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from $9.00 / 1,000 results

DBnomics Economic Series Scraper

Pull economic time series from DBnomics across providers like ECB, IMF, Eurostat, World Bank, and OECD. Every record carries provider, dataset, series code, frequency, unit, period, date, and a numeric value. Search by keyword or fetch a known series for macro panels and forecasting.

Pricing

from $9.00 / 1,000 results

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ParseForge

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9 hours ago

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📈 DBnomics Economic Series Scraper

🚀 Pull economic time series in seconds. Turn any DBnomics series into clean dated observations with provider, dataset, frequency, unit, and value, ready for your model or dashboard.

DBnomics aggregates public economic statistics from 93 official providers into one consistent structure. This Actor reads that structure and hands you back one tidy row for every observation, so a 50 year GDP series becomes 50 dated rows you can chart, join, or load straight into a notebook.

Coverage spans exchange rates, inflation, GDP, unemployment, population, central bank policy rates, trade, and thousands of other indicators. Fetch a single known series by its ID, or run a keyword search that resolves matching datasets into their underlying series automatically.

🎯 Target Audience	💡 Primary Use Cases
Economists and analysts	Build and refresh macro indicator panels
Data scientists and quants	Feed time series into forecasting and backtests
Fintech and research teams	Track inflation, rates, and currency moves
Journalists and educators	Pull official figures with full provenance
Dashboard builders	Power live economic charts and reports

📋 What the DBnomics Economic Series Scraper does

This Actor talks to the public DBnomics API and returns economic observations as flat rows. For each series it zips the period array, the start day, and the value array into individual records, each carrying the provider, dataset, series code, series name, frequency, and unit. You can target one exact series, several known series from a curated list, or a free text search that pulls observations from the top matching datasets.

📊 Data fields

Each record includes: dataset, datasetName, date, frequency, period, provider, results, scrapedAt, seriesCode, seriesName, unit, value. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🚀 How to use

Sign up for a free Apify account using this link.
Open the DBnomics Economic Series Scraper in the Apify Console.
Pick a series from the dropdown, paste a custom series ID, or type a search query.
Set maxItems and, for searches, maxSeriesPerSearch, then click Start.
Watch the run finish and open the results to view or pull your observations.

🔗 Recommended Actors

💡 Pro Tip: browse the complete ParseForge collection.

⚠️ Disclaimer: independent tool, not affiliated with DBnomics or any data provider. Only publicly available data is collected.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.

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