Home Depot reviews

Returns customer reviews for Home Depot products identified by item ID, with rating, review text, reviewer details and photos. Useful for analysing product satisfaction, recurring complaints and how reviews are distributed across star ratings.

What you get

• Star rating, review title and review text
• Submission time
• Reviewer nickname and author ID
• Whether the reviewer recommends the product
• Verified purchaser flag and reviewer badges
• Helpful and unhelpful vote counts
• Review photos
• Secondary ratings such as quality and value, when given
• Product ID and product name
• Product-level rating summary: average rating, total reviews and star distribution

What it can do

• Fetch reviews for several products, or several review views of one product, in one run
• Choose a page range, or load all review pages
• Sort by photo reviews, most helpful, newest, oldest, highest or lowest rating
• Filter reviews by keyword and by star rating
• Keep only reviews from verified purchases

Limits

• Up to 10000 results per run
• Each product must be identified by its Home Depot item ID
• Reviewer age, location and secondary ratings appear only when the reviewer provided them
• Only publicly visible data

Input options

Example

Ask your AI for the data in plain words and it picks this source. Developers can also call source procli_homedepot_a directly through the REST API or MCP with an input like this:

{
  "input": [
    {
      "endPage": 2,
      "itemId": "327717985",
      "sortBy": "photoreview",
      "startPage": 1
    },
    {
      "endPage": 2,
      "itemId": "327717985",
      "searchTerm": "good",
      "sortBy": "mosthelpfull",
      "starRatings": "4,5",
      "startPage": 1
    }
  ]
}

How to use it

1. Create an account at prolevelmax.com. New users receive $1 in sign-up credit after verifying their email (one per person). No card required.
2. Connect your AI. In the Dashboard, open Get started → Coding tools and API → Generate setup instructions and paste the instructions into your AI (Claude, ChatGPT, Cursor, Codex and others). You can also add the MCP server https://prolevelmax.com/mcp or call the REST API.
3. Request data. Your AI selects a source, quotes the price and runs it only after you confirm. Results are returned as structured JSON that the AI can format as a table or report.

FAQ

All Home Depot sources and prices