Airbnb Services Reviews Scraper - Low-cost💲🔥⭐🏠

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Airbnb Services Reviews Scraper 🔎💬🏠⭐

The Airbnb Services Reviews Scraper is a fast, reliable, and scalable automation tool designed to extract structured review data directly from Airbnb service listings.

It converts raw service reviews into clean, structured datasets ready for analytics, sentiment analysis, market research, and data-driven insights.

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Airbnb Services Reviews Scraper 🏠🔍📊

This scraper automatically extracts structured review data from Airbnb service pages using service URLs or IDs.

Ideal for analysts, marketers, researchers, and data professionals.

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🎯 What This Scraper Does

Simply provide one or multiple Airbnb service URLs or IDs, and the scraper will automatically extract structured review data.

✅ Extracts reviews from Airbnb service pages

✅ Supports multiple service URLs or IDs

✅ Handles pagination automatically

✅ Respects maxitems limits

✅ Cleans and structures review data

✅ Captures reviewer & host information

✅ Ready for analytics and integrations

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📊 Data Extracted

📝 Review Fields

Field	Description
🆔 id_comment	Unique review identifier
💬 comment	Full review text
🌐 language	Review language
📅 localizedDate	Review date
⭐ rating	Rating (1–5)
✨ reviewHighlight	Highlighted part of the review

👤 Reviewer Fields

Field	Description
🧑 reviewer_firstName	Reviewer first name
🆔 reviewer_id	Reviewer identifier
📍 reviewer_location	Reviewer location
🖼 reviewer_pictureUrl	Reviewer profile picture

🏠 Host Fields

Field	Description
🧑 reviewee_firstName	Host first name
🖼 reviewee_pictureUrl	Host profile picture

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🛠 How to Use

1️⃣ Configure Input

Provide Airbnb service URLs or IDs:

{
  "services": [
    "https://www.airbnb.com/services/185781",
    "https://www.airbnb.com/services/298331"
  ],
  "maxitems": 50
}

2️⃣ Run the Actor

The scraper will:

• Load Airbnb service pages

• Extract reviews and ratings

• Capture reviewer & host data

• Handle pagination automatically

• Stop when maxitems is reached

3️⃣ Export the Dataset

Download your results in multiple formats:

✅ JSON

✅ CSV

✅ Excel

✅ XML

✅ HTML

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⚙️ Input Configuration

📥 Input Example

{
  "services": [
    "https://www.airbnb.com/services/797574"
  ],
  "maxitems": 30
}

Input Fields

Field	Type	Description
services	array	Bulk Airbnb service URLs or service IDs
maxitems	integer	Maximum number of reviews to extract per service

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📤 Output Example

{
  "id_comment": "812739217",
  "comment": "Amazing experience! The host was extremely welcoming and knowledgeable.",
  "language": "en",
  "localizedDate": "March 2025",
  "rating": 5,
  "reviewer_firstName": "Sarah",
  "reviewer_id": "93827182",
  "reviewer_location": "New York, USA",
  "reviewer_pictureUrl": "https://a0.muscache.com/im/pictures/user/123.jpg",
  "reviewee_firstName": "Carlos",
  "reviewee_pictureUrl": "https://a0.muscache.com/im/pictures/host/456.jpg",
  "reviewHighlight": "Amazing experience!"
}

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📊 Output explanation

Field	Description
id_comment	Review ID
comment	Review text
language	Language
localizedDate	Review date
rating	Rating score
reviewer_firstName	Reviewer name
reviewer_id	Reviewer ID
reviewer_location	Reviewer location
reviewer_pictureUrl	Reviewer image
reviewee_firstName	Host name
reviewee_pictureUrl	Host image
reviewHighlight	Highlight text

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🌍 Why Use This Scraper?

💬 Customer Feedback Analysis — Understand user satisfaction

📊 Market Research — Compare services and trends

⭐ Sentiment Analysis — Analyze reviews at scale

👥 Host Insights — Evaluate service quality

📈 Data-Driven Decisions — Build analytics-ready datasets

🤖 AI & Data — Train models on structured review data

⚡ Scalable — Designed for high-volume extraction

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⚠️ Disclaimer

This tool is an independent solution and is not affiliated with or endorsed by Airbnb.

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💸 Pricing

This scraper runs on a pay per events subscription model.

You only pay for successful runs.

💳 Price: $4.89 / 1000 results

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Related Actors

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(Coming soon)

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📬 Support

⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool

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🌍 PrimeScrape

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Contact for custom scraping solutions or enterprise requests via Apify or by email.