Connect Archive and Perplexity AI integrations
Connect Archive and Perplexity 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 Perplexity 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 chat completions with the chosen model.
Performs an arbitrary authorized API call.
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Create custom Archive and Perplexity AI workflows by choosing triggers, actions, and searches. A trigger is an event that launches the workflow, an action is the event.
Creates a chat completions with the chosen model.
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.
Connect any app with Archive and Perplexity AI
Popular Archive and Perplexity AI workflows.
Looking to get more out of Archive and Perplexity AI? With Make you can visually integrate Archive and Perplexity AI into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.
Perplexity AI Research Automation via Google Sheets
Integrating Perplexity AI with Google Sheets seamlessly enhances your content creation process. This powerful template automatically generates relevant completions, ranging from SEO keywords to custom responses, boosting productivity and content quality with ease. To use this template, please prepare a spreadsheet containing columns named "Input" and "Completion".
TRY IT ->Send a Telegram message for every new article trigger from RSS feed
Automatically send a Telegram message for every new article detected in your RSS feed using Perplexity AI for content generation.
TRY IT ->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 ->
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