OpenWeather to Amazon S3 integration

Connect OpenWeather to Amazon S3 and automatically sync your application data. Weld extracts data from OpenWeather, loads it into Amazon S3, and lets you transform the data using SQL or dbt, no custom scripts required.

4.8 on G2
OpenWeatherSource
WeldWeld
Amazon S3Warehouse
Weld · New sync
OpenWeatherSourceOpenWeatherConnected
Tables to sync
  • weather_forecast26 cols
  • daily_aggregation19 cols
  • Extract
  • Load
  • Keep in sync
Amazon S3DestinationAmazon S3Ready
openweather schema
  • openweather.weather_forecastSynced
  • openweather.daily_aggregationSyncing
OpenWeather tables
2
fields, typed
45
agent context included
MCP

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How it works

How to set up OpenWeather to Amazon S3 in Weld.
In the app, with the API or an agent.

Weld · New OpenWeather sync
OpenWeatherNew connectionOpenWeatherAuthorised
Connection nameopenweather
AuthorizeOpens OpenWeather to grant read access
Use cases

Why sync OpenWeather to Amazon S3?
Ready for analysis.

Centralizing your OpenWeather data in Amazon S3 lets you join it with other data sources for cross-platform analytics and deeper insights.

Build reliable dashboards and reports by querying OpenWeather data directly in Amazon S3 using SQL or your preferred BI tool.

  • Centralized data warehouse

    Bring OpenWeather data into Amazon S3 alongside other sources to create a single source of truth for your organization.

  • Automated reporting

    Replace manual exports and spreadsheet-based reporting with automated pipelines from OpenWeather to Amazon S3. Connect BI tools like Looker, Metabase, or Power BI.

Schema

What data can you sync?
Every OpenWeather table, keys intact.

Weld syncs the objects the OpenWeather connector exposes into Amazon S3, and you choose which tables and fields to include. The connector's docs list what is available.

Open the schema explorer
All 2 tables
  • weather_forecast
  • daily_aggregation
Weld MCP server

Ask your agent.
It queries Amazon S3 for you.

Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the OpenWeather context, finds the tables it needs and runs the query in Amazon S3.

Claude CodeOpus 5
>

How many weather_forecast rows do we have in Amazon S3?

Reading the OpenWeather context first, so the query uses the right tables and keys.

●weld·search_available_references
⎿raw.openweather.weather_forecast
+ 1 more OpenWeather tables
●weld·get_reference_schema
⎿weather_forecast · 26 columns
columns and types
●weld·run_query
⎿select count(*) from {{raw.openweather.weather_forecast}}
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from OpenWeather data in Amazon S3
>Ask about your OpenWeather data
Under the hood

Technical considerations.
What to expect.

Incremental syncing
Weld uses incremental syncing where supported by the OpenWeather API, loading only new and updated records to minimize data transfer and warehouse costs.
Schema handling
Weld automatically manages schema changes. If OpenWeather adds new fields, they're detected and added to the corresponding Amazon S3 tables.
Data freshness
Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
Security
All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
FAQ

Common questions.
About OpenWeather to Amazon S3.

Start syncing OpenWeather to Amazon S3.

Set up your OpenWeather data pipeline in minutes. No credit card required. Free for 14 days.

OpenWeatherSource
WeldWeld
Amazon S3Warehouse