Pricing

Pay per usage

NASA Near Earth Objects Scraper

Scrape Near Earth Object (NEO) asteroid data from NASA NeoWs API including close approach dates, miss distances, estimated diameters, hazard status, and orbital information.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Compute Edge

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

Lead generation

You can access the NASA Near Earth Objects 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("compute-edge/nasa-neo-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

NASA Near Earth Objects Scraper API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include:

NASA Near Earth Objects Scraper API in JavaScript

NASA Near Earth Objects Scraper API through CLI

NASA Near Earth Objects Scraper OpenAPI definition

NASA Near Earth Objects Scraper API

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