HRS Hotel Reviews Scraper

What does HRS Hotel Reviews Scraper do?

HRS Hotel Reviews Scraper extracts hotel guest reviews from hrs.com by destination, hotel URL or hotel id. Every review row carries the rating score, traveller type and age group, stay dates, positive and negative comments and the hotel's replies, next to the hotel's address, coordinates and rating averages by traveller type.

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Key features

• 💵 Structured pricing: structured currency on every record — numbers you can sort and compare without parsing price text.
• 💬 Review comments and hotel replies: positiveComment, negativeComment, hotelPositiveResponse and hotelNegativeResponse on every review that has them, next to ratingScore and travelerType.
• ⭐ Ratings and review counts: stars for every record that has them.
• 📍 Coordinates: latitude, longitude and distanceKm on each record that has a location, ready for a map.
• 🏘️ Address: city, district, country and street as separate fields for every record that lists them.
• 🔍 Keyword search: search hrs.com by keyword with the query input.
• 🧭 Radius search: search around a point with lat, lon and radiusKm.
• 🔗 Paste-mode: paste hrs.com URLs into startUrls to scrape exactly the pages you picked in the browser.
• ♻️ Incremental mode: recurring runs emit only directory entries that are new or updated — keep your supplier-outreach lists fresh without re-fetching the full directory. Saves 80–95% on weekly syncs.
• 🔔 Notifications: Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook out of the box. Pair with incremental for daily new-listing alerts without pipeline glue.
• 📦 Compact mode: compact directory entries — name, contact, location, industry — ready to import into your CRM or outreach tool.

What data can you extract from hrs.com?

Each result includes Core record fields (hotel_id, hotel_name, hotel_status, stars, city, district, country, and country_code, and more) and detail fields when enrichment is enabled (detailFetched). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to fetch each record's detail page — extra fields the search results omit.

Input

The main inputs are a search keyword and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — An hrs.com destination/list/hotel URL, a location id, or comma-separated hotel ids (e.g. 699596 = Titanic Chaussee Berlin). Required if no startUrls provided.
• maxResults — Maximum total results (0 = unlimited). (default: 100)
• startUrls — Paste www.hrs.com destination, list or hotel URLs. Each URL becomes its own search task; results are merged and deduped by hotel. When provided, startUrls REPLACE the query field (unsupported URLs are skipped; if none is supported the run stops with an input error). (default: [])
• includeDetails — Fetch full listing details. (default: true)
• descriptionMaxLength — Truncate the combined reviewText to N chars. 0 = no truncation. (default: 0)
• compact — Core fields only (for AI-agent/MCP workflows). (default: false)
• excludeEmptyFields — Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards. (default: false)
• incrementalMode — Compare against previous run state. stateKey is optional — defaults to a value derived from search inputs (queries, locations, startUrls, country) so different filter sets never share state. (default: false)
• stateKey — Optional. Stable identifier for the tracked search universe. Leave empty to auto-generate from search inputs.
• skipReposts — When incremental, skip listings whose content matches an expired listing from a prior run (cross-run duplicate detection). (default: false)
• emitUnchanged — When incremental mode is on, also emit listings whose content has not changed since the last run. (default: false)
• emitExpired — When incremental mode is on, also emit listings that were seen before but are no longer found. (default: false)
• ...and 17 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "699596",
  "maxResults": 50
}

Incremental tracking — Only emit records that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "699596",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "699596-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "699596",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured record records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example record record

{
  "hotel_id": 699596,
  "hotel_name": "Titanic Chaussee Berlin",
  "hotel_status": "OPEN",
  "city": "Berlin",
  "district": "Berlin",
  "country": "DEU",
  "country_code": "DE",
  "street": "Chausseestraße 30",
  "postal_code": "10115",
  "latitude": 52.53232,
  "longitude": 13.38117,
  "source_url": "https://www.hrs.com/en/hotel/699596",
  "booking_id": 310227295,
  "locale": "de",
  "language": "deu",
  "traveler_type": "PRIVATE",
  "traveler_age_group": "OVER_59",
  "arrival_date": "2025-06-08",
  "departure_date": "2025-06-10",
  "review_date": "2025-06-11T10:01:19.080Z",
  "average_rating": 9.3,
  "recommended": true,
  "comfort": "NICE",
  "positive_comment": "Zentrale Lage, sehr gute Verkehrsanbindung (ÖPNV), ausreichend Stellplätze in der Tiefgarage zu einem angemessenen Preis",
  "hotel_positive_response": "Sehr geehrter Herr Schönemeier,\nvielen Dank für Ihre freundliche Rückmeldung. Es freut uns sehr, dass Ihnen unsere zentrale Lage, die gute Verkehrsanbindung sowie die Tiefgarage zu einem angemessenen...",
  "rating_votes": {
    "FRIENDLINESS_OF_RECEPTION": 10,
    "SERVICE_OF_HOTEL_EMPLOYEES": 10,
    "HOTEL_AMBIANCE": 10,
    "ROOM_CONFIGURATION": 9,
    "HOTEL_TIDINESS": 9,
    "SANITARY_FACILITIES": 9,
    "ROOM_SIZE": 8,
    "BREAKFAST_SERVICE": 10,
    "RESTAURANT_SERVICE": 0,
    "PRICE_PERFORMANCE_RATIO": 9,
    "WELLNESS_RANKING": 0,
    "QUALITY_OF_BEDS": 9
  },
  "filter": "ALLHRS",
  "filtered_average_rating": 9.2,
  "filtered_ratings_count": 228,
  "filtered_recommendation_rate": 96.9,
  "category_averages": {
    "WELLNESS_RANKING": 8.6,
    "FRIENDLINESS_OF_RECEPTION": 9.4,
    "BREAKFAST_SERVICE": 9.5,
    "ROOM_SIZE": 9.1,
    "RESTAURANT_SERVICE": 9.2,
    "HOTEL_AMBIANCE": 9.3,
    "SANITARY_FACILITIES": 9.1,
    "SERVICE_OF_HOTEL_EMPLOYEES": 9.3,
    "QUALITY_OF_BEDS": 9.2,
    "PRICE_PERFORMANCE_RATIO": 9.1,
    "ROOM_CONFIGURATION": 9.1,
    "HOTEL_TIDINESS": 9.4
  },
  "super_category_averages": {
    "ROOM": 9.1,
    "HOTEL_GENERAL_ASPECTS": 9.2,
    "STAFF_AND_GASTRONOMY": 9.4
  },
  "reviewer_name": "Schönemeier F.",
  "negative_comment": "Zimmer zur Straße sind leider ziemlich laut (bei gekipptem Fenster zur Frischluftversorgung)",
  "hotel_negative_response": "Sehr geehrter Herr Schönemeier,\nvielen Dank für Ihren Hinweis bezüglich des Lärms durch die Straßenseite Ihres Zimmers. Wir bedauern die Unannehmlichkeiten, die dadurch entstanden sind. Gerne berücksi...",
  "recordType": "review",
  "reviewId": "699596-310227295",
  "reviewUid": "699596:310227295",
  "bookingId": 310227295,
  "reviewerName": "Schönemeier F.",
  "travelerType": "PRIVATE",
  "reviewerAgeGroup": "OVER_59",
  "arrivalDate": "2025-06-08",
  "departureDate": "2025-06-10",
  "reviewPostedDate": "2025-06-11",
  "reviewPostedAt": "2025-06-11T10:01:19.080Z",
  "ratingScore": 9.3,
  "reviewText": "Zentrale Lage, sehr gute Verkehrsanbindung (ÖPNV), ausreichend Stellplätze in der Tiefgarage zu einem angemessenen Preis\n\nZimmer zur Straße sind leider ziemlich laut (bei gekipptem Fenster zur Frischl...",
  "positiveComment": "Zentrale Lage, sehr gute Verkehrsanbindung (ÖPNV), ausreichend Stellplätze in der Tiefgarage zu einem angemessenen Preis",
  "negativeComment": "Zimmer zur Straße sind leider ziemlich laut (bei gekipptem Fenster zur Frischluftversorgung)",
  "hotelPositiveResponse": "Sehr geehrter Herr Schönemeier,\nvielen Dank für Ihre freundliche Rückmeldung. Es freut uns sehr, dass Ihnen unsere zentrale Lage, die gute Verkehrsanbindung sowie die Tiefgarage zu einem angemessenen...",
  "hotelNegativeResponse": "Sehr geehrter Herr Schönemeier,\nvielen Dank für Ihren Hinweis bezüglich des Lärms durch die Straßenseite Ihres Zimmers. Wir bedauern die Unannehmlichkeiten, die dadurch entstanden sind. Gerne berücksi...",
  "ratingVotes": {
    "FRIENDLINESS_OF_RECEPTION": 10,
    "SERVICE_OF_HOTEL_EMPLOYEES": 10,
    "HOTEL_AMBIANCE": 10,
    "ROOM_CONFIGURATION": 9,
    "HOTEL_TIDINESS": 9,
    "SANITARY_FACILITIES": 9,
    "ROOM_SIZE": 8,
    "BREAKFAST_SERVICE": 10,
    "RESTAURANT_SERVICE": 0,
    "PRICE_PERFORMANCE_RATIO": 9,
    "WELLNESS_RANKING": 0,
    "QUALITY_OF_BEDS": 9
  },
  "hotelId": 699596,
  "hotelName": "Titanic Chaussee Berlin",
  "hotelUrl": "https://www.hrs.com/en/hotel/699596",
  "portalUrl": "https://www.hrs.com/en/hotel/699596",
  "postalCode": "10115",
  "countryCode": "DE",
  "chainName": "Titanic Hotels",
  "brandName": "Titanic Hotels",
  "hotelStatus": "OPEN",
  "hotelRating": 9.2,
  "hotelReviewCount": 228,
  "hotelRecommendationRate": 96.9,
  "ratingsByTravellerType": {
    "PRIVATE": 9.1,
    "YOUNG_COUPLE": 9.2,
    "GROUP": 9.3,
    "BUSINESS": 9.2,
    "FAMILY_OLDER_CHILDREN": 9.9,
    "ALLHRS": 9.2,
    "MATURE_COUPLE": 9.4
  },
  "reviewCountsByTravellerType": {
    "PRIVATE": 43,
    "YOUNG_COUPLE": 5,
    "GROUP": 6,
    "BUSINESS": 158,
    "FAMILY_OLDER_CHILDREN": 1,
    "ALLHRS": 228,
    "MATURE_COUPLE": 15
  },
  "categoryAverages": {
    "WELLNESS_RANKING": 8.6,
    "FRIENDLINESS_OF_RECEPTION": 9.4,
    "BREAKFAST_SERVICE": 9.5,
    "ROOM_SIZE": 9.1,
    "RESTAURANT_SERVICE": 9.2,
    "HOTEL_AMBIANCE": 9.3,
    "SANITARY_FACILITIES": 9.1,
    "SERVICE_OF_HOTEL_EMPLOYEES": 9.3,
    "QUALITY_OF_BEDS": 9.2,
    "PRICE_PERFORMANCE_RATIO": 9.1,
    "ROOM_CONFIGURATION": 9.1,
    "HOTEL_TIDINESS": 9.4
  },
  "pricePerNight": 286,
  "currency": "EUR",
  "listingId": "f543dbf56e8c3050ac0bb44e8acda9693a3c7c67520a52a3bfb777157e0c7567",
  "searchQuery": "699596",
  "contentQuality": "full",
  "detailFetched": true,
  "scrapedAt": "2026-10-19T01:34:15.210Z",
  "source": "hrs.com"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape hrs.com

1. Go to HRS Hotel Reviews Scraper in Apify Console.
2. Enter a search keyword.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need the extra detail-page fields.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract record data from hrs.com for market research and competitive analysis.
• Track pricing trends across regions and categories over time.
• Monitor new and changed records on scheduled runs without processing the full dataset every time.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Benchmark seller / dealer reputation using rating fields.

How much does it cost to scrape hrs.com?

HRS Hotel Reviews Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.00063 per run
• Per result: $0.00126 per record record

Example costs:

• 10 results: $0.013
• 25 results: $0.032
• 100 results: $0.13
• 200 results: $0.25
• 500 results: $0.63

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of records that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 records per run, daily polling (30 runs/month). Costs scale linearly with the number of records.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.32	$0.02	$0.30 (95%)	$0.49
15% — moderate broad query	$0.32	$0.05	$0.27 (85%)	$1.44
30% — high-volume aggregator	$0.32	$0.10	$0.22 (70%)	$2.85

Full re-scrape monthly cost at the same cadence: $9.47. First month with incremental costs $0.79 / $1.70 / $3.07 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from hrs.com?

The number of results depends on the search query and available records on hrs.com. Use the maxResults parameter to control how many results are returned per run.

Does HRS Hotel Reviews Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed records on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate HRS Hotel Reviews Scraper with other apps?

Yes. HRS Hotel Reviews Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use HRS Hotel Reviews Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use HRS Hotel Reviews Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape hrs.com?

This actor extracts publicly available data from hrs.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on hrs.com. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with HRS Hotel Reviews's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by HRS Hotel Reviews or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

Search keywords

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