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Financial Modeling Prep

Business software

Built when you ask for it

Sync Financial Modeling Prep statement, quote, and ratio data into your warehouse. Ingest builds this connector the first time a customer asks for it, then keeps the tables current in a data warehouse you own, on the schedule you choose.

The Financial Modeling Prep connector syncs your financial statements data into analytics-ready tables in your data warehouse. Pull statements, quotes, profiles, and ratios from the Financial Modeling Prep API, with Ingest handling auth, pagination, and retries so the tables stay current.

What you would get

Each of these arrives as its own table, kept current on the schedule you choose:

  • Statements
  • Quotes
  • Profiles
  • Ratios

How it gets built

  1. Choose Financial Modeling Prep when you set up a pipeline, with the warehouse it goes to and a schedule.
  2. Ingest reads Financial Modeling Prep's documentation, and you choose the tables you want.
  3. Ingest builds the connector and tests it against Financial Modeling Prep itself.
  4. A person at Ingest reviews and publishes it, and your pipeline starts on its own.

What you will need

API key, sent as a query parameter: ?apikey=. Sign up for a free plan; the key appears on your Dashboard under API Keys.

You enter it once, in a form in Ingest, and it is kept in a secret store set aside for your organization.

Questions

Does Ingest have a Financial Modeling Prep connector?
Not as a finished connector yet. Ingest builds it from Financial Modeling Prep's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
Which warehouses can Financial Modeling Prep data go to?
Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL and Snowflake, in an account you own.
Do I need to write code?
No. Ingest builds, runs and maintains the connector. Someone with access to your warehouse connects it once, following a short guide.

Financial Modeling Prep API documentation: https://site.financialmodelingprep.com/developer/docs

Setting up the destination is its own short guide, one per warehouse or lake: Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL, Snowflake.

Other sources Ingest connects for SaaS teams: Asana, Jira, Airtable, Clockify, Facebook Ads, Frankfurter.

Request Financial Modeling Prep