe Analytics Beacons
Adobe Analytics beacons have a different structure:
Example Beacon:
https://metrics.example.com/b/ss/rsid/1/JS-2.22.0/s12345678901234?AQB=1&pageName=Home&events=event1&c1=value1&v1=evar1value&pe=lnk_o&pev2=Click%20CTA&AQE=1
Decoded:
| Parameter | Value | Meaning |
|---|---|---|
rsid | rsid | Report Suite ID (in URL path) |
pageName | Home | Page name |
events | event1 | Events fired |
c1 | value1 | Custom prop 1 |
v1 | evar1value | eVar 1 |
pe | lnk_o | Link type (other link) |
pev2 | Click CTA | Link name |
Parsing Facebook Pixel Beacons
Facebook Pixel uses a base64-encoded data structure:
Example Beacon:
https://www.facebook.com/tr/?id=1234567890&ev=PageView&dl=https%3A%2F%2Fexample.com&rl=https%3A%2F%2Fgoogle.com&ts=1702345678901
Decoded:
| Parameter | Value | Meaning |
|---|---|---|
id | 1234567890 | Pixel ID |
ev | PageView | Event name |
dl | https://example.com | Document location |
rl | https://google.com | Referrer URL |
ts | 1702345678901 | Timestamp |
For purchase events, look for cd (custom data):
cd[value]=99.99&cd[currency]=USD&cd[content_ids]=["SKU123"]
Building Your Own Beacon Parser
For custom needs, you can create a simple beacon parser:
JavaScript Beacon Parser
function parseBeacon(url) {
const urlObj = new URL(url);
const params = {};
// Parse query parameters
urlObj.searchParams.forEach((value, key) => {
// Handle array notation
if (key.includes('[')) {
const baseKey = key.split('[')[0];
if (!params[baseKey]) params[baseKey] = {};
const subKey = key.match(/\[(.*?)\]/)[1];
params[baseKey][subKey] = decodeURIComponent(value);
} else {
params[key] = decodeURIComponent(value);
}
});
return {
endpoint: urlObj.origin + urlObj.pathname,
parameters: params
};
}
// Usage
const beacon = "https://www.google-analytics.com/g/collect?v=2&tid=G-ABC123&en=page_view";
console.log(parseBeacon(beacon));
Python Beacon Parser
from urllib.parse import urlparse, parse_qs, unquote
def parse_beacon(url):
parsed = urlparse(url)
params = {}
for key, values in parse_qs(parsed.query).items():
# Decode and take first value
params[key] = unquote(values[0]) if len(values) == 1 else [unquote(v) for v in values]
return {
'endpoint': f"{parsed.scheme}://{parsed.netloc}{parsed.path}",
'parameters': params
}
# Usage
beacon = "https://www.google-analytics.com/g/collect?v=2&tid=G-ABC123&en=page_view"
print(parse_beacon(beacon))
Best Practices for Using Beacon Parsers
1. Capture Complete Beacons
Ensure you’re copying the entire URL, including all query parameters. Truncated beacons will give incomplete results.
2. Check for POST Data
Some analytics platforms send data via POST body instead of URL parameters. Use DevTools Network panel to capture the full request.
3. Understand URL Encoding
Know common encodings:
%20or+= space%2F= /%3A= :%3D= =%26= &
4. Document Your Findings
Create a reference sheet of parameter meanings for platforms you work with regularly.
5. Validate Against Documentation
Cross-reference parsed results with official documentation to ensure correct interpretation.
Common Parameters Across Platforms
Many analytics platforms share similar concepts:
| Concept | GA4 | UA | Adobe | |
|---|---|---|---|---|
| Page URL | dl | dl | g | dl |
| Page Title | dt | dt | pageName | n/a |
| Referrer | dr | dr | r | rl |
| Event Name | en | t+ea | pe+pev2 | ev |
| User ID | uid | uid | vid | external_id |
| Transaction ID | ep.transaction_id | ti | purchaseID | cd[content_ids] |
Troubleshooting with Beacon Parsers
Issue: Missing Expected Parameters
Possible Causes:
- Parameter not sent by implementation
- Parameter has different name than expected
- Data sent via POST body instead of URL
Solution:
- Check the raw Network request in DevTools
- Verify implementation code
- Check both GET and POST data
Issue: Garbled or Encoded Values
Possible Causes:
Solution:
- Try decoding multiple times
- Check for base64 patterns (ends with
=or==) - Look for JSON structure
{or[
Issue: Different Parameter Names
Possible Causes:
- Platform version differences
- Custom implementation
- SDK variations
Solution:
- Check platform documentation for current parameter names
- Compare with known working beacons
- Review SDK source code if available
Creating a Debugging Workflow
Step 1: Capture the Beacon
Use DevTools, Charles Proxy, or browser extensions to capture the full request.
Step 2: Initial Parsing
Paste into an online parser for quick decoding.
Step 3: Identify Key Parameters
Focus on:
Step 4: Validate Values
Compare parsed values against expected values from your tracking specification.
Step 5: Document Findings
Record discrepancies and share with development team.
Recommended Tool Stack
For comprehensive analytics debugging, combine these tools:
- Browser Extension (Omnibug or Analytics Debugger) - Real-time monitoring
- Online Parser (GA Hit Builder) - Quick validation
- Charles Proxy - Mobile and complex debugging
- Custom Scripts - Automated testing
Conclusion
Online beacon parsers are invaluable tools that transform cryptic analytics requests into understandable data. Whether you’re using browser extensions for real-time debugging, online tools for quick parsing, or building custom solutions, understanding how to decode analytics beacons is a fundamental skill for anyone working with digital analytics.
Start with the tools mentioned in this guide, and as you become more comfortable, you’ll find yourself quickly identifying issues that would have taken hours to debug manually.
Frequently Asked Questions
Are online beacon parsers safe to use?
Generally yes, but be cautious with sensitive data. Avoid pasting beacons containing personally identifiable information (PII) into third-party online tools. For sensitive data, use local tools or build your own parser.
Can I parse beacons from mobile apps?
Yes, but you’ll need to capture them first using a proxy tool like Charles Proxy. Once captured, they can be parsed like any other beacon.
Why do some parameters show as numbers instead of text?
Many platforms use lookup tables where numbers map to text values. For example, in GA4, _ss=1 means “session start = true.” Refer to platform documentation for these mappings.
How do I know if a beacon was received successfully?
Check the HTTP response status code. A 200 or 204 typically indicates success. Also check for responses like gif (1x1 pixel) or empty responses which are normal for analytics endpoints.
Can beacon parsers show me historical data?
No, beacon parsers only decode the request data. They don’t have access to what was actually stored in the analytics platform. For historical data, you’ll need to check the analytics platform’s reports or raw data exports.