Pricing

from $10.00 / 1,000 results

🌦️ Weather Underground Forecast & History Scraper

Clean Wunderground weather data for current conditions, forecast, and history. Great for analytics, automation, and Polymarket weather bet validation.

Pricing

from $10.00 / 1,000 results

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0.0

(0)

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newpo

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2 days ago

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🌦️ Weather Underground Scraper

Extract high-quality weather data from Weather Underground (Wunderground) for analytics, trading models, forecasting pipelines, and automation.

If you track prediction markets, this actor is built around a clear thesis: Wunderground is the single source of truth for Polymarket weather bets.

Why this scraper

Built for clean, structured weather datasets (one datapoint per row)
Fast API-backed extraction discovered from Wunderground state
Designed for production use on Apify
Supports both short-term forecasting and historical analysis

🔍 Supported modes

Choose one mode per run for clean outputs:

current — 📍 latest weather observation
forecast_hourly — 🕐 hourly forecast datapoints
forecast_daily — 📅 daily forecast datapoints
history_hourly — 🧾 historical hourly observations
history_daily — 📊 historical daily aggregates

🧩 Input fields

mode (required)
locations (e.g., Dallas, TX, Incheon, KR, RKSI:9:KR)
urls (optional Wunderground URLs)
historyStartDate, historyEndDate (for history modes)
units (m metric, e imperial)
language (default en-US)

📤 Output schema (row-based)

Common columns:

mode
locationQuery
locationName
scrapedAt
pointType
pointDate
pointTime
temperature
condition
humidity
wind
pressure
precip

Forecast modes may include:

precipChance

History daily mode may include:

temperatureAvg, temperatureMin, temperatureMax
humidityAvg, windAvg, pressureAvg
precipTotal, samples

Example: hourly forecast

{
  "mode": "forecast_hourly",
  "locations": ["Dallas, TX"],
  "units": "m"
}

Example: historical daily range

{
  "mode": "history_daily",
  "locations": ["Dallas, TX"],
  "historyStartDate": "2026-01-01",
  "historyEndDate": "2026-02-23",
  "units": "m"
}

Example: Polymarket weather validation workflow

Select market location and date window
Run history_hourly or history_daily
Use returned rows as your settlement/verification dataset

Built for weather intelligence, market validation, and repeatable data workflows on Apify.

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