Factorial Recipes
No limits in how Factorial may be connected with your services and APIs using a time-saving approach.
These recipes may help you to keep information in sync between your Factorial HR account and your databases or APIs. Some ideas:
- Create employees fetching information from your database
- Export your employees leaves to your CRM
- Build and share custom reports that Factorial may not include
- Bulk attendance information from other sources
- …and much more!
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Showing 41 recipes
- Airtable to Factorial employees
List records from Airtable table using them to create employees using Factorial HR API
- Amazon S3 CSV file to Factorial employees
Read CSV file entries from Amazon S3 bucket using them to create employees using Factorial HR API
- AWS Redshift to Factorial employees
Read rows from AWS Redshift table using them to create employees using Factorial HR API
- Clickhouse to Factorial employees
Read rows from Clickhouse table using them to create employees using Factorial HR API
- Factorial leaves to Airtable
Get employee leaves from Factorial HR API using them to create new records on Airtable table
- Factorial leaves to Amazon S3 CSV file
Get employee leaves from Factorial HR API using them to create CSV file entries in Amazon S3 Bucket
- Factorial leaves to AWS Redshift
Get employee leaves from Factorial HR API using them to insert rows into AWS Redshift table
- Factorial leaves to Clickhouse
Get employee leaves from Factorial HR API using them to insert rows into Clickhouse table
- Factorial leaves to Firebase Realtime Database
Get employee leaves from Factorial HR API using them to insert items into Firebase Realtime Database
- Factorial leaves to Google BigQuery
Get employee leaves from Factorial HR API using them to insert rows into Google BigQuery table
- Factorial leaves to Google Sheets
Get employee leaves from Factorial HR API using them to insert rows into Google Sheets table
- Factorial leaves to Google Storage CSV file
Get employee leaves from Factorial HR API using them to create CSV file entries in Google Storage Bucket
- Factorial leaves to GraphQL
Get employee leaves from Factorial HR API using them to call a GraphQL mutation
- Factorial leaves to Kafka
Get employee leaves from Factorial HR API using them to send Kafka topic messages
- Factorial leaves to Microsoft SQL Server
Get employee leaves from Factorial HR API using them to insert rows into Microsoft SQL Server table
- Factorial leaves to MongoDB
Get employee leaves from Factorial HR API using them to insert documents into MongoDb collection
- Factorial leaves to MySQL
Get employee leaves from Factorial HR API using them to insert rows into MySQL table
- Factorial leaves to Oracle
Get employee leaves from Factorial HR API using them to insert rows into Oracle table
- Factorial leaves to PostgreSQL
Get employee leaves from Factorial HR API using them to insert rows into PostgreSQL table
- Factorial leaves to RabbitMQ
Get employee leaves from Factorial HR API using them to send RabbitMQ messages
- Factorial leaves to REST API
Get employee leaves from Factorial HR API using them to calls a REST API endpoint
- Factorial leaves to Segment
Get employee leaves from Factorial HR API using them to send Segment track event
- Factorial leaves to Snowflake
Get employee leaves from Factorial HR API using them to insert rows into Snowflake table
- Firebase Realtime Database to Factorial employees
Read items from Firebase Realtime Database using them to create employees using Factorial HR API
- Google BigQuery to Factorial employees
Read rows from Google BigQuery table using them to create employees using Factorial HR API
- Google Sheets to Factorial employees
Read rows from Google Sheets using them to create employees using Factorial HR API
- Google Storage CSV file to Factorial employees
Read CSV file entries from Google Storage bucket using them to create employees using Factorial HR API
- GraphQL to Factorial employees
Read a JSON array from one GraphQL API using them to create employees using Factorial HR API
- Microsoft SQL Server to Factorial employees
Read rows from Microsoft SQL Server table using them to create employees using Factorial HR API
- MongoDB to Factorial employees
Read documents from MongoDB collection using them to create employees using Factorial HR API
- MySQL to Factorial employees
Read rows from MySQL table using them to create employees using Factorial HR API
- Notion pages to Factorial employees
Get Notion pages using them to create employees using Factorial HR API
- Oracle to Factorial employees
Read rows from Oracle table using them to create employees using Factorial HR API
- PostgreSQL to Factorial employees
Read rows from PostgreSQL table using them to create employees using Factorial HR API
- Remote CSV file to Factorial employees
Read CSV entries from a remote file using them to create employees using Factorial HR API
- REST API to Factorial employees
Read a JSON array from one REST API using them to create employees using Factorial HR API
- Send email with Factorial leaves information
Get employee leaves from Factorial HR API using them to send email messages
- Send Slack messages with Factorial leaves information
Get employee leaves from Factorial HR API using them to send Slack messages
- Snowflake to Factorial employees
Read rows from Snowflake table using them to create employees using Factorial HR API
- Tinybird to Factorial employees
Get Tinybird CSV endpoint entries using them to create employees using Factorial HR API
- Webhook to Factorial employees
Uses a custom Webhook to read items payload using them to create employees using Factorial HR API
FAQs
These recipes are a good starting point for you to build your own YepCode processes and solve your integration and automation problems.
YepCode is a SaaS platform that allows to create, execute and monitor integrations and automations using source code in a serverless environment.
We like to call it the Zapier for developers, since we bring all the agility and benefits of NoCode tools (avoid server provisioning, environment configuration, deployments,...), but with all the power of being able to use a programming language like JavaScript with a NodeJS engine.
You only have to fill the sign up form and your account will be created with our FREE plan (no credit card required).
YepCode has been created with a clear enterprise approach (multi-tenant environment, team management, high security and auditing standards, IdP integrations, on-premise options,...) so we can be the Swiss army knife of any team of engineering, especially those that need to extract or send information to external systems, and where a certain dynamism or adaptation to change is necessary in that process.
Sure! You just need to do some configuration to allow YepCode servers to connect to that service. Check our docs page to get more information.