# Parsers

Dealing with raw strings or unstructured messages is difficult. Having a structure makes data more usable. Set a structure for the incoming data by using input plugins as data is collected.

Parsers are fully configurable and are independently and optionally handled by each input plugin.

{% @mermaid/diagram content="graph LR
accTitle: Fluent Bit data pipeline
accDescr: A diagram of the Fluent Bit data pipeline, which includes input, a parser, a filter, a buffer, routing, and various outputs.
A\[Input] --> B\[Parser]
B --> C\[Filter]
C --> D\[Buffer]
D --> E((Routing))
E --> F\[Output 1]
E --> G\[Output 2]
E --> H\[Output 3]
style B stroke:darkred,stroke-width:2px;" %}

The parser converts unstructured data to structured data. As an example, consider the following Apache (HTTP Server) log entry:

```
192.168.2.20 - - [28/Jul/2006:10:27:10 -0300] "GET /cgi-bin/try/ HTTP/1.0" 200 3395
```

This log line is a raw string without format. Structuring the log makes it easier to process the data later. If the [regular expression parser](/manual/4.1/data-pipeline/parsers/regular-expression.md) is used, the log entry could be converted to:

```javascript
{
  "host":    "192.168.2.20",
  "user":    "-",
  "method":  "GET",
  "path":    "/cgi-bin/try/",
  "code":    "200",
  "size":    "3395",
  "referer": "",
  "agent":   ""
 }
```


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