Apify Airbnb Scraper: Extract Listings, Prices & Reviews (2026)
The Apify Airbnb scraper pulls the short-term-rental data platforms won't sell you cheap: every listing in a market with nightly rates, capacity, ratings, review counts, and host details — exported to CSV or piped into your analysis automatically.
For STR investors it replaces $300+/month analytics subscriptions for market research; for hosts it is competitor rate intelligence. Setup takes ten minutes.
- Extracts listing title, nightly price, beds/baths, guest capacity, rating, review count, host details
- Market research first: scrape a city before buying, not after — supply, rates, and saturation are visible in the data
- Weekly competitor runs = your own dynamic-pricing intelligence without the subscription
- Pairs with [Zillow data](/blog/apify-zillow-scraper) for the full STR investment picture
What the scraper extracts
Per listing: title, nightly price, entire-place vs room, bedrooms, bathrooms, guest capacity, star rating, review count, host name (plus Superhost status), location (neighborhood granularity), amenities count, photos, and the listing URL.
Review count ÷ listing age is your rough occupancy proxy — a listing with 40 reviews in 8 months is renting steadily; 4 reviews in 2 years is not.
Setup: first market pull in 10 minutes
- Find the Airbnb scraper in the Apify Store — search-market actors take a location + dates range — Find the Airbnb scraper in the Apify Store — search-market actors take a location + dates range
- Input city or neighborhood, flexible dates (or a specific weekend for rate snapshots), max listings
- Test run one neighborhood, 100 listings — check the fields and price format
- Export CSV for analysis, or schedule runs and push to Sheets — Export CSV for analysis, or schedule runs and push to Sheets
- Scale add more neighborhoods or run the full metro
Apify
4.7Verified partnerWeb scraping and automation platform — Free / $49/mo Starter
For investors: market research before the offer
The analysis that used to cost a subscription: total supply in the market, median nightly rate by bedroom count, the top-quartile listings' ratings and review velocity — that is your achievable-ADR estimate, not a vendor's guess.
Scrape the market, filter to your buy-box property type, and the top 10% of performers by review velocity are your comp set. What those listings do — amenities, photos, minimum stays — is the bar you have to beat. Combine with purchase-side data from Zillow for the full underwriting picture.
For hosts: competitor rate intelligence
Your direct comps are the 20-30 listings matching yours in capacity and quality. Weekly scrape on that set: their rates for the coming weekends, their review velocity, their calendar gaps — a homemade dynamic-pricing signal that costs a run, not a subscription.
Watch the review count deltas week over week — a comp accelerating reviews is booking; one flat for a month is empty. Same diff logic as competitor tracking.
Scrape the same weekend dates repeatedly — a comp's Friday-night rate four weeks out vs one week out tells you their pricing curve.
Apify
4.7Verified partnerWeb scraping and automation platform — Free / $49/mo Starter
Reviews as a product research tool
Review text is the underrated extraction: guest complaints across a market are unmet demand. "No workspace" appearing in 30% of top listings' reviews means your fast-wifi-desk setup is a marketing angle, not an amenity.
The review scraping workflow applies — pull review text on your top 20 comps and mine the recurring complaints.
Reliability and cadence
Airbnb is JavaScript-heavy: use the maintained Store actors (they handle the rendering) and keep requests reasonable — weekly per market for intelligence, daily only for a tight comp set.
Schedules via cron, alerts via webhooks, data to Sheets or your pipeline — the same infrastructure as every other Apify workflow.
Public listing data is fair to analyze; republishing listings or harassing hosts with scraped contact info is where the line sits. Use it for decisions, not redistribution.
The Apify Airbnb scraper turns the STR market into your private dataset: supply, rates, review velocity, and guest complaints — market research that used to cost a monthly subscription.
Scrape your target market this week. If the data does not support the deal, you just saved the down payment.
Ready to get started?
Try the tools from this article risk-free. Free trials available.
FAQ
Can you scrape Airbnb listings with Apify?
Yes — Airbnb actors extract listings by market with nightly prices, capacity, ratings, review counts and host details, exportable to CSV/JSON and schedulable for ongoing tracking.
How do I research an Airbnb market before investing?
Scrape the market: total supply, median rates by bedroom count, and review velocity of top performers gives you supply saturation and achievable ADR — the underwriting data analytics platforms charge for.
Is scraping Airbnb legal?
Collecting publicly displayed listing data for analysis is generally permissible; republishing listings or misusing host information is not. Use it for your decisions.
Can I track competitor Airbnb prices?
Yes — weekly scrapes on your 20-30 direct comps reveal their rate curve and booking velocity via review-count deltas. A homemade pricing signal for the cost of a few compute units.
How much does Airbnb scraping cost?
A weekly market run plus a comp set fits in Apify's $49/mo Starter; the free $5 credit covers test pulls to validate the data first.
Tools mentioned in this article
Affiliate links — we may earn a commission at no cost to you.
Apify
4.7Verified partnerWeb scraping and automation platform — Free / $49/mo Starter
Alex Mercer
AI Marketing Strategist · 8+ years
Alex has tested 200+ AI marketing tools on real campaigns with $50,000+ in ad spend. He writes hands-on reviews based on actual usage data, not press kits. His work has helped 10,000+ marketers build AI automation stacks that generate real ROI.