Best Hotel & Travel Sites Scraper APIs & Tools

Hotel and travel data is one of the highest-value and best-defended scraping jobs: Tripadvisor, Booking, and Airbnb render listings client-side, price them by locale, and challenge cold IPs within a few calls. My top pick for most teams is ChocoData, for its universal endpoint and the lowest documented entry price, and this page compares it against the Tripadvisor, Booking, and Airbnb scraper APIs I would shortlist in 2026 on what decides a purchase: starting price, free tier, the structured fields each returns, and published speed. Every price and feature comes from the vendor’s own pricing, product, or documentation page in mid-2026, attributed inline, because review-site numbers go stale fast and pricing pages move. If you want the hands-on build instead of the buy decision, see my walkthrough on how to scrape Booking and hotels.

One disclosure up front: bestscraperapi.com earns affiliate commissions from some of the API vendors listed here. That has no effect on which tools make the list, how I rank them, or what I write. The pricing comes straight from each vendor’s own page, and the ranking follows documented price and features, not payout.

A second note on the performance numbers further down. The speed and success-rate figures are approximate, compiled from each vendor’s own published figures plus aggregated public reports. They are not bestscraperapi.com’s own first-hand tests. Vendors measure success on their own targets under their own conditions, so the numbers are directional, not apples to apples. My independent, like-for-like travel benchmarks are still in progress; see how we test for the methodology and check back for measured results.

1. ChocoData

ChocoData is my top pick for pulling structured data out of travel pages at the lowest documented entry price, especially if you also scrape other sites. Its model is what makes it stand out: one universal endpoint with the shape GET /api/v1/{site}/{resource}?api_key=... covers any supported site, and on top of that it exposes 453 total endpoints, of which 250+ return validated, parity-checked structured JSON across 235 sites, per ChocoData’s site in mid-2026. You send a query plus a locale and get clean JSON back instead of a rendered page to parse, with residential IPs and JavaScript rendering handled for you.

Pricing

Per ChocoData’s pricing page in mid-2026, the free plan gives 1,000 requests a month (5,000 credits) with no card and access to all 235 targets. Paid tiers are Vibe at $19/mo (27,000 requests), Pro at $49/mo (82,000 requests), and Custom from $100 to $2,000/mo (200,000 to 4,000,000+ requests). ChocoData prices one request at 5 credits, with JS rendering and screenshots adding 10 credits each, and lists pay-as-you-go top-ups at $0.90 per 1,000 successful requests. It bills only 2xx responses, so failed requests, site challenges, and timeouts cost nothing. The $19 Vibe tier is the lowest paid entry point of any general-purpose API in this comparison.

Standout features

The universal endpoint means one integration covers Tripadvisor, Booking, Airbnb, and any other supported target, so you are not wiring a new client per site. The 250+ dedicated JSON endpoints return parsed fields with parity checks against the live page, and residential IPs plus JS rendering are built in rather than priced as add-on proxy products. For speed, its homepage publishes a median latency of 2.6s (p95 6s, p99 ~10s) across the 235 supported sites in mid-2026; it does not publish a headline success rate.

Best for

ChocoData earns the value spot on price, breadth, and the universal model for teams whose travel scraping is one workload among many. One honest caveat: it does not list Tripadvisor, Booking, or Airbnb as named dedicated endpoints on the pages I could fetch in mid-2026, so for those targets you would use the universal endpoint to fetch and render the page rather than a pre-parsed listings array. If you specifically want hotel or Airbnb listings returned as a typed object out of the box, the dedicated options below (Apify, SearchApi.io, Bright Data) are the more direct fit. For mixed workloads at the lowest entry price, start on the free 1,000 requests and move to the $19 Vibe plan when you outgrow it. Try ChocoData.

2. Apify

Apify is the pick when you want a prebuilt actor for tripadvisor data scraping or Airbnb listings and would rather not write or host the scraper yourself. Its Store lists maintained actors per travel target, each returning parsed fields, and you run them through the API or a dashboard. This is the most direct route to Tripadvisor hotel, restaurant, and attraction data without building selectors.

Pricing

The maxcopell Tripadvisor Scraper starts at $2.00 per 1,000 results, with optional business-lead enrichment and email verification billed per result, per its actor page in mid-2026. The tri_angle Airbnb Scraper bills pay-per-event at roughly $1.25 per 1,000 results (about $0.30 for 240 results), per its actor page. Both run on the Apify platform, which starts with a Free plan giving $5 of monthly usage and no card, then Starter at $29/mo, Scale at $199/mo, and Business at $999/mo, per Apify’s pricing page in mid-2026. Prepaid usage does not roll over and expires at the end of the billing cycle, so budget the actor result cost and the platform line item together.

Standout features

The Tripadvisor actor returns hotels (names, addresses, ratings, awards, amenities, room counts, price ranges, images, coordinates, contact details), restaurants (cuisines, hours, pricing, dishes, dietary features), and attractions (descriptions, booking offers, tour info), and accepts location searches or direct Tripadvisor URLs with check-in/check-out dates and currency selection. The Airbnb actor returns listing details, nightly rate plus cleaning and service fees, component ratings, host and superhost status, categorized amenities, and coordinates. The Tripadvisor actor shows 14,000 users and a 4.9 rating across 25 reviews in mid-2026.

Best for

Reach for Apify when you want a working Tripadvisor or Airbnb scraper in minutes and are comfortable that per-actor speed, success, and maintenance depend on the actor’s author. The Tripadvisor actor extracts a single place in about 15 seconds via a synchronous request, per its page; the Airbnb actor caps at 240 results per search query and carries a lower 2.7 rating, so test it against your target volume before you commit. Pick Apify for no-build extraction inside an existing workflow.

3. Bright Data

Bright Data fits teams that think in delivered datasets rather than API calls. Its travel scrapers return parsed records per object type and bill only for successfully delivered results, which suits bulk hotel and listings collection across Booking, Airbnb, and other travel sites.

Pricing

Bright Data’s scraper is pay-as-you-go at $1.50 per 1,000 records, with a Scale plan at $499/month for 384,000 records (then $1.30 per 1,000 extra) and custom Enterprise pricing, per its Booking scraper page in mid-2026. The free tier is 5,000 records a month with no card. Billing is “pay only for successfully delivered results,” and output ships as JSON, NDJSON, CSV, or compressed .gz.

Standout features

The Booking scraper returns URL, hotel ID, title, location, country, city, metro access, images, check-in/check-out dates, rooms, reviews, score, and address, and ships as 5 Booking-specific scrapers within a library of 24+ travel and hospitality scrapers (Airbnb, Agoda, Trip, Google Flights, Google Hotel, Naver Hotels, and more), per the same page. It handles bulk requests up to 5,000 URLs and runs on a 400M+ residential IP pool across 195 countries. Airbnb is covered by 3 scraper variants; Tripadvisor is not listed among the named travel scrapers in mid-2026.

Best for

Choose Bright Data when you want managed, record-based travel datasets and the breadth of 24+ travel targets under one vendor, especially Booking and Airbnb at volume. It publishes a 99.99% uptime SLA, which speaks to availability rather than per-request success. The trade is unit economics: at $1.50 per 1,000 records a job that returns thousands of listings or reviews per query adds up fast, so estimate output volume, not query count, before you scale.

4. SearchApi.io

SearchApi.io is the pick when you want a dedicated, parsed Airbnb endpoint that returns a clean listings array per query with simple per-search pricing. You hit one engine and get typed JSON back, no selector maintenance as Airbnb rotates its layout.

Pricing

Pricing starts at $40/month (Developer, 10,000 searches), then Production at $100/month (35,000), BigData at $250/month (100,000), and Scale at $500/month (250,000), per its pricing page in mid-2026. New users get 100 free requests with no card. Billing is success-only: failed requests and any non-200 response are not charged. It publishes a 99.9% SLA across all plans.

Standout features

The Airbnb engine (engine=airbnb) accepts a location query or a bounding_box, check_in_date and check_out_date (or a time_period like weekend_trip), guest counts, price_min/price_max, type_of_place, property_types, room and bed filters, amenities, currency, and a regional airbnb_domain, per its Airbnb docs in mid-2026. Each listing returns id, title, description, link, booking_link, rating, reviews, a price object with total and per-night rates, accommodations, gps_coordinates, badges (Superhost, Guest favorite), and an images array. Its docs reference Google Hotels and Booking as comparable travel engines in the same ecosystem.

Best for

Pick SearchApi.io when Airbnb is your primary travel target and you want a parsed array out of the box with predictable per-search billing. If you also need Tripadvisor reviews or Booking-specific fields, pair it with one of the other tools here or fetch those pages through a universal API like ChocoData, since the dedicated Airbnb engine is the travel endpoint it documents most fully.

5. Oxylabs

Oxylabs is the pick when you want a purpose-built parser for travel pages on a large enterprise-grade proxy network and a low per-result floor. Its Web Scraper API ships preconfigured travel targets and returns parsed JSON per page rather than HTML you parse yourself.

Pricing

Pricing starts at $0.25 per 1,000 results for successful requests without JavaScript rendering, with a free trial of up to 2,000 results and no card, per its Web Scraper API page in mid-2026. Published subscription tiers scale up from there by volume. Oxylabs advertises a 99.9% success rate for its datacenter proxies, though that is a network-level claim, not a travel-endpoint measured figure.

Standout features

The Web Scraper API lists preconfigured travel endpoints including Booking (URL), Google Travel: Hotels, Expedia (URL), Hotels.com (URL), Priceline (URL), and Skyscanner (URL), per the same page. Output is parsed JSON (with per-target data-point counts) or raw HTML, with parsing available through Oxy Parser for many targets. Geotargeting takes location and language parameters and runs on country-level proxies (USA, UK, Japan, Canada, Germany, and more), which matters because hotel price and availability are point-of-sale dependent.

Where it falls short

The honest exclusion to be aware of: Oxylabs’ travel target list in mid-2026 leans toward booking and OTA sites (Booking, Hotels.com, Expedia, Priceline, Skyscanner, Google Hotels) and does not name a dedicated Tripadvisor endpoint. For Tripadvisor reviews and attractions specifically, Apify’s Tripadvisor actor is the more direct fit. Choose Oxylabs when your travel scraping is OTA and hotel pages at a low per-result price with location control, and you are comfortable mapping fields from its parsed output.

6. Scrapfly

Scrapfly is the developer-first option: you swap your HTTP client for its SDK and turn features on per request, drawing on a managed proxy pool and anti-bot bypass. It fits teams that want code-level control over how each travel page is fetched rather than a prebuilt actor.

Pricing

Pricing is credit-based: a free tier with 1,000 API credits and no card, then Discovery at $30/mo (200,000 credits), Pro at $100/mo (1,000,000), Startup at $250/mo (2,500,000), Enterprise at $500/mo (5,500,000), and Custom above that, per its pricing page in mid-2026. Credit cost per request rises when you enable JavaScript rendering, anti-bot bypass (ASP), residential proxies, or country targeting, which for defended travel sites you usually will, so model your real settings in its estimator before you commit.

Standout features

You enable anti-bot bypass and JS rendering per request through the SDK, which is what gets you past the challenge walls Tripadvisor, Booking, and Airbnb serve to cold IPs, and you choose residential proxies and country targeting when point-of-sale matters. The trade is that Scrapfly returns the rendered page for you to parse rather than a typed listings object, so you own the field extraction.

Best for

Pick Scrapfly when you want hands-on control over the fetch (which proxy, whether to render, whether to run anti-bot bypass) and you are comfortable writing the parser. Its pages in mid-2026 do not name Tripadvisor, Booking, or Airbnb as preconfigured targets or publish a headline success rate, so treat it as a flexible general API for travel pages rather than a dedicated travel parser. For a parsed array out of the box, the dedicated options above are a closer fit.

How to choose the right one

Choose by answering three questions: do you scrape only travel sites or other targets too, do you want a parsed listings array or to host your own extraction, and how much output volume you need. Your answers map cleanly onto the options above.

The honest default for most developers: if travel is one of several targets, start on ChocoData’s free 1,000 requests and move to the $19 Vibe plan when you outgrow it. If you specifically want Tripadvisor hotels, restaurants, and attractions parsed for you, run Apify’s Tripadvisor actor; for a parsed Airbnb array, trial SearchApi.io’s 100 free requests; for bulk Booking and Airbnb datasets, use Bright Data’s 5,000 free records. Whichever you choose, set currency and locale explicitly (hotel prices change with point of sale), render JavaScript, budget for output volume rather than request count, and route through residential IPs rather than your own. My web scraping guide shows how to wire one of these endpoints into a script, and scraping without getting blocked covers the block-avoidance side in detail.

How we evaluated these

I shortlisted these tools on what decides a real travel-data purchase: documented starting price, free tier, the structured fields each returns for Tripadvisor, Booking, and Airbnb, and published speed. Every price and feature on this page comes from each vendor’s own pricing, product, or documentation page in mid-2026, attributed inline, never from competitor blogs or other review sites. The speed and success figures are approximate, compiled from vendor-published numbers plus aggregated public sources, and are not bestscraperapi.com’s own first-hand tests; my independent, like-for-like travel benchmarks are still in progress, with methodology at how we test. Pricing is current as of mid-2026 and scraper-API pricing changes frequently, so confirm the current number on each vendor’s own page before you commit, and check whether the plan bills by request, credit, result, or delivered record so you are comparing like with like.