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US Drought Monitor Scraper

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US Drought Monitor Scraper

US Drought Monitor Scraper

Pull weekly US Drought Monitor severity statistics by area percent for the nation, any state, or a county. Returns map date, None and D0 to D4 coverage, valid start and end dates. Export to CSV, Excel, JSON, or XML for climate research.

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from $2.44 / 1,000 results

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ParseForge

ParseForge

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🌵 US Drought Monitor Scraper

🚀 Export weekly US Drought Monitor statistics in one run. Pull the national series, any state, or any county straight from the University of Nebraska Lincoln data service.

Turn the US Drought Monitor into clean, structured weekly records you can drop into a spreadsheet, a climate dashboard, or a research notebook. Pick an area of interest and a date range, and get one row per published map week with the share of land in each drought category.

Coverage matches what the US Drought Monitor publishes through the UNL data service: the country-wide CONUS and total series, every state by its FIPS code, and any county by its 5 digit FIPS code. Each week reports the percent of the area in None, D0 (abnormally dry), D1 (moderate), D2 (severe), D3 (extreme), and D4 (exceptional) drought.

🎯 Target Audience💡 Primary Use Cases
Climate and hydrology researchersBuild long weekly drought time series
Agriculture and commodity analystsWatch crop region dryness trends
Water utilities and policy teamsTrack conditions for planning and reporting
Journalists and data storytellersChart how drought shifts week to week

📋 What the US Drought Monitor Scraper does

This Actor calls the public US Drought Monitor area percent statistics service and returns one clean record per weekly map for the area you choose:

  • United States (national) — the CONUS and total series with None and D0 to D4 coverage.
  • State — pick a state and get its weekly drought breakdown.
  • County — supply a 5 digit county FIPS code for county level detail with county and state labels.

You choose the date range, the statistics type, and how many records come back, and every record carries a scrapedAt timestamp.

📊 Data fields

Each record includes: areaOfInterest, county, d0, d1, d2, d3, d4, fips, mapDate, none, scrapedAt, state, statisticFormatID, validEnd, validStart. All 15 field names come from a real production run, so what you see here is what lands in your dataset.

🚀 How to use

  1. Create a free Apify account using this sign-up link.
  2. Open the US Drought Monitor Scraper.
  3. Choose an aoi, or enter a countyFips for county level data.
  4. Set startdate, enddate, the statisticsType, and maxItems.
  5. Click Start and grab your results when the run finishes.

💡 Pro Tip: browse the complete ParseForge collection.

⚠️ Disclaimer: independent tool, not affiliated with the US Drought Monitor, the University of Nebraska Lincoln, USDA, or NOAA. 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.