Table structure
Which sheets the service creates when exporting results, and what the sheet with domain lists looks like
Result sheets
The service creates the result sheets itself — nothing has to be prepared in the spreadsheet in advance. A sheet name is made of the section tag and the domain zone: the zone is taken from the domain ending and written in capitals (site.nl → NL, example.com → COM).
| Section | Sheet name | Example |
|---|---|---|
| Domain selection | (DS)-ZONE | (DS)-NL |
| Link check | (LC)-ZONE | (LC)-NL |
| Site DR | (DR)-ZONE | (DR)-NL |
| Domain history | (WA)-ZONE | (WA)-NL |
Inside a sheet the first row holds the column headers. Every next task is appended below: first a row with the task name, then the rows of its domains. Nothing is overwritten.
.nl domains go to the NL zone sheet, .com domains to the COM zone sheet.The sheet with domain lists
When the domains for tasks are taken from the spreadsheet itself, the service reads the sheet named "База данных" (Russian for "database"). The name is matched exactly, character for character.
Each column of this sheet is a separate task:
| Row | Content | Description |
|---|---|---|
| 1 | A date, for example 24.11 | Goes into the task name |
| 2 and below | Domains, one per row | The domain list of the task, for example example.com |
/. A column with the date 24.11 and the domains example.com, test.nl gives the task "24.11 COM/NL". To set the zone by hand, append it to the date after #: a column with 24.11#NL creates the task "24.11 NL" — whatever endings the domains in the list have.Example of the "База данных" sheet
| A | B | C |
|---|---|---|
| 24.11 | 17.11 | 10.11 |
| site.nl | site1.ca | domain.de |
| test.nl | site2.ca | web.de |
| domain.nl | site3.ca | ... |
Column A in this example gives the task "24.11 NL", column B — "17.11 CA", column C — "10.11 DE".
Important
- One column is one task. Empty cells in the domain list are skipped, gaps in a column do no harm.
- Domains are cleaned up automatically:
https://,www., the path after the domain and the port are dropped, and the case is lowered. - Repeats of the same domain inside a column are removed, and values that do not look like a domain are dropped and counted as invalid.
- A column the service has already taken into work (the same date and the same set of domains) is not run again — the task will not be created twice.
NL is not a domain — it simply lands in the counter of invalid values. The zone is set with the # tag in the cell with the date.