Pollen Count Scraper
Pricing
Pay per usage
Pollen Count Scraper
Pollen Count Scraper. Extract structured data with automatic pagination, proxy rotation, and JSON/CSV export. Pay only for results.
Pricing
Pay per usage
Rating
0.0
(0)
Developer
Donny Nguyen
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
4 hours ago
Last modified
Categories
Share
Scrape pollen counts and allergy forecasts from Pollen.com. Extract tree, grass, and weed pollen levels, allergy index values, predominant pollen types, and multi-day forecasts for any US ZIP code.
Features
- Query pollen data by ZIP code for precise local coverage
- Track tree, grass, and weed pollen levels separately
- Multi-day allergy forecasts up to 7 days ahead
- Identify predominant pollen types causing allergies
- Support for multiple ZIP codes per run
- Automatic fallback data for consistent output
Use Cases
Healthcare providers use this actor to advise allergy patients about upcoming high-pollen days. Pharmaceutical companies monitor pollen trends to forecast demand for antihistamines and allergy medications. Outdoor recreation businesses plan activities around low-pollen windows to improve customer experiences. Environmental researchers track pollen seasons over time to study the effects of climate change on plant biology.
Input Configuration
| Field | Type | Description | Default |
|---|---|---|---|
| zipCodes | array | US ZIP codes to check | ["75024", "10001"] |
| forecastDays | integer | Number of forecast days | 5 |
Output Format
Each result includes: zipCode, location, allergyIndex, treePollenLevel, grassPollenLevel, weedPollenLevel, predominantPollen, forecast, date, url, and scrapedAt.
Integration and Export
Results are stored in the Apify dataset and can be exported to JSON, CSV, XML, or Excel. Use the Apify API to integrate pollen data into health apps, patient portals, or environmental dashboards. Connect with Google Sheets, Zapier, or Make for automated daily allergy reports.
Cost Estimation
This actor uses pay-per-event pricing at $0.30 per 1,000 results. Checking 10 ZIP codes with a 5-day forecast produces approximately 50 data points, costing well under $0.02. Memory usage ranges from 256 MB to 4096 MB depending on the number of ZIP codes processed.
Tips for Best Results
Pollen levels vary significantly by region and season, so check ZIP codes relevant to your specific area of interest. Tree pollen peaks in spring, grass pollen in summer, and weed pollen in fall. Schedule daily runs using Apify schedules during allergy season for consistent monitoring. Combine with the Air Quality Index Scraper and Weather Forecast Scraper for comprehensive environmental health data across your target regions.
