Connect File via HTTP to your datalake
Bring File via HTTP data into a central environment, updated at the frequency you set and ready for dashboards, AI and reports — without manual exports.
Limited access: Live extraction is enabled connector by connector, after validation with a real credential from your account. Contact support to get access.
Status of this connector
Limited access. Live extraction is enabled connector by connector, after validation with a real credential from your account. Contact support to get access.
The problem
Data that lives in File via HTTP (a CSV, JSON or XLSX published at a URL) usually stays isolated from the rest of the company. To analyze it with ERP, spreadsheets and other sources, someone exports and merges everything by hand — causing rework and risk of error.
How to connect File via HTTP
You configure the connection once, set the refresh frequency and the data starts arriving at your datalake organized in layers. This connector is under limited access — see the usage condition above before relying on it in your operation.
What you gain
- File via HTTP data centralized alongside other sources
- Scheduled ingestion at the frequency the business needs
- Organization in Bronze, Silver and Gold layers
- Dashboards in native BI and natural-language questions to AI
- Read prepared bases with Power BI, Excel and other tools
How ingestia.io helps
ingestia.io connects File via HTTP, databases, files, spreadsheets and systems into a single data platform, with scheduled ingestion and governance. After connected, you choose the destination: dashboards in native BI, natural-language questions to AI, scheduled reports, APIs or your current BI tool — all with a monthly plan and usage credits.
Does your company need to centralize data?
Take the ingestia.io Data Structure Simulator and find out which path makes the most sense to organize your sources, cut rework and build a reliable foundation for reports, dashboards and integrations.