RVshare Scraper

RVshare Scraper collects RV rental listings from RVshare.com and turns them into structured data for market research, competitor analysis, and rental-directory building. Provide a search results URL, run the Actor, and export RV name, price, ratings, reviews, images, location, sleeping capacity, brand, model, and year to JSON, CSV, Excel, or your preferred integration. Use it to monitor rental pricing, compare listings, and schedule recurring collection. Listings are billed at $10 per 1,000.

What can you automate with RVshare Scraper?

• Build rental directories — collect RV listings with price, location, images, and capacity from any search URL.
• Track rental pricing — capture nightly price, rating, and review counts across listings.
• Analyze the rental market — compare brands, models, years, and capacities in a given area.
• Collect full-size images — export listing image galleries alongside listing metadata.
• Schedule recurring collection — run daily or weekly to catch new or repriced listings.
• Export to your pipeline — hand off JSON, CSV, or Excel through the Apify API or webhooks.

Who is this scraper for?

Team	Workflow
Market researchers	Map RV rental supply, pricing, and capacity by location
Competitor analysts	Compare listings, ratings, and nightly prices in a region
Rental-directory builders	Assemble structured listing data for a directory or marketplace
Pricing-intelligence teams	Schedule runs and track price changes over time
Automation builders	Trigger runs from the API or webhooks for recurring pipelines

What data can you collect from RVshare?

Data group	Example fields	How it helps
Listing identity	id, url, name, brand, model, year	Stable keys and titles for directory building
Pricing and availability	price, priceCurrency, pricePer, availability	Nightly-rate tracking and availability monitoring
Ratings and reviews	rating, reviewCount	Quality and popularity signals
Visuals	imageUrl, images	Listing image galleries
Location and capacity	location, sleeps, description	Area and capacity analysis

How to use RVshare Scraper

1. Open the Actor on Apify.
2. Paste one or more RVshare search result URLs.
3. Set a maxItems limit to cap output.
4. Optionally configure the proxy settings.
5. Run the Actor, then export results to JSON, CSV, Excel, or the API.

{
  "startUrls": [{ "url": "https://rvshare.com/rv-rental?location=Palm+Bay%2C+FL" }],
  "maxItems": 50,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

Example workflow

Build a weekly RV pricing report for one market

1. Run the Actor on a fixed search URL every Monday.
2. Keep listings that changed nightly price or availability in your downstream step.
3. Deduplicate on id, then push the result to a spreadsheet or database.
4. Compare pricing across brands and capacities for the target location.

Automate and integrate your results

• Schedule runs daily or weekly from the Apify Schedules tab, or create one schedule per search URL.
• Webhooks can notify Slack, Zapier, or your warehouse when a run succeeds.
• Connect results to Google Sheets, Make, Zapier, a CRM, or cloud storage.
• Deduplicate downstream using the stable id; use maxItems to cap output.

Input reference

Field	Type	Required	Default	What it controls
startUrls	array	Yes	—	RVshare search result URLs to collect from
maxItems	integer	No	—	Maximum listings to collect (0 = unlimited)
proxyConfiguration	object	No	—	Proxy settings for reliable collection

Output example

{
  "id": "1495259",
  "url": "https://rvshare.com/rvs/details/1495259",
  "name": "New Catalina rv is ready for your next adventure.",
  "brand": "Coachmen RV Catalina Summit Series 8 231MKS",
  "model": "Coachmen RV Catalina Summit Series 8 231MKS",
  "year": 2024,
  "description": "Sleeps 6 | 0.5 miles from Palm Bay, FL",
  "price": 105,
  "priceCurrency": "USD",
  "pricePer": "Per night",
  "availability": "In Stock",
  "rating": 4.9,
  "reviewCount": 10,
  "imageUrl": "https://imagedelivery.net/.../6391f4d09923fe39c2ed767d51a85150.jpeg/fit=cover",
  "location": "0.5 miles from Palm Bay, FL",
  "sleeps": "Sleeps 6"
}

How much does it cost to scrape RVshare?

RVshare Scraper uses pay-per-event pricing. You are billed per result you receive.

• apify-default-dataset-item — $10 per 1,000 RV listings written to the dataset.

Each listing written to the dataset counts as one result. Apify subscription-plan discounts apply automatically. A small one-time apify-actor-start event ($0.00005) is also billed per run.

Reliability and responsible use

• A residential proxy is recommended and enabled by default for reliable collection.
• Some fields may be empty when the listing page does not provide them (for example, a blank location).
• Collection is intended for public listing data within your lawful-use scope; you remain responsible for complying with the site's terms.

Frequently asked questions

Can I collect listings from any RVshare search?

Yes. Paste any RVshare search result URL into startUrls, and the Actor paginates through the results automatically.

What counts as one result?

Each RV listing written to the dataset counts as one result, billed at $10 per 1,000 listings.

Why are some fields empty?

Some listings omit fields such as location. When a page does not provide a value, that field is left empty rather than invented.

How do I avoid duplicate records?

Key your pipeline on the stable id field. Use maxItems to cap output during testing.

Do I need a proxy?

A residential proxy is recommended and enabled by default for reliable collection.

Related Scraptivo automations

• Outdoorsy Scraper — collect RV and outdoor rental listings from Outdoorsy.
• TripAdvisor Reviews Scraper — collect reviews and ratings from TripAdvisor.
• Booking.com Scraper — collect hotel listings, prices, and availability.
• Rightmove Scraper — collect UK property listings and prices.
• Redfin Scraper — collect real estate listings and market data.

Support and custom workflows

Need a different field, source, or delivery workflow? Contact Scraptivo at scraptivo@gmail.com. Include the Actor name, a sample URL, required fields, and expected volume so we can assess the request.