stacktrace.js v2.0 is out, featuring ES6 support, better stack frames, and more!
Robotic Process Automation (RPA) extractors are software tools designed to automatically capture, parse, and structure data from various sources (web pages, documents, emails, etc.) without manual intervention. An RPA Extractor Online refers to cloud-based or web-accessible RPA tools that specialize in data extraction, often integrated with broader RPA platforms. These tools enable businesses to automate data harvesting from websites, PDFs, invoices, and legacy systems, reducing human error and operational costs.
| Industry | Use Case |
|----------|----------|
| E‑commerce | Extract competitor pricing and product descriptions from multiple websites |
| Finance | Pull invoice line items and remittance data from PDFs or supplier portals |
| Healthcare | Extract patient demographics and insurance details from scanned forms |
| Logistics | Capture tracking numbers and delivery status from carrier websites |
| HR | Gather candidate resumes from job portals and parse into structured fields |
| Real estate | Aggregate property listings (price, location, square footage) from listing sites |
| Feature | Description |
|---------|-------------|
| Point-and-click interface | No-code selector tools to define data fields |
| AI-based pattern recognition | Automatically identifies tables, forms, and repeating elements |
| Multi-format support | HTML, PDF, Excel, CSV, JSON, images (via OCR) |
| Cloud or hybrid deployment | Accessible online, with options for on-premise data processing |
| Scheduled extraction | Run extractions at defined intervals (e.g., hourly, daily) |
| Export & integration | Output to databases, APIs, RPA bots, or cloud storage (e.g., Google Sheets, SharePoint) |
| Change resilience | Smart selectors that auto-heal when source structure changes |
Most platforms follow a similar workflow. Here is a generic guide:
Step 1: Upload Source Data
Drag and drop your files (PDFs, images, Word docs) into the browser window. rpa extractor online
Step 2: Define Schema (What to extract)
Create fields: Name, Date, Total Amount. If extracting from a website, click on the webpage element you want to scrape.
Step 3: Train the RPA Bot
Click "Train." The AI learns the spatial relationship or text pattern. For websites, the bot saves the HTML path (XPath).
Step 4: Set a Trigger
Schedule it: "Run every Monday at 9 AM." Or set an event trigger: "When a new file lands in this Dropbox folder."
Step 5: Review & Export
The bot processes the data. You receive a CSV, JSON, or direct API payload. Human-in-the-loop reviews only the "low confidence" matches.
Your extractor must handle chaos. Ensure it supports PDF (searchable and scanned), images (JPG, PNG, TIFF), emails (MSG, EML), HTML, and Excel/CSV files. If it only manages clean digital PDFs, you will quickly hit a wall. | Industry | Use Case | |----------|----------| |
In the context of automation, an "Extractor" is a tool designed to identify, capture, and structure data from unstructured sources. While many RPA platforms (like UiPath or Automation Anywhere) have built-in extraction tools, they can be complex to configure and expensive to license.
An RPA Extractor Online is a cloud-based tool that performs this task via a web interface or API, allowing you to process documents without installing heavy software or writing complex code.
In today’s data-driven world, businesses need to extract information from websites, PDFs, and documents—but manual copy-pasting is slow, error-prone, and expensive. Enter the RPA Extractor Online: a cloud-based, no-code tool that combines robotic process automation (RPA) with intelligent data extraction.
More than meets the eye
5 tools in 1!
stacktrace.js - instrument your code and generate stack traces
stacktrace-gps - turn partial code location into precise code location
stack-generator - generate artificial backtrace in old browsers
stackframe - JS Object representation of a stack frame
Not just for Errors
You can use Stacktrace.get() anywhere! Try it next time you're tempted to use debugger;
Use it during development when you want to understand what's calling a function. Just write StackTrace.instrument(interestingFn, callback, errback);If extracting from a website, click on the
In version 1.x, We've switched from a synchronous API to an asynchronous one using Promises because synchronous ajax calls are deprecated and frowned upon due to performance implications.
All methods now return stackframes. This Object representation is modeled closely after StackFrame representations in Gecko and V8. All you have to do to get stacktrace.js v0.x behavior is call .toString() on a stackframe.
Use Case: Give me a trace from wherever I am right now
var error = new Error('Boom');
printStackTrace({e: error});
==> Array[String]
v1.x:
var error = new Error('Boom');
StackTrace.fromError(error).then(callback).catch(errback);
==> Promise(Array[StackFrame], Error);
If this is all you need, you don't even need the full stacktrace.js library! Just use error-stack-parser!
ErrorStackParser.parse(new Error('boom'));
Use Case: Give me a trace anytime this function is called
Instrumenting now takes Function references instead of Strings.
v0.x:
function interestingFn() {...};
var p = new printStackTrace.implementation();
p.instrumentFunction(this, 'interestingFn', logStackTrace);
==> Function (instrumented)
p.deinstrumentFunction(this, 'interestingFn');
==> Function (original)
v1.x:
function interestingFn() {...};
StackTrace.instrument(interestingFn, callback, errback);
==> Function (instrumented)
StackTrace.deinstrument(interestingFn);
==> Function (original)
Rpa Extractor Online Today
.parseError()
Error: Error message
at baz (http://url.com/file.js:10:7)
at bar (http://url.com/file.js:7:17)
at foo (http://url.com/file.js:4:17)
at http://url.com/file.js:13:21
Parsed Error
.get()
function foo() {
console.log('foo');
bar();
}
function bar() {
baz();
}
function baz() {
function showTrace(stack) {
var event = new CustomEvent('st:try-show', {detail: stack});
document.body.dispatchEvent(event);
}
function showError(error) {
var event = new CustomEvent('st:try-error', {detail: error});
document.body.dispatchEvent(event);
}
StackTrace.get()
.then(showTrace)
.catch(showError);
}
foo();
StackTrace output
Rpa Extractor Online Today
Robotic Process Automation (RPA) extractors are software tools designed to automatically capture, parse, and structure data from various sources (web pages, documents, emails, etc.) without manual intervention. An RPA Extractor Online refers to cloud-based or web-accessible RPA tools that specialize in data extraction, often integrated with broader RPA platforms. These tools enable businesses to automate data harvesting from websites, PDFs, invoices, and legacy systems, reducing human error and operational costs.
| Industry | Use Case |
|----------|----------|
| E‑commerce | Extract competitor pricing and product descriptions from multiple websites |
| Finance | Pull invoice line items and remittance data from PDFs or supplier portals |
| Healthcare | Extract patient demographics and insurance details from scanned forms |
| Logistics | Capture tracking numbers and delivery status from carrier websites |
| HR | Gather candidate resumes from job portals and parse into structured fields |
| Real estate | Aggregate property listings (price, location, square footage) from listing sites |
| Feature | Description |
|---------|-------------|
| Point-and-click interface | No-code selector tools to define data fields |
| AI-based pattern recognition | Automatically identifies tables, forms, and repeating elements |
| Multi-format support | HTML, PDF, Excel, CSV, JSON, images (via OCR) |
| Cloud or hybrid deployment | Accessible online, with options for on-premise data processing |
| Scheduled extraction | Run extractions at defined intervals (e.g., hourly, daily) |
| Export & integration | Output to databases, APIs, RPA bots, or cloud storage (e.g., Google Sheets, SharePoint) |
| Change resilience | Smart selectors that auto-heal when source structure changes |
Most platforms follow a similar workflow. Here is a generic guide:
Step 1: Upload Source Data
Drag and drop your files (PDFs, images, Word docs) into the browser window.
Step 2: Define Schema (What to extract)
Create fields: Name, Date, Total Amount. If extracting from a website, click on the webpage element you want to scrape.
Step 3: Train the RPA Bot
Click "Train." The AI learns the spatial relationship or text pattern. For websites, the bot saves the HTML path (XPath).
Step 4: Set a Trigger
Schedule it: "Run every Monday at 9 AM." Or set an event trigger: "When a new file lands in this Dropbox folder."
Step 5: Review & Export
The bot processes the data. You receive a CSV, JSON, or direct API payload. Human-in-the-loop reviews only the "low confidence" matches.
Your extractor must handle chaos. Ensure it supports PDF (searchable and scanned), images (JPG, PNG, TIFF), emails (MSG, EML), HTML, and Excel/CSV files. If it only manages clean digital PDFs, you will quickly hit a wall.
In the context of automation, an "Extractor" is a tool designed to identify, capture, and structure data from unstructured sources. While many RPA platforms (like UiPath or Automation Anywhere) have built-in extraction tools, they can be complex to configure and expensive to license.
An RPA Extractor Online is a cloud-based tool that performs this task via a web interface or API, allowing you to process documents without installing heavy software or writing complex code.
In today’s data-driven world, businesses need to extract information from websites, PDFs, and documents—but manual copy-pasting is slow, error-prone, and expensive. Enter the RPA Extractor Online: a cloud-based, no-code tool that combines robotic process automation (RPA) with intelligent data extraction.
Rpa Extractor Online Today
Turn partial code location into precise code location
This library accepts a code location (in the form of a StackFrame) and returns a new StackFrame with a more accurate location (using source maps) and guessed function names.
Usage
var stackframe = new StackFrame({fileName: 'http://localhost:3000/file.min.js', lineNumber: 1, columnNumber: 3284});
var callback = function myCallback(foundFunctionName) { console.log(foundFunctionName); };
// Such meta. Wow
var errback = function myErrback(error) { console.log(StackTrace.fromError(error)); };
var gps = new StackTraceGPS();
// Pinpoint actual function name and source-mapped location
gps.pinpoint(stackframe).then(callback, errback);
//===> Promise(StackFrame({functionName: 'fun', fileName: 'file.js', lineNumber: 203, columnNumber: 9}), Error)
// Better location/name information from source maps
gps.getMappedLocation(stackframe).then(callback, errback);
//===> Promise(StackFrame({fileName: 'file.js', lineNumber: 203, columnNumber: 9}), Error)
// Get function name from location information
gps.findFunctionName(stackframe).then(callback, errback);
//===> Promise(StackFrame({functionName: 'fun', fileName: 'http://localhost:3000/file.min.js', lineNumber: 1, columnNumber: 3284}), Error)
Simple, cross-browser Error parser. This library parses and extracts function names, URLs, line numbers, and column numbers from the given Error's stack as an Array of StackFrames.
Once you have parsed out StackFrames, you can do much more interesting things. See stacktrace-gps.
Note that in IE9 and earlier, Error objects don't have enough information to extract much of anything. In IE 10, Errors are given a stack once they're thrown.