> ## Documentation Index
> Fetch the complete documentation index at: https://docs.keyflow.space/llms.txt
> Use this file to discover all available pages before exploring further.

# Extract CSV Rows

### **Overview:**

The `Extract CSV Rows` block is designed to efficiently read CSV files row-wise and convert the data into a manageable 2D string array. This functionality allows for seamless integration of CSV data into various workflows, supporting diverse applications in data processing.

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### Inputs & Outputs

| I/O    | Feature         | Type         | Simple Explanation                                                                                                          |
| ------ | --------------- | ------------ | --------------------------------------------------------------------------------------------------------------------------- |
| input  | `csv_file_name` | file         | The CSV file to be read as text, providing the source of your row-wise data.                                                |
| input  | `has_headers`   | checkbox     | If checked, it skips the first line of the CSV file, treating them as headers and starting extraction from the second line. |
| output | `csv_rows`      | string\[]\[] | A 2D string array containing row-wise data extracted from the specified CSV file.                                           |

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### Use Cases

Consider how this block can enhance efficiency in various situations:

* **Data Analysis Automation:** Imagine needing to extract information from multiple CSV files for analysis; this block automates that process, allowing for immediate insights without manual intervention.
* **Workflow Efficiency:** When integrating data extraction into larger automated workflows (e.g., transferring extracted data to other applications), this block serves as a crucial component.
* **Time-Saving:** In cases involving large datasets across numerous CSV files, utilizing this block significantly decreases manual handling time by automating extraction processes.
* **Error Reduction:** By eliminating manual transcription errors associated with copying data from CSVs manually, this tool enhances accuracy in your datasets.

In summary, whenever there’s a requirement for systematic processing of structured data contained within a CSV format, the `Extract CSV Rows` block provides an effective solution!