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Meltano

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Meltano is an open-source, CLI-first ELT platform with 600+ connectors, GitOps workflows, and native dbt integration for data pipeline management.

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Meltano is a versatile, open-source ELT engine that gives data engineers full control and visibility over their extract and load pipelines.

Key Features:

  • 600+ Connectors - Access databases, SaaS APIs, raw files, and custom sources via the Meltano Hub.
  • CLI and Version Control - Manage pipelines as code with Git-based workflows and reproducible configs.
  • Custom Connectors - Build your own extractors and loaders with the Meltano SDK for niche sources.
  • dbt Integration - Orchestrate dbt transforms alongside your extract and load steps in one pipeline.
  • Cost-Effective - Pay only for workloads you run, using the open-source engine; hosting and provider costs are separate.
  • Extensible - Add Python scripts, custom utilities, and third-party tools to your pipeline.

Whether you're centralizing data movement, building custom integrations, or orchestrating end-to-end ELT, Meltano provides a flexible, code-first platform.

Web scraping workflow

How to use Meltano in a web scraping pipeline

Meltano coordinates extraction and loading primarily through Singer taps and targets. It can move already collected records from a supported source into the destination used for analysis.

A practical workflow

  1. A separate scraper writes its output to a database, API or files compatible with the selected tap.
  2. Configure the tap and target, choose streams and run the integration with the relevant state and schema settings.
  3. Inspect the load outcome, then let a separate transformation stage build cleaned tables from the imported data.

When it fits

Use it when a scraping application's outputs need a repeatable connector-based path into another platform. Verify each plugin's behavior rather than assuming all sources offer the same incremental or deletion semantics.

Boundaries

Meltano's integration framework does not itself supply a browser or site-specific extraction rules. A custom website may require a separate scraper or a deliberately implemented tap. Keep credentials, run state and destination write policy controlled, and retain provenance so downstream users can identify which collection produced each record.

Categories:
Features:
Open SourceETL PipelinePython SDKWorkflow AutomationCustom ConnectorsVersion Control

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Repository

meltano/meltano

  • Stars

    2.7K
  • Forks

    273
  • Last commit

    2026-10-13
  • License

    MIT
  • Language

    Python

Metrics recorded 2026-10-16

Repository details

License source: Repository license file

View Repository

Sources

github.com

Verified against the meltano/meltano repository and the PyPI package.