Explore popular examples
These are just a glimpse of what you can achieve with Parabola
Calculating running total
Calculate a running total of values within a column of a table
Removing extra spaces
Automatically remove extra spaces from data points using the Find/Replace object
Use Google Geolocation to complete addresses and find zip codes
Accessing CoinMarketCap, Bittrex, and GDAX API data
Pull in data from various cryptocurrency using their public API endpoints
Automatically formatting numbers
Format numbers to round up or down, or to be displayed as currency
Decoding country codes
Decode international phone numbers to find the country that they correspond to.
Cleaning phone numbers
Clean phone numbers of unwanted characters, such as parentheses or plus signs
Expanding state abbreviations
Expand or contract US state abbreviations to create addresses
Separating name fields
Split full name fields into their constituent parts (first, last, etc.) while taking into account middle names/initials, prefixes, suffixes, and other quirks.
Parsing messy address data
Take incorrect or human entered address data, clean and parse it into a list of fields usable by another system. Even find and extract unit numbers.
Merging, cleaning, and parsing email lists
Take disparate email data sets and combine them into a single source of truth automatically. Remove duplicates and parse names into usable parts.
Automatic find / replace
Find and replace one or more characters based on a set of rules.
Join data points across multiple columns and insert characters between each entry
Score prioritize and dedupe leads based on your own criteria to make sure you only get in contact with the highest probability leads at a given company.
Finding the min or max of a table
Find the Min or Max of a data set to quickly summarize large reports
Removing duplicates from an email list
Use simple or complex rules to find and clean duplicates in an email list to ensure that the right people hear your message, and do not hear it twice.
Syncing email interaction data from a CSV into a CRM
Automatically track email engagement within your CRM to ensure that engaged leads are taken care of and disengaged leads are respected.
Extract words from data that has unwanted characters using RegEx
Automatic column splitting
Split columns into multiple pieces based on a delimiter.
Tracking a post on Product Hunt with a dashboard
Track and analyze your post on Product Hunt for actionable insights, a nice dashboard, and automatic lists of users who engaged with your post.
Custom user activation dashboard from event data
Create completely custom user activation metrics to display and a dashboard and keep your Customer Success team on track. Analyze cohorts and events.
Calculating growth rate
Easily calculate a growth rate across a range of numbers
Square item sales summary
Automatically track the daily breakdown of quantity sold and sales of each item you sell through your Square payment processing account.
Enrich contacts, leads, and customers with Clearbit without code
Use Clearbit without knowing code to enrich email addresses or domains and create profiles on your leads. Segment them for more effective campaigns.
Tables with if / else logic
Use if/else logic to automatically apply data labels or filter out new data as it comes in
Square credit card sales summary
Track the daily credit card sales at each of your business locations using Square for payment processing.
Filter rows based on one or more rules applied to any column
Automatic multi-column sorting
Sort your data based on one or more rules.
Combining data by stacking tables
Combine two data sets that have all identical columns.
Converting date formats
Standardize dates into a single format
Removing extra zeros
Remove zeros from the beginning, middle, or end of data points using RegEx
Compare and contrast multiple data tables
Quickly create a table of differences or similarities between two other tables. Combine lists or remove any entries in one list that exist in another.
Combining data (join)
Combine two data sets that share at least one common field/column.
Summarize data by grouping it into buckets based on one or more categories.
Compiling and sending survey results to a CRM automatically
Automatically compile survey results per contact and account, and keep current and historical results up to date in your CRM for accurate records.
Adding a sum column
Add a column to a table that sums all of the numerical cells in the same row. Useful for tabulating sales numbers or creating a balance sheet.
Sending email interaction data from a marketing automation tool into a CRM
Aggregate and update email interactions in your CRM by pulling in data from a marketing automation tool to keep your contacts segmented effectively.
Mapping from another dataset
Add data to your dataset by pulling in additional data from an external data source.
Deduping between two lists
Compare two lists and remove data from the first that exists in the second in order to prevent overlapping data.
Converting columns into rows
Convert rows with columns into multiple row entries, stacking all of the values into a single column.
Square device sales summary
Generate a daily summary of sales by payment type for each Square device used at your business locations.
Dedupe rows in a table
Remove duplicate rows from a table based on criteria that you supply. Choose how many duplicates to keep or merge duplicates.