Rover Scraper [$2💰] | Pet Sitters | Walkers | Reviews

Scrape pet sitters, dog walkers, and pet-care providers from Rover.com — the world's largest pet-sitting marketplace. This Actor is a Rover.com API alternative: point it at any city, state, or ZIP code and it returns structured JSON with sitter names, prices, ratings, reviews, repeat clients, neighborhood/city/state, distance, background-check status, Star Sitter badges, bios, service rates, response rates, and full profiles. Pay $0.002 per sitter and $0.0035 per review — no subscription, no official API required.

Main Use Cases

• Pet sitter lead generation — build targeted lists of local pet-care providers (name, profile URL, city, state, rating) for outreach and local directories
• Pet care market research — analyze Rover's marketplace at metro scale to size supply, spot price bands, and track how sitter density changes over time
• Dog boarding & sitting price comparison — compare per-night boarding, dog-walking, drop-in, and day-care rates across cities to benchmark pricing
• Pet services competition analysis — map who the top-rated, most-reviewed, and background-checked providers are in any neighborhood
• Rover review analysis — collect individual review text, ratings, reviewer names, and dates for sentiment and reputation research
• Franchise & site selection research — evaluate local pet-care supply when choosing where to open a facility, groomer, or day care

How It Works

Rover.com is a Next.js application that embeds all sitter and review data in a #__NEXT_DATA__ JSON blob inside the page HTML. This Actor uses CheerioCrawler (fast plain-HTTP requests + HTML parsing — no browser needed) and works in up to three passes:

1. Search pass — loads the Rover search page for your serviceType + location (or a pasted searchUrls link) and extracts sitter cards from the embedded JSON, with CSS-selector fallbacks.
2. Profile pass (optional) — visits each sitter's profile page to enrich records with bio, all service rates, response rate/time, badges, photos, and years of experience.
3. Reviews pass (optional) — scrapes individual reviews (rating, text, reviewer name, date) from each profile and stores them in a dedicated reviews dataset.

Results land in an Apify Dataset you can download as JSON, HTML, CSV, or Excel, or consume over the REST API / MCP. Because there's no browser rendering, runs are fast and cheap; a residential proxy can be enabled if Rover blocks your datacenter IP.

Build Pet Care Market Research Databases

Every sitter is returned as one structured record — the same fields that power Rover's own search and profile UI. Because we parse the embedded __NEXT_DATA__ payload (not plain HTML), you get numeric prices per night/visit, star ratings, review counts, repeat-client counts, exact distance in miles, background-check status, and Star Sitter badges — data that is hard to get reliably from shallow HTML scraping.

Run the same cities monthly to build a time-series pet-care supply database: watch price-per-night drift, top-rated-sitter churn, and which neighborhoods gain or lose vetted providers. The output plugs directly into spreadsheets, BI dashboards, and research reports.

Compare Dog Walking & Sitting Prices by City

Dog walking and pet-sitting rates vary dramatically by market — typical 30-minute walks run roughly $15–$30 in the US (higher in NYC, LA, and SF), boarding $35–$75 per night, and drop-in visits $20–$30. Scrape serviceType dog-walking, overnight-boarding, drop-in, or doggy-day-care across multiple cities and compare actual listed provider rates field-by-field: pricePerNight, services[].price, distanceMiles, rating, and reviewCount give you a real, current rate card per city without guesswork or third-party estimates.

Input

Field	Type	Required	Description
searchUrls	array	optional	Rover.com search-result URLs (leave empty to use serviceType + location)
serviceType	string	optional	One of overnight-boarding, overnight-traveling, dog-walking, drop-in, doggy-day-care, dog-training (default overnight-boarding)
location	string	optional	City, State or ZIP code to search near, e.g. New York, NY or 10001
maxItems	integer	optional	Max sitter profiles to scrape (1–500, default 20)
fetchProfiles	boolean	optional	Visit each sitter's profile for bio, rates, response rate (default true)
fetchReviews	boolean	optional	Collect individual reviews into the reviews dataset (default false — billed separately)
maxReviewsPerSitter	integer	optional	Max reviews per sitter when fetchReviews is on (default 5)
proxy	object	optional	Apify proxy configuration; enable residential if access is blocked

Output

Sitter records (default dataset, overview view):

Field	Type	Description
name	string	Sitter's display name
profileUrl	string	Full URL to the sitter's profile
profileId	string	Sitter's profile slug/ID
serviceType	string	Service code (e.g. overnight-boarding)
serviceTypeLabel	string	Human-readable service (e.g. "Dog Boarding")
pricePerNight	number	Base price in USD per night/visit
rating	number	Average star rating (0–5)
reviewCount	number	Number of reviews
repeatClients	number	Repeat-client count
neighborhood	string	Neighborhood name
city / state	string	City and state code
distanceMiles	number	Distance from search location
profilePhoto	string	Profile photo URL
backgroundChecked	boolean	Passed a background check?
starSitter	boolean	Has the Star Sitter badge?
bio	string	Sitter bio (profile pass)
responseRate	number	Response rate % (profile pass)
services	array	Per-service rates, e.g. [{ name, price, unit }]
scrapedAt	string	ISO timestamp of extraction

Review records (separate reviews dataset): sitterName, sitterProfileId, sitterProfileUrl, rating, text, reviewerName, date, scrapedAt.

Example Input JSON

{
  "serviceType": "overnight-boarding",
  "location": "New York, NY",
  "maxItems": 100,
  "fetchProfiles": true,
  "fetchReviews": true,
  "maxReviewsPerSitter": 5,
  "proxy": { "useApifyProxy": false }
}

Example Output JSON

{
  "name": "John C.",
  "profileUrl": "https://www.rover.com/members/john-c-wfh-dad/",
  "profileId": "john-c-wfh-dad",
  "serviceType": "overnight-boarding",
  "serviceTypeLabel": "Dog Boarding",
  "pricePerNight": 50,
  "rating": 5.0,
  "reviewCount": 43,
  "repeatClients": 15,
  "neighborhood": "Upper East Side",
  "city": "New York",
  "state": "NY",
  "distanceMiles": 2.4,
  "profilePhoto": "https://www.rover.com/cf-image-cdn/remote/images/people/APa6vVYN/sgziwdqwpq/original.jpeg",
  "backgroundChecked": true,
  "starSitter": true,
  "bio": "Dog lover with 5 years of experience...",
  "responseRate": 95,
  "services": [{ "name": "Dog Boarding", "price": 50, "unit": "night" }],
  "scrapedAt": "2026-01-15T10:30:00+00:00"
}

{
  "sitterName": "John C.",
  "sitterProfileId": "john-c-wfh-dad",
  "sitterProfileUrl": "https://www.rover.com/members/john-c-wfh-dad/",
  "rating": 5,
  "text": "John took wonderful care of our pup and sent updates daily.",
  "reviewerName": "Sarah M.",
  "date": "2025-11-02",
  "scrapedAt": "2026-01-15T10:31:00+00:00"
}

Integrations & Scheduling

This Actor runs on the Apify platform, so you get scheduling, a REST API, an MCP server, and native integrations with Zapier, Make (Integromat), n8n, LangChain, and custom webhooks out of the box. Feed the dataset directly into Google Sheets, Airtable, a CRM, or a BI tool.

Recommended: monthly pet market snapshot. Schedule a monthly run per target city/service type to build a longitudinal dataset of sitter supply, price-per-night trends, and top-rated providers. Because sitter availability and rates change constantly, a consistent monthly cadence gives you clean, comparable slices over time.

Related Actors

• Yelp Reviews Scraper — extract reviews, ratings, and business info from Yelp for local-services reputation research
• Yelp Ultimate Scraper — Yelp business listings, details, menus, and reviews for market research
• Rover Pet Sitter Search Scraper — search Rover.com for pet sitter listings (alternative Rover data source)
• Thumbtack Pro Listing Scraper — local professional service providers, reviews, and pricing for lead generation
• Pet Services Lead Finder — US independent pet services businesses from Google Maps with enriched contact data

FAQ

Does Rover have an official API? Rover.com does not publish a public developer API for sitter search, profiles, or reviews. This Actor is a reliable, current alternative — it reads the same embedded data Rover's own pages use and exposes it as structured JSON via the Apify REST API.

What does it cost to scrape Rover.com? This Actor is pay-per-event: $0.002 per sitter, $0.0035 per review, plus a small per-run start fee (one event per GB of memory). Enable fetchReviews only when you actually need review text — reviews are billed separately from sitter records. Keep maxItems small for quick tests.

How fast is it? CheerioCrawler uses plain HTTP + HTML parsing (no browser), so it is fast and cheap. Rover is Cloudflare-protected: if you hit blocks or 403s, enable Apify's residential proxy.

Can I scrape multiple cities in one run? Yes — paste multiple Rover search URLs into searchUrls, or run the same input per city. Each sitter is stored as one dataset row so you can dedupe and aggregate by city.

Do I get reviews too? Review counts come on every sitter record. To get individual review text, enable fetchReviews (billed at $0.0035 per review, capped by maxReviewsPerSitter).

Is this legal? The Actor extracts publicly visible data from Rover.com. You are responsible for complying with Rover's Terms of Service and applicable laws, and for how you use the data you collect.

SEO Keywords

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For AI Agents & LLM Apps

Purpose. Give an agent or RAG pipeline structured, current pet-care marketplace data from Rover.com — sitter supply, pricing, ratings, and reviews — without a browser or an official API.

Minimal input. Agents only need a location (plus optionally maxItems):

{ "location": "Denver, CO", "maxItems": 50 }

Output fields. Agent-relevant sitter fields: name, profileUrl, profileId, serviceTypeLabel, pricePerNight, rating, reviewCount, repeatClients, city, state, neighborhood, distanceMiles, backgroundChecked, starSitter, bio, responseRate, services[]. When fetchReviews is enabled, review items land in a second dataset with sitterName, rating, text, reviewerName, date.

Behaviors. fetchReviews adds $0.0035 per review — enable it only when review text is actually required. Set fetchProfiles: false for fast, cheap search-card-only data. Consume results via {{storages.datasets.default.apiUrl}}/items and {{storages.datasets.reviews.apiUrl}}/items.

Billing model (for cost-aware agents). $0.002 per sitter record, $0.0035 per review record, plus a tiny per-run start fee scaled to memory. A 100-sitter run without reviews costs about $0.20.

Legal & Compliance Disclaimer

This Actor is not affiliated with, endorsed by, or connected to Rover / Rover.com in any way. It extracts publicly visible information from Rover.com's public pages. Sitter profiles returned by this Actor include publicly displayed information such as provider names, bios, ratings, and locations — whatever sitters themselves choose to show publicly. You may be handling personal data, which is protected by GDPR in the EU and by other regulations worldwide. Only collect and use this data where you have a legitimate purpose, keep it secure, and do not use it for spam, harassment, discrimination, or any unlawful activity. You are solely responsible for complying with Rover's Terms of Service and all applicable laws in your jurisdiction.