Templates using Logger
Polls Gmail for new emails and uses OpenAI to classify each one into a single department label (Sales, Support, Finance, Operations, HR, or URGENT). The matching Gmail label is applied, the department's recipient address is stored, and the original email is forwarded to the correct team.
Deletes a specific sheet from a Google Sheets spreadsheet and logs the result. A minimal, on-demand example workflow.
New to ByteChef? This simple workflow is the perfect way to get started. In just a few minutes, you'll build your first automation that runs on a schedule, fetches a random quote from the internet and logs it.
Lists all sheets in a Google Sheets spreadsheet and logs them. A minimal, on-demand example workflow.
Reads a local cities.csv file, parses it, and loops over each row. Rows with both a City and a State value are logged and inserted into the PostgreSQL CITY table; rows missing either value are logged as warnings. After the loop, it queries the row count of the CITY table and logs the total.
Polls Gmail for new emails. For each email, OpenAI extracts the patient name, doctor type, and requested date-time period. Free time slots are fetched from Google Calendar for that period, the workflow loops over them keeping only slots at least 45 minutes long, and OpenAI proposes a list of concrete 45-minute appointment options. The workflow replies to the original email with the suggestions.
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Approval component for manual intervention in workflows.
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Actions and triggers for using with the chat widget.
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Reads and writes data from a csv file.
The Data Mapper enables you to configure data mappings.
Using the Data Storage component, you can easily manage and operate on lists and objects by setting or retrieving any desired data. This process employs a key-value store mechanism, where the key represents the field's name and the value corresponds to the particular data's actual value.
Processes and transforms data in data streams.
Focus on what matters,automate the rest.
