Connect Archive and Google Gemini AI integrations
Connect Archive and Google Gemini AI with any of your favorite apps in just a few clicks. Design, build, and automate anything for your work by integrating apps like Archive and Google Gemini AI to create visual automated workflows. Choose from thousands of ready-made apps or use our no-code toolkit to connect to apps not yet in our library.
Extracts files from a ZIP archive.
Creates a completion for the provided prompt or chat.
Performs an arbitrary authorized API call.
Uploads a file so it can be used in the completions.
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Build your Archive and Google Gemini AI integrations.
Create custom Archive and Google Gemini AI workflows by choosing triggers, actions, and searches. A trigger is an event that launches the workflow, an action is the event.
Creates a completion for the provided prompt or chat.
Creates a ZIP or TAR archive from received files.
Compress binary data with Deflate algorithm.
Extracts files from a ZIP archive.
Decompress a gzip binary data.
Compress binary data using gzip.
Decompress binary data with Inflate algorithm.
Performs an arbitrary authorized API call.
Uploads a file so it can be used in the completions.
Connect any app with Archive and Google Gemini AI
Popular Archive and Google Gemini AI workflows.
Looking to get more out of Archive and Google Gemini AI? With Make you can visually integrate Archive and Google Gemini AI into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.
Create, download and parse your Amazon Seller Central report
Generate Amazon Seller Central reports effortlessly through our JSON strings, offering easy creation, downloading, and parsing of your report data. You can then use the parsed data to create visual reports in the way that you want.
TRY IT ->Save new ParseHub data in Shufflrr
This scenario can be run at specific intervals to retrieve the latest data of a ParseHub project. Make will automatically extract, convert and save the data in specified Shufflrr folder.
TRY IT ->Create a backup of zipped completed PandaDoc documents in OneDrive
If there are new completed PandaDoc documents, Make will automatically create a compressed backup and uploads it to OneDrive. You can schedule the scenario to run as you need but adjust the first filter ("only the most recent") accordingly. For example, if it runs once a week, only documents modified in the last 7 days should pass the filter.
TRY IT ->Upload new OneDrive files to Google Cloud Storage
Every time a new file is added to your OneDrive account, Make will automatically upload it to a Google Cloud Storage bucket. If the file exceeds the specified size limit, the object will be compressed before the upload.
TRY IT ->Iterate over a ParseHub dataset and save the result in Google Sheets
This scenario helps you iterate over a ParseHub dataset. At specific intervals, Make will automatically extract and convert the latest data to a JSON file. Then, we use an iterator to parse the data line by line and the result is saved in Google Sheets. This template follows the starting tutorial from ParseHub and will output this [example Spreadsheet](https://docs.google.com/spreadsheets/d/17cC29njZVkFyDVW-tByctlPMpjMVPo3tnxf9tTScYdc/edit?usp=sharing).
TRY IT ->Save new Uploadcare files to Dropbox
Every time a new file is uploaded to Uploadcare, Make will automatically create a backup to your Dropbox account. If the file is too large, Make will compress it prior to the upload.
TRY IT ->Run ParseHub projects and save the data in Google Drive
This scenario helps you run a ParseHub project and store the parsed data in Google Drive. Make will automatically extract, convert and save the data in a JSON format.
TRY IT ->Save new ParseHub data as Google Sheets files in Drive
This scenario can be run at specific intervals to retrieve the latest data of a ParseHub project. Make will automatically extract, save and convert the data in a format directly compatible with Google Sheets, such as [this example file](https://docs.google.com/spreadsheets/d/1zInrdXb-2NufVVgz3ykq9x9jXwzDrUj0kr2-vxGFeDM/edit?usp=sharing).
TRY IT ->Save new ParseHub data as CSV files in OneDrive
This scenario can be run at specific intervals to retrieve the latest data of a ParseHub project. Make will automatically extract, save and convert the data in a format directly compatible with Excel 365.
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