Ylem documentation
  • 🗒️General information
    • Introduction to Ylem
    • Quick start guide
    • Release notes
  • 🔬Open-source edition
    • Installation
    • Usage of Apache Kafka
    • Task processing architecture
    • Configuring integrations with .env variables
  • 💡Integrations
    • Connecting an integration
    • Library of integrations
      • Amazon Redshift
      • Apache Kafka
      • APIs
      • Atlassian Jira
      • AWS Lambda
      • AWS RDS
      • AWS S3
      • ClickHouse
      • ElasticSearch
      • E-mail
      • Google Big Query
      • Google Cloud SQL
      • Google Pub/Sub
      • Google Sheets
      • Immuta
      • Incident.io
      • Jenkins
      • Hubspot
      • Microsoft Azure SQL
      • MySQL
      • OpenAI ChatGPT
      • Opsgenie
      • PostgreSQL
      • PlanetScale
      • RabbitMQ
      • Salesforce
      • Slack
      • Snowflake
      • Tableau
      • Twilio. SMS
      • WhatsApp (through Twilio)
    • Initial demo data source
  • 🚡Pipelines
    • Pipeline management
    • Tasks
      • Aggregator
      • API Call
      • Code
      • Condition
      • External trigger
      • Filter
      • For each
      • GPT
      • Merge
      • Notification
      • Query
      • Pipeline runner
      • Processor
      • Transformer
    • Running and scheduling pipelines
    • Library of templates
    • Environment variables
    • Mathematical functions and operations
    • Formatting of messages
  • 📈Statistics and profiling
    • Statistics of runs
    • Slow tasks
  • 📊Metrics
    • Metric management
    • Using previous values of a metric
  • 💼Use cases, patterns, templates, examples
    • Use cases
    • Messaging patterns
      • Datatype Channel
      • Message Dispatcher
      • Messaging Bridge
      • Message Bus
      • Message Filter
      • Message Router
      • Point-to-Point Channel
      • Publish-Subscribe Channel
      • Pull-Push
    • Functional use cases
      • Streaming from Apache Kafka and messaging queues
      • Streaming from APIs
      • Streaming from databases
      • Data orchestration, transformation and processing
      • Usage of Python and Pandas
      • KPI Monitoring
      • OKRs and custom metrics
      • Data Issues & Incidents
      • Reporting
      • Other functional use cases
    • Industry-specific use cases
      • Finance and Payments
      • E-commerce & Logistics
      • Customer Success
      • Security, Risk, and Anti-Fraud
      • Anti-Money Laundering (AML)
  • 🔌API
    • OAuth clients
    • API Reference
  • 👁️‍🗨️Other resources
    • FAQ
    • Our blog on Medium
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  • Streaming from API to API

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  1. Use cases, patterns, templates, examples
  2. Functional use cases

Streaming from APIs

PreviousStreaming from Apache Kafka and messaging queuesNextStreaming from databases

Last updated 1 year ago

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For streaming data from APIs, you need to read data in your pipeline with the "" task:

When the pipeline is triggered, this task will make an API request to the API Endpoint, you have configured in your and use the response data for the entire pipeline.

Some examples of the streaming pipelines from the API:

Streaming from API to a database

Streaming from API to API

Of course, the pipelines above are just examples and your real pipelines will most probably be more complicated and will contain more transformation and processing of data:

💼
API call
API integration