> For the complete documentation index, see [llms.txt](https://docs.zerowork.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zerowork.io/using-zerowork/using-building-blocks/delete-data.md).
# Delete Data
This action removes individual rows or all data in your table.
Below you will learn more about the two available options.
### Delete All Rows
All data is permanently removed.
It's a useful option if you regularly run your TaskBot to collect data and want to overwrite old data with newly collected data on every run. Simply place *Delete Data* building block at the beginning of your workflow before any loops start.
### **Delete One Row**
This option is useful for the case when you want to delete only if a certain condition is met.
#### Example: Remove disqualified leads if lead qualification status does not equal "qualified"
Imagine you collected a list of leads. Your TaskBot updated the column "Qualification" in the table by checking for certain keywords. (There is an example set-up for auto-qualifying leads here: [Update Data](/using-zerowork/using-building-blocks/update-data.md#example-1-mark-leads-as-qualified-if-certain-conditions-are-fulfilled).) Now every lead that is qualified is marked with the word "Qualified" in the table. Your goal is to delete all the disqualified leads.
This is the workflow set-up:
The loop is set up to iterate over rows (see [Start Repeat](/using-zerowork/using-building-blocks/start-repeat.md)).
*Start Condition* building block sets the column "Qualification" as the reference.
Condition in *Set Condition* is set to filter out the qualified leads.
The last building block in this sequence is *Delete Data* and it deletes one row during each loop iteration, as long as the above condition was fulfilled.
### Video Tutorial
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