Parser Tools
Parse and analyze XML, user agents, logs, SQL, URLs, cron expressions, and text. Browser-based parsing with instant results.
All Parser Tools
XML Parser
Parse XML documents and extract elements, attributes, and structure. Navigate XML trees and query with XPath.
User Agent Parser
Parse user agent strings to extract browser, operating system, device type, and version information.
Python HTML Parser
Generate Python code for HTML parsing using BeautifulSoup and lxml. Create web scraping scripts.
Log Parser
Parse server and application logs. Extract timestamps, severity levels, error messages, and stack traces.
Cron Parser
Parse cron expressions and translate to human-readable schedules. Calculate next run times and validate syntax.
SQL Parser
Parse SQL queries and extract tables, columns, joins, and query structure. Analyze query complexity.
URL Parser
Parse URLs and extract protocol, domain, path, query parameters, fragments, and port numbers.
Text Parser
Analyze text content with word count, character count, sentence count, and reading time calculation.
How to Parse Data Online
Extract structured information from raw data instantly.
- Choose your parser - Select the parser for your data type (XML, logs, URLs, etc.)
- Input your data - Paste your data, upload a file, or enter a URL to parse
- Click Parse - Press the parse button to analyze your data
- Review the results - Explore the parsed output in JSON, table, or tree view
- Export or copy - Copy the parsed data or download as JSON/CSV for use in your project
Frequently Asked Questions
What is data parsing?
Data parsing is the process of analyzing and extracting structured information from raw data. Parsers read input (like XML, logs, or URLs), identify meaningful components, and output organized data that can be used programmatically. Parsing transforms unstructured or semi-structured data into usable formats.
Is my data secure when using parsers?
Yes, all parsing happens directly in your browser using JavaScript. Your data never leaves your device or gets sent to any server. This makes our parsers safe for sensitive logs, proprietary data, and confidential information. No data is stored, logged, or transmitted.
Can I parse large files?
Yes, our browser-based parsers handle files of reasonable size efficiently. For very large files (10MB+), parsing may take a few seconds depending on your device. For extremely large datasets, consider splitting files or using streaming parsers in your development environment.
What output formats are available?
Most parsers output structured data as JSON, which can be easily copied or downloaded. Some parsers also support table views, tree visualizations, and CSV export. The output format depends on the type of data being parsed and the most useful representation.
Can I use parsed data in my applications?
Absolutely. Parsed output is typically JSON or structured text that you can copy directly into your code. Many parsers also provide code snippets showing how to parse similar data programmatically in Python, JavaScript, and other languages.
How do parsers handle malformed input?
Parsers attempt to extract as much information as possible from malformed input. They report parsing errors with details about where the problem occurred. For critical applications, always validate input before parsing and handle potential errors in your code.