Pricing

from $5.00 / 1,000 listings

Outdoorsy Scraper

Extract listings from outdoorsy.com from multiple search URLs. Get name, listing_urls, owner_url, vehicle_year, vehicle_year, and more — perfect for price monitoring, inventory tracking, or market research.

Pricing

from $5.00 / 1,000 listings

Rating

0.0

(0)

Developer

Rigel Bytes

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

Lead generation

Travel

Integrations

You can access the Outdoorsy 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    "searchQueries": ["Los Angeles, CA"],
10    "searchUrls": ["https://www.outdoorsy.com/rv-search?address=Los%20Angeles%2C%20California%2C%20United%20States&date%5Bfrom%5D=2026-05-30&date%5Bto%5D=2026-05-31&page%5Blimit%5D=24&page%5Boffset%5D=0"],
11    "proxyConfiguration": {
12        "useApifyProxy": True,
13        "apifyProxyGroups": ["RESIDENTIAL"],
14        "apifyProxyCountry": "US",
15    },
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("rigelbytes/outdoorsy-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
23for item in client.dataset(run["defaultDatasetId"]).iterate_items():
24    print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Outdoorsy Scraper API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include:

Outdoorsy Scraper API in JavaScript

Outdoorsy Scraper API through CLI

Outdoorsy Scraper OpenAPI definition

Outdoorsy Scraper API

outdoorsy-scraper

scraptivo/outdoorsy-scraper

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