Houzz Product Reviews Scraper 🏠

Houzz Product Reviews Scraper 🏠

Scrape product reviews from Houzz.com. Extract detailed review data including ratings, comments, user information, and review aspects. Perfect for market research and customer sentiment analysis.

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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:

FieldTypeDescription
productUrlsArrayList of Houzz product URLs to scrape reviews from
maxItemsIntegerMaximum number of reviews to collect (default: 50)
proxyConfigurationObjectOptional 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]

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!