# Log Parser - Apache/Nginx Access Log Parser

Parse Apache/Nginx access logs using regex patterns and extract structured data

> Canonical page: https://elysiatools.com/en/tools/log-parser

- **Category:** Data Processing

- **Keywords:** log, parser, apache, nginx, access log, regex, web server, log analysis

## Overview

This tool parses Apache and Nginx access logs using regex patterns to extract structured data. It supports common log formats and custom patterns, outputting results in JSON, table, or CSV for easy analysis.

## Inputs

- **Log Content** (textarea): Paste your Apache/Nginx access log entries here...
- **Log Format** (select)
- **Custom Regex Pattern** (text): Enter a custom regex pattern when "Custom Regex Pattern" is selected. Use capture groups to extract fields.
- **Output Format** (select)

## When to use

- When you need to analyze web server access logs for traffic patterns or errors.
- When extracting specific fields like IP addresses, request methods, or status codes from unstructured logs.
- When converting log data into a structured format like JSON or CSV for reporting or further processing.

## How it works

- Paste your Apache or Nginx access log content into the input field.
- Select the log format from predefined options or provide a custom regex pattern.
- Choose the output format (JSON, table, or CSV) to view the parsed data.
- The tool applies the regex pattern to extract fields and displays the structured results.

## Use cases

- Web server log analysis for monitoring website traffic and identifying popular pages.
- Security auditing by extracting and analyzing access patterns to detect suspicious activity.
- Performance optimization by parsing request times and HTTP status codes to troubleshoot issues.

## Frequently asked questions

### What log formats are supported?

Common Log Format (CLF), Combined Log Format, Nginx Default Format, and custom regex patterns.

### Can I use my own regex pattern?

Yes, select 'Custom Regex Pattern' and enter a regex with capture groups to define the fields.

### What output formats are available?

JSON, table, and CSV formats for flexible data handling.

### Is there a limit on log size?

The tool processes pasted content directly; for very large logs, consider splitting the input.

### How do I ensure accurate parsing?

Use the correct log format selection or define a precise custom regex that matches your log structure.

## Related tools

- [Structured Log Analyzer](https://elysiatools.com/en/tools/structured-log-analyzer): Detect common log formats, extract core fields, infer field types, and export parsed logs as JSON, CSV, or SQL inserts
- [Bulk Email Extractor](https://elysiatools.com/en/tools/bulk-email-extractor): Extract all email addresses from input text, articles, web source code, or mixed content. Supports deduplication and export to JSON.
- [Date Extractor (日期提取器)](https://elysiatools.com/en/tools/date-extractor): Extract dates from text in multiple formats including Chinese, ISO, and US formats with detailed analysis and summary
- [AI Regex Explainer](https://elysiatools.com/en/tools/ai-regex-explainer): Use AI to break down regular expressions into readable explanations
- [JWK Generator & Parser](https://elysiatools.com/en/tools/jwk-generator): Generate JSON Web Keys (JWK) for RSA, EC (P-256/P-384/P-521/secp256k1), and OKP (Ed25519/Ed448/X25519/X448), or parse an existing JWK to inspect its parameters, thumbprint, and metadata
- [Named Group Tester](https://elysiatools.com/en/tools/named-group-tester): Parse and display named capture groups from regex patterns
- [Text Pattern Stats](https://elysiatools.com/en/tools/text-pattern-stats): Statistics and frequency analysis of text patterns (numbers, emails, URLs, etc.)
- [User-Agent Parser](https://elysiatools.com/en/tools/user-agent-parser): Parse and analyze User-Agent strings to extract browser, operating system, device, and engine information

## Samples

- [Regex Replace Samples](https://elysiatools.com/en/samples/regex-replace): Collection of common and useful regex replacement patterns for text transformation and data cleaning
- [Web String Processing Go Samples](https://elysiatools.com/en/samples/web-string-processing-go): Web Go string processing examples including string splitting/joining, regular expressions, and string replacement
- [Web String Processing Python Samples](https://elysiatools.com/en/samples/web-string-processing-python): Web Python string processing examples including string split/join, regular expressions, and string replacement
- [Web String Processing Rust Samples](https://elysiatools.com/en/samples/web-string-processing-rust): Web Rust string processing examples including string split/join, regex, and replacement operations

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