Houzz Product Reviews Scraper 🏠

Extract detailed product reviews data from Houzz.com, including ratings, comments, user information, and review aspects.

Features ✨

• Scrape product reviews with detailed information
• Extract review ratings, comments, and timestamps
• Get user profile data of reviewers
• Collect review aspects (Value for Money, Product Quality, etc.)
• Support for multiple product URLs
• Configurable maximum items limit
• Built-in proxy rotation support
• Automatic pagination handling

Input Parameters 📝

The actor accepts the following input parameters:

Field	Type	Description
productUrls	Array	List of Houzz product URLs to scrape reviews from
maxItems	Integer	Maximum number of reviews to collect (default: 50)
proxyConfiguration	Object	Optional proxy settings

Output Data Structure 📊

The actor outputs JSON data with the following structure for each review:

• productUrl: Source product URL
• scrapedAt: Timestamp of when the data was collected
• review:
  • Rating and basic review information
  • Review aspects (Value for Money, True to Description, etc.)
  • User information
  • Review badges (Verified Purchase, etc.)

Use Cases 🎯

• Market research and competitor analysis
• Customer sentiment analysis
• Product quality monitoring
• Review aggregation and analysis
• E-commerce analytics

Limitations ⚠️

• Respects Houzz.com's robots.txt and terms of service
• Rate limiting applied to avoid overloading servers
• Some reviews might not be accessible due to privacy settings

Tips 💡

• Use proxy configuration for better reliability
• Start with a small maxItems value for testing
• Verify product URLs are in the correct format

Input Example

A full explanation of an input example in JSON.

1{
2    "productUrls": [
3        "https://www.houzz.com/products/open-weave-cane-rib-dome-pendant-lamp-natural-prvw-vr~117320794"
4    ],
5    "maxItems": 50
6}

Output sample

The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

1[
2    {
3        "productUrl": "https://www.houzz.com/products/open-weave-cane-rib-dome-pendant-lamp-natural-prvw-vr~117320794",
4        "scrapedAt": "2025-02-02T08:41:43.032Z",
5        "review": {
6            "id": 1318287,
7            "rating": 5,
8            "title": "",
9            "numberOfLikes": 0,
10            "numberOfDislikes": 0,
11            "created": 1697309933,
12            "modified": 1697310195,
13            "badges": [
14                "VERIFIED_PURCHASE",
15                "INCENTIVIZED"
16            ],
17            "comment": "So excited for this beauty to be put up in my kitchen!  It is larger than expected but in this case,  bigger is better.  I was looking for a hanging light that would not block my view to outside, I think I found it!",
18            "status": "ACTIVE",
19            "isLiked": false,
20            "images": null,
21            "reviewAspects": [
22                {
23                    "id": 1,
24                    "name": "Value for Money",
25                    "value": {
26                        "id": 2910678,
27                        "value": "4",
28                        "__typename": "ReviewAspectValue"
29                    },
30                    "__typename": "ReviewAspect"
31                },
32                {
33                    "id": 2,
34                    "name": "True to Description",
35                    "value": {
36                        "id": 2910679,
37                        "value": "5",
38                        "__typename": "ReviewAspectValue"
39                    },
40                    "__typename": "ReviewAspect"
41                },
42                {
43                    "id": 3,
44                    "name": "Product Quality",
45                    "value": {
46                        "id": 2910680,
47                        "value": "5",
48                        "__typename": "ReviewAspectValue"
49                    },
50                    "__typename": "ReviewAspect"
51                },
52                {
53                    "id": 4,
54                    "name": "Shipping",
55                    "value": {
56                        "id": 2910681,
57                        "value": "5",
58                        "__typename": "ReviewAspectValue"
59                    },
60                    "__typename": "ReviewAspect"
61                }
62            ],
63            "user": {
64                "id": 78453834,
65                "displayName": "Nona DeFelice",
66                "userName": "nona_defelice",
67                "isProfessional": false,
68                "profileImage": {
69                    "externalId": "4e3345e4051d67fb",
70                    "contentModified": "5979",
71                    "__typename": "Image"
72                },
73                "__typename": "User"
74            },
75            "__typename": "ProductReview"
76        }
77    },
78    ...
79]

Related Actors

• 🏠 Houzz Products Scraper - Scrape product listings from Houzz.com including prices, descriptions, reviews, and images.
• 🏠 Houzz Professional Scraper - Extract professional designers' profiles from Houzz.com with contact info and business details.
• 🛍️ Amazon Reviews Scraper - Extract detailed product reviews from Amazon with ratings, comments and reviewer information.
• 🛍️ Etsy Reviews Scraper - Scrape Etsy product reviews with ratings, text, reviewer info and dates.
• 🛍️ Flipkart Review Scraper - Extract comprehensive product reviews from Flipkart with ratings and user feedback.
• 🛍️ Myntra Reviews Scraper - Extract detailed review data including ratings, comments and style attributes.
• 🛍️ Noon.com Reviews Scraper - Scrape customer feedback, ratings and review images from Noon.com.
• 🛍️ Lidl Reviews Scraper - Extract detailed review data including ratings and author info from Lidl's store.
• 🏨 Hotels.com Review Scraper - Scrape detailed hotel reviews including ratings and management responses.
• 🏨 TripAdvisor Reviews Scraper - Extract detailed hotel reviews with ratings and user information.
• 🏨 Booking Reviews Scraper - Get guest reviews, ratings and booking information from any Booking.com hotel.
• 🍽️ Grubhub Restaurant Reviews Scraper - Extract customer reviews and ratings from Grubhub restaurants.
• 🍽️ Zomato Restaurant Reviews Scraper - Scrape restaurant reviews with ratings and user information.
• 🎮 Steam Reviews Scraper - Collect comprehensive review data including helpfulness and play time.
• 📱 App Store Reviews Scraper - Extract user reviews and feedback from the App Store.
• 📚 Goodreads Review Scraper - Extract detailed book reviews with ratings and user information.