Energy Commodity Prices on Trading Economics
Collect commodity market quotes in Trading Economics’ Energy category for energy traders, procurement teams, and analysts tracking fuel prices. Results can include name, market type, last price, daily change, unit, and reference date. Change the marketType or category input to adapt the market table.
Input
Output fields
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The Trading Economics Market, Indicator & Calendar Scraper Actor is ready to run with the inputs already set for "Energy Commodity Prices on Trading Economics". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Energy Commodity Prices on Trading Economics" task
The Trading Economics Market, Indicator & Calendar Scraper Actor will start running based on the input automatically. You can also change all the input fields, like mode, market type (mode=markets), and more, to match your specific use case.
Receive the "Energy Commodity Prices on Trading Economics" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as record type, name, country, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Energy Commodity Prices on Trading Economics" task via API.
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The energy prices task collects the Trading Economics Energy commodities table, including names, prices, daily changes, units and reference dates.
The energy prices task can return records such as Crude Oil and Brent, with prices in USD/Bbl in the sample data.
Each energy prices task record can include the market name, last price, daily change, daily percentage change, unit and reference date.
The energy prices task is set to commodities in the Energy category; change the market type or category to adapt the market table.
On the Free plan, the energy prices task's result charge is at most $0.05 for 50 results, plus the Actor start charge and Apify compute usage.
Results from the energy prices task land in a dataset that can be downloaded as JSON, CSV, Excel, XML, RSS or an HTML table.
You can run the energy prices task on an Apify Schedule, through the Apify API, or from integrations such as Zapier, Make and n8n.