Connect Toodledo and Archive integrations
Connect Toodledo and Archive with any of your favorite apps in just a few clicks. Design, build, and automate anything for your work by integrating apps like Toodledo and Archive 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.


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Build your Toodledo and Archive integrations.
Create custom Toodledo and Archive workflows by choosing triggers, actions, and searches. A trigger is an event that launches the workflow, an action is the event.
Adds a context. Context is a concept that is frequently used by people who use the GTD methodology. It allows you to assign tasks to certain contexts in which they must be completed.
Adds a folder. Folders are a way to organize tasks and notes into groups. Most people use folders to keep different projects or areas of their life separated.
Adds a goal. Goals are a way to organize tasks. Most people use goals to indicate how tasks contribute to longer term goals or aspirations.
Adds a location. Locations are a way to organize tasks by where they can be completed.
Adds a note. The Notes section of Toodledo (sometimes called Notebook) is an entire section for long form notes that users can create. Notes can be organized into folders.
Adds a task. Tasks allow users to keep track of the things that they need to do. This helps them stay organized and be more productive.
Creates a ZIP or TAR archive from received files.
Compress binary data with Deflate algorithm.
Deletes a context.
Popular Toodledo and Archive workflows.
Looking to get more out of Toodledo and Archive? With Make you can visually integrate Toodledo and Archive 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 ->Create Amazing Marvin tasks for new Toodledo tasks
Every time there is a new task in Toodledo, Make will automatically create a new task in Amazing Marvin.
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 ->+1
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 ->
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