Sheets in which we load

Other times, however, to obtain an ingrient it is necessary to work on it a little more. For example, at Ikaue some time ago we ne to generate a process that would help spe up the indexing of new URLs from various sites. To do this, we creat a Google  URLs via.

CSV or with a direct BigQuery connection

We insert a Google APPs Scripts code that allow us to use the Google indexing API, and thus spe up the indexing of new and relevant URLs. In this case, the ingrient, which is the Google indexing API, was not as simple as installing a plugin, so depending on the ingrient.

You will have to work harder to obtain it

Gratuitos/indexing-url-helper Have alternatives to obtain the ingrients Since each ingrient will have a different degree of difficulty in linkedin data obtaining it, it is important to have different alternatives that make this work easier depending on the context.

 

special data

 

For example, we usually recommend

The following: Spreadsheets: if spe is the priority and there is no complexity due to the volume of data or its management. Workflow tools: when greater control/adaptation of data is requir Custom programming: when the volume of sheets in which we load data or algorithms to be us are complex/heavy For simple jobs, spreadsheets can be us. In these cases we usually use.

Google Sheets, which, together

With various plugins and options, allows us to work with many types of data. For example, we usually use what is shown in the following image, although there are actually more possibilities: For greater control we use workflow tools There are many workflow usa data tools, the most well-known of which are Make (formerly Integromat), N8N and Zapier. We use them all, although we make the most use of N8N because it allows us to install it on the server according to our nes.

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