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from $5.50 / 1,000 results

USGS Bedrock Geology & Lithology Risk Screener

Point-in-polygon screening against the USGS State Geologic Map Compilation. Returns geologic unit, formation names, age hierarchy and full lithology, plus 8 hazard flags: asbestos, karst, acid rock drainage, expansive soil, radon, loess, soft ground, landslide parent, and rippability.

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from $5.50 / 1,000 results

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Developer

Kyle Maloney

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10 days ago

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You can access the USGS Bedrock Geology & Lithology Risk Screener 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 Integrations settings 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": 37.187,
12            "lon": -86.1,
13            "label": "Mammoth Cave, KY - Mississippian limestone (karst hidden behind a generic generalized lithology)",
14        },
15        {
16            "lat": 36.38,
17            "lon": -120.75,
18            "label": "Clear Creek, CA - serpentinite (naturally-occurring asbestos)",
19        },
20        {
21            "lat": 42.15,
22            "lon": -123.7,
23            "label": "Josephine Ophiolite, OR - peridotite (ultramafic, hierarchy-only signal)",
24        },
25        {
26            "lat": 27.85,
27            "lon": -81.95,
28            "label": "Bone Valley, FL - phosphorite (radon parent rock)",
29        },
30        {
31            "lat": 39.9,
32            "lon": -102.5,
33            "label": "Eastern Colorado plains - Peoria loess (collapsible soil)",
34        },
35        {
36            "lat": 39.05,
37            "lon": -108.3,
38            "label": "Grand Mesa, CO - mapped landslide and colluvial deposits",
39        },
40        {
41            "lat": 32.4,
42            "lon": -87.3,
43            "label": "Alabama Black Belt - Mooreville Chalk, Coastal Plain Province",
44        },
45        {
46            "lat": 33.3,
47            "lon": -113.6,
48            "label": "La Posa Plain, AZ - playa and alluvial fines (soft compressible ground)",
49        },
50        {
51            "lat": 61.2,
52            "lon": -149.9,
53            "label": "Anchorage, AK - outside SGMC coverage (demonstrates the null-not-false contract)",
54        },
55    ],
56    "bufferMeters": 500,
57    "maxResults": 1000,
58}
59
60# Run the Actor and wait for it to finish
61run = client.actor("malonestar/usgs-bedrock-geology-lithology-screener").call(run_input=run_input)
62
63# Fetch and print Actor results from the run's dataset (if there are any)
64print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
65for item in client.dataset(run["defaultDatasetId"]).iterate_items():
66    print(item)
67
68# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Bedrock Geology & Asbestos Risk Screener API API in Python

The Apify API client for Python is the official library that allows you to use USGS Bedrock Geology & Lithology Risk Screener API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

USGS Bedrock Geology & Lithology Risk Screener API in JavaScript

USGS Bedrock Geology & Lithology Risk Screener API through CLI

USGS Bedrock Geology & Lithology Risk Screener OpenAPI definition

USGS Bedrock Geology & Lithology Risk Screener API

USGS Karst Sinkhole Risk Screener — Geohazard by Coordinate

malonestar/karst-sinkhole-risk-screener

Karst & sinkhole-risk screener: batch point-in-polygon over the USGS national CONUS_Karst compilation (7 layers: carbonate, evaporite, sandstone karst + pseudokarst). Returns in_karst_terrain, karst type, near-surface vs buried, rock unit, and an editorial sinkhole-risk tier per coordinate.

Kyle Maloney

USGS Landslide Proximity Screener — Hazard by Coordinate

malonestar/usgs-landslide-proximity-screener

Landslide proximity & hazard screener: per-coordinate point-in-polygon + nearest mapped landslide over the 680k-feature USGS US Landslide Inventory. Batch lat/lon; get in_mapped_landslide, count within radius, nearest type/distance & a hazard flag.

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ParseForge

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Query the USDA NRCS SSURGO soil database via Soil Data Access REST API. Returns denormalised map unit, component, and horizon rows with typed soil properties: pH, texture fractions, organic matter, available water capacity, cation exchange capacity, drainage class, and taxonomy.

BowTiedRaccoon

Usgs Data Info Parser Spider

getdataforme/usgs-data-info-parser-spider

The Usgs Data Info Parser Spider efficiently extracts and parses data from USGS URLs, offering structured JSON output. It features automated extraction, customizable parameters, scalable performance, and user-friendly setup, ideal for market research, academic projects, and business automation....

GetDataForMe

USGS Seismic Risk Profiler (Official API)

saint_person/usgs-seismic-risk-profiler

Analyze earthquake risk and geological hazards for any US location using official USGS data. Stable API, no auth required.

saint person

USGS NWIS Streamflow & Gage Height Monitor API by Site/State

malonestar/usgs-nwis-streamflow-monitor

USGS NWIS streamflow API: pull real-time river discharge (cfs) and gage height (ft) by site number or state. Flattens nested USGS WaterML-JSON into clean rows with change deltas and flood-stage threshold alerts. Keyless USGS Water Services data for irrigation, utilities, flood risk & hydrology.

Kyle Maloney

USGS Earthquake Search

ryanclinton/usgs-earthquake-search

USGS Earthquake Search queries the United States Geological Survey (USGS) FDSN Event Web Service to retrieve structured earthquake data from the world's most comprehensive seismic event database.