Pricing

from $4.40 / 1,000 soil screening results

USDA SSURGO Soil Suitability, Hydric & Septic Screener API

Screen any US coordinate against the USDA SSURGO soil survey: map unit, percent-weighted soil components, prime-farmland class, hydric rating, drainage, slope, and septic, foundation, road and solar-array limitations with the limiting reasons. Minority hydric components are reported, not hidden.

Pricing

from $4.40 / 1,000 soil screening results

Rating

0.0

(0)

Developer

Kyle Maloney

Actor stats

Bookmarked

Total users

Monthly active users

6 days ago

Last modified

Categories

Real estate

Developer tools

Agents

You can access the USDA SSURGO Soil Suitability, Hydric & Septic Screener API 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "assets": [
10        {
11            "lat": 42.110415,
12            "lon": -93.560137,
13            "label": "Story County IA parcel - dominant soil NOT hydric, 5% hydric inclusion",
14        },
15        {
16            "lat": 42.45,
17            "lon": -93.55,
18            "label": "Hamilton County IA parcel - prime farmland if drained, all-hydric map unit",
19        },
20        {
21            "lat": 34.929063,
22            "lon": -77.345001,
23            "label": "Onslow County NC parcel - well-drained sand, best-case septic",
24        },
25        {
26            "lat": 30.84231,
27            "lon": -97.29329,
28            "label": "Bell County TX parcel - shrink-swell clay, foundation risk",
29        },
30        {
31            "lat": 39.7392,
32            "lon": -104.9903,
33            "label": "Denver CO infill site - urban land complex",
34        },
35        {
36            "lat": 61.566941,
37            "lon": -150.422585,
38            "label": "Matanuska-Susitna AK parcel - slope stability, 4% hydric depressions",
39        },
40    ],
41    "interpretations": [
42        "septic_tank_absorption_fields",
43        "dwellings_with_basements",
44        "dwellings_without_basements",
45        "small_commercial_buildings",
46        "local_roads_and_streets",
47        "shallow_excavations",
48        "solar_arrays_ballast_anchor",
49        "solar_arrays_soil_anchor",
50    ],
51}
52
53# Run the Actor and wait for it to finish
54run = client.actor("malonestar/ssurgo-soil-suitability-screener").call(run_input=run_input)
55
56# Fetch and print Actor results from the run's dataset (if there are any)
57print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
58for item in client.dataset(run.default_dataset_id).iterate_items():
59    print(item)
60
61# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

USDA SSURGO Soil, Hydric & Septic Suitability API API in Python

The Apify API client for Python is the official library that allows you to use USDA SSURGO Soil Suitability, Hydric & Septic Screener API API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

USDA SSURGO Soil Suitability, Hydric & Septic Screener API API in JavaScript

USDA SSURGO Soil Suitability, Hydric & Septic Screener API API through CLI

USDA SSURGO Soil Suitability, Hydric & Septic Screener API OpenAPI definition

USDA SSURGO Soil Suitability, Hydric & Septic Screener API API

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