You can access the Nps Parks Scraper 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
10# Run the Actor and wait for it to finish
11run = client.actor("velvety_bedbug/nps-parks-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Nps Parks Scraper API in Python

The Apify API client for Python is the official library that allows you to use Nps Parks Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Nps Parks Scraper API in JavaScript

Nps Parks Scraper API through CLI

Nps Parks Scraper OpenAPI definition

Nps Parks Scraper API

NPS National Parks Scraper

compute-edge/nps-parks-scraper

Scrape all US National Parks data from the National Park Service API including park details, locations, activities, entrance fees, and contact information.

Compute Edge

National Parks MCP server

agentify/national-parks-mcp-server

MCP Server for the National Park Service (NPS) API, providing real-time information about U.S. National Parks, including park details, alerts, and activities.

agentify

G2 Reviews & Products Scraper

automation-lab/g2-scraper

Scrape G2.com reviews, ratings, and product data. Extract NPS scores, reviewer sentiment, ease-of-use ratings, and competitive switching data from 5M+ reviews across 220K+ products. 3 modes: reviews, product search, category browse.

Stas Persiianenko

OpenStreetMap POI Extractor

automation-lab/openstreetmap-poi-extractor

Extract POIs from OpenStreetMap via Overpass API. Search by location + radius or bounding box. Filter by 20+ categories (restaurants, hotels, hospitals, parks, shops). Outputs name, coords, address, phone, website, opening hours. No API key needed.

Stas Persiianenko

G2 Reviews Scraper - No Proxy Needed

zhorex/g2-reviews-scraper

Extract G2 reviews, ratings, and product data via G2's public Elasticsearch API. No browser, no proxy, no Kasada issues. 29 fields per review including NPS, sentiment, and switching data. 3 modes: reviews, product search, category browse. $5/1K reviews.