Air Quality Scraper

hipersoft/air-quality-scraper

Get current air quality for any place name or coordinates: US & European AQI, PM2.5, PM10, ozone, NO2, SO2, CO, dust and UV, plus optional hourly series — as JSON, CSV or Excel for apps, dashboards, alerts and n8n.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per location scraped

$0.0004

Last rebuilt

Oct 26, 2026

Overview

Get live air quality for anywhere on Earth with the Air Quality Scraper. Enter place names or coordinates and export the US and European AQI, PM2.5, PM10, ozone, nitrogen dioxide, sulphur dioxide, carbon monoxide, dust and UV index for each — one clean row per location as JSON, CSV or Excel.

Built for health and wellness apps, smart-home and IoT dashboards, air-quality alerts, real-estate and travel tools, and environmental research, it turns messy pollutant readings into a structured dataset you can drop into any product or workflow.

What it does

🌍 Global coverage — air quality for any place name or latitude/longitude, worldwide.
🏭 Full pollutant panel — US AQI, European AQI, PM2.5, PM10, ozone, NO₂, SO₂, CO, dust and UV index.
🌱 Pollen ready — request grass, birch, alder and ragweed pollen where available.
⏱️ Current + hourly — a live snapshot plus an optional hourly forecast series.
📍 Name or coordinates — type "Delhi" or pass exact coordinates; mix both in one run.
📤 Export anywhere — JSON, CSV or Excel, or straight into an app, alert or dashboard.

Example output

{
  "name": "Delhi",
  "country": "India",
  "latitude": 28.65,
  "longitude": 77.23,
  "time": "2026-09-22T05:00",
  "usAqi": 168,
  "pm2_5": 91.4,
  "pm10": 142.7,
  "ozone": 38.0,
  "nitrogenDioxide": 44.1,
  "uvIndex": 6.2,
  "timezone": "Asia/Kolkata"
}

How to use it

Add place names (one per line) and/or exact coordinates.
Optionally adjust the current variables and add an hourly series.
Run, and download the results as JSON, CSV or Excel.

Input fields

Field	Description
Places (by name)	Place names to resolve and look up (e.g. Singapore, Delhi, Los Angeles).
Locations (by coordinates)	Exact `{name, latitude, longitude}` objects when you already know the coordinates.
Current variables	Which current-conditions metrics to include (AQI, PM2.5, ozone, UV…).
Hourly variables	Optional hourly series (leave empty for current conditions only).
Forecast days	Days of hourly data to fetch, 1–7 (affects the hourly series).
Timezone	`auto` for each location's local time, or an IANA name like `Asia/Singapore`.

Output fields

name, query, latitude, longitude, country, admin1, elevation, timezone, time, usAqi, europeanAqi, pm2_5, pm10, ozone, nitrogenDioxide, sulphurDioxide, carbonMonoxide, dust, uvIndex, ammonia, aerosolOpticalDepth, current, hourly, scrapedAt.

Popular use cases

Health & wellness apps — show a live AQI and pollutant breakdown by city.
Air-quality alerts — trigger notifications when PM2.5 or AQI crosses a threshold.
Smart-home & IoT dashboards — enrich indoor sensors with outdoor reference readings.
Real estate & travel — compare air quality across neighborhoods or destinations.
Research & analytics — build multi-city pollutant datasets for study and reporting.

FAQ

Do I need an account or key? No. Enter your places or coordinates and run.

Which pollutants are included? US AQI and European AQI plus PM2.5, PM10, ozone, nitrogen dioxide, sulphur dioxide, carbon monoxide, dust and UV — with pollen available in supported regions.

Can I get an hourly forecast, not just current conditions? Yes — add hourly variables (e.g. pm2_5, ozone) and set the number of forecast days.

Can I look up many cities at once? Yes — add as many place names or coordinate objects as you like; each returns its own row.

Can I export to Excel or Google Sheets? Yes — results download as JSON, CSV or Excel and integrate with apps, alerts and dashboards.

Structured global air-quality data — AQI, PM2.5, PM10, ozone, NO₂ and UV by place or coordinates — clean and export-ready for apps, alerts, dashboards and research.

Input

Field	Type	Description
`places` Places (by name)	array	Place names to look up, one per line (e.g. "Singapore", "Delhi", "Los Angeles"). Each name is resolved to coordinates automatically before its air quality is fetched. Use this OR the Locations field below (you can combine both).
`locations` Locations (by coordinates)	array	Exact coordinates as a list of objects: {"name": "HQ", "latitude": 1.29, "longitude": 103.85}. The optional name is used as a label; latitude and longitude are required. Use this when you already know the coordinates.
`current` Current variables	array	Current-conditions variables to include, one per line. Common options: us_aqi, european_aqi, pm2_5, pm10, ozone, nitrogen_dioxide, sulphur_dioxide, carbon_monoxide, dust, uv_index, ammonia, aerosol_optical_depth. Pollen (Europe): alder_pollen, birch_pollen, gr Default: `["us_aqi", "pm2_5", "pm10", "ozone", "nitrogen_dioxide", "su`
`hourly` Hourly variables (optional)	array	Optional hourly series variables, one per line (e.g. pm2_5, pm10, ozone, us_aqi). Leave empty to return only current conditions.
`forecastDays` Forecast days	integer	How many days of hourly forecast to fetch, from today forward (1–7). Only affects the hourly series. Default: `3`
`timezone` Timezone	string	Timezone for the returned timestamps. Use "auto" to match each location's local time, or an IANA name like "Asia/Singapore" or "UTC". Default: `"auto"`
`proxyConfiguration` Proxy (optional)	object	Optional proxy settings for the run. Not required — the data is fetched over plain HTTP. Default: `{"useApifyProxy": false}`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~air-quality-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "places": [
    "Singapore",
    "Delhi",
    "Los Angeles"
  ],
  "locations": []
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/air-quality-scraper").call(run_input={
    "places": [
        "Singapore",
        "Delhi",
        "Los Angeles"
    ],
    "locations": []
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/air-quality-scraper').call({
  "places": [
    "Singapore",
    "Delhi",
    "Los Angeles"
  ],
  "locations": []
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Location scraped Air quality returned for one location	$0.0004	$0.0002

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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