Connect Archive and Elastic Email integrations
Connect Archive and Elastic Email 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 Elastic Email 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.
Adds a new contact and optionally to one of your lists.
Creates a new list, based on the filtering rule or list of IDs.
Permanently deletes the contacts provided. You can provide either a qualified rule or a list of emails.
Deletes a list and removes all the contacts from it (does not delete contacts).
Loads detailed contact information.
Gets detailed information about specific list.
Performs an arbitrary authorized API call.
Submits the emails.
Manually adds or updates a contact to Unsubscribed status.
Updates a selected contact.
Updates an existing list.
Searches the contacts or lists them all .
Searches the lists or lists them all.
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Build your Archive and Elastic Email integrations.
Create custom Archive and Elastic Email workflows by choosing triggers, actions, and searches. A trigger is an event that launches the workflow, an action is the event.
Adds a new contact and optionally to one of your lists.
Creates a new list, based on the filtering rule or list of IDs.
Creates a ZIP or TAR archive from received files.
Compress binary data with Deflate algorithm.
Permanently deletes the contacts provided. You can provide either a qualified rule or a list of emails.
Deletes a list and removes all the contacts from it (does not delete contacts).
Extracts files from a ZIP archive.
Loads detailed contact information.
Gets detailed information about specific list.
Popular Archive and Elastic Email workflows.
Looking to get more out of Archive and Elastic Email? With Make you can visually integrate Archive and Elastic Email 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 ->Send new Elastic Email contacts to Facebook Conversions API
This template retrieves contacts created in Elastic Email "yesterday" and then sends the new contacts as new "subscribe" events to Facebook Conversions API. The template is currently scheduled to run daily at 8 am. You can change this after you set up the template.
TRY IT ->Add a new customer in Shopify as a new contact in Elastic Email
Every time a new customer is added to Shopify, Make will automatically create a new contact in Elastic Email.
TRY IT ->Add new Elastic Email contacts to a Google Spreadsheets
Every time a new contact is added to Elastic Email list, Make will automatically add contact to a new row in a Google Sheets spreadsheet. The template uses this [example spreadsheet](https://docs.google.com/spreadsheets/d/150MxvpoTzxtuFOiGBaZwAVYOkbLZSt8Gt81E4k_hZQA/edit?usp=sharing).
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 ->
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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.
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