Satellite Imagery Scene Finder (STAC): Sentinel-2, Landsat
Pricing
from $0.35 / 1,000 items
Find satellite scenes for an area and date range from public STAC catalogs such as Earth Search. Filter by bounding box, dates, collection and cloud cover; get one row per scene with date, cloud %, platform, footprint and asset download links. Pay per scene row.
You can access the Satellite Imagery Scene Finder (STAC): Sentinel-2, Landsat programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "stacRoot": "https://earth-search.aws.element84.com/v1",10 "collections": ["sentinel-2-l2a"],11 "bbox": [12 -122.6,13 37.6,14 -122.2,15 37.9,16 ],17 "datetime": "2024-06-01T00:00:00Z/2024-06-30T23:59:59Z",18 "limit": 100,19 "maxResults": 25,20}21
22# Run the Actor and wait for it to finish23run = client.actor("datamule/stac-catalog-extractor").call(run_input=run_input)24
25# Fetch and print Actor results from the run's dataset (if there are any)26print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")27for item in client.dataset(run.default_dataset_id).iterate_items():28 print(item)29
30# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Satellite Imagery Scene Finder (STAC): Sentinel-2, Landsat API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: