IKEA Product Reviews Scraper

Extract public IKEA customer reviews into clean JSON, CSV, Excel, or API-ready datasets.

Give the Actor one or more IKEA US product URLs. It returns one row per review with the rating, title, full text, reviewer, date, verification, helpful votes, media links, IKEA response, and product-level rating context.

Use it for recurring product quality tracking, reputation monitoring, competitive research, and customer sentiment analysis without manually copying review cards.

What does IKEA Product Reviews Scraper do?

IKEA Product Reviews Scraper collects public buyer feedback from ikea.com/us/en product pages.

It can:

• 🛋️ process several IKEA product URLs in one run;
• ⭐ extract individual ratings, titles, and complete review text;
• 👤 capture public reviewer and locale details;
• ✅ identify verified purchases and verified reviewers;
• 👍 collect helpful and unhelpful vote counts;
• 🖼️ preserve public review media URLs;
• 💬 include public IKEA responses to reviews;
• 📊 attach aggregate rating and total review count to every row;
• 🔁 order reviews by recency, rating, or helpfulness;
• 📦 export results through Apify datasets and integrations.

The current version supports the proven IKEA US English product surface.

Who is it for?

Product and reputation teams

Track complaints, praise, assembly problems, durability concerns, and changing customer expectations across a catalog.

Furniture brands and sellers

Compare recurring feedback about competing IKEA products with reviews of your own assortment.

Market researchers

Build structured evidence for category reports instead of sampling reviews by hand.

Data and BI teams

Schedule a repeatable review feed into dashboards, warehouses, or sentiment pipelines.

Agencies and consultants

Deliver product-level voice-of-customer datasets to retail and consumer-goods clients.

Why use this IKEA review extractor?

Public IKEA pages are designed for shoppers, not bulk analysis. Review cards must otherwise be opened, copied, normalized, and joined with product context manually.

This Actor provides:

• stable review IDs for deduplication;
• typed numeric and boolean fields;
• consistent article IDs and source URLs;
• one review per dataset row;
• configurable limits for cheap tests or deeper monitoring;
• direct public-data extraction without a login;
• automatic retries and clear input validation.

The Actor uses IKEA's public review data surface rather than rendering a full browser page, which keeps runs fast and efficient.

What IKEA review data can I extract?

Field	Description
reviewId	Stable public review identifier
productId	Article ID from the requested URL
sourceProductId	Source variant/article attached to a family review
productName	IKEA product family name
productUrl	Canonical requested product URL
rating	Numeric review score
ratingRange	Maximum rating, normally 5
title	Review headline
reviewText	Full public review text
reviewerName	Public display name when available
reviewerCountryCode	Review source country
reviewerLanguageCode	Review source language
submissionDate	Public submission timestamp
verifiedPurchase	Whether IKEA marks the purchase as verified
helpfulVotes	Positive feedback votes
unhelpfulVotes	Negative feedback votes
mediaUrls	Public image/media links
responseText	Public IKEA response when present
averageRating	Product aggregate rating
totalReviewCount	Product aggregate review count
scrapedAt	Extraction timestamp

Optional fields are omitted when IKEA does not expose them.

How much does it cost to scrape IKEA product reviews?

The Actor uses pay-per-event pricing:

• a small $0.005 start fee per run;
• a per-review event with plan-based volume discounts;
• the current BRONZE price is $0.000046786 per saved review.

At that price, a run returning 100 reviews costs about $0.00968, including the start fee, before platform allowances.

Keep maxReviews low for your first run. The input prefill requests only five reviews.

Final live prices are always shown in the Apify Console before a run starts.

How to scrape IKEA reviews in 4 steps

1. Open the Actor input page.
2. Paste one or more IKEA US English product URLs.
3. Choose a review limit and sort order.
4. Click Start and open the default dataset.

You can download the result as JSON, CSV, Excel, XML, or RSS, or consume it through the Apify API.

Input parameters

productUrls

Required list of public IKEA product pages.

Supported format:

https://www.ikea.com/us/en/p/billy-bookcase-black-oak-effect-40477340/

URLs outside /us/en/p/, non-IKEA domains, and URLs without an eight-digit article number fail closed.

maxReviews

Maximum reviews saved per product URL.

• minimum: 1
• maximum: 500
• default: 20
• prefill: 5

sort

Choose one:

• newest
• highest-rated
• lowest-rated
• most-helpful

proxyConfiguration

Direct extraction normally works. Advanced users can enable Apify Proxy or supply custom proxy URLs if their network encounters regional blocking.

Example input

{
  "productUrls": [
    "https://www.ikea.com/us/en/p/billy-bookcase-black-oak-effect-40477340/"
  ],
  "maxReviews": 20,
  "sort": "newest",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

To compare several products, add more URLs. The limit applies independently to each product.

Example output

{
  "reviewId": "13f5859c-1a86-49dc-b6b8-5297e42407be",
  "productId": "40477340",
  "sourceProductId": "40477340",
  "productName": "BILLY",
  "productUrl": "https://www.ikea.com/us/en/p/billy-bookcase-black-oak-effect-40477340/",
  "rating": 5,
  "ratingRange": 5,
  "title": "Quick assembly and install",
  "reviewText": "Quality is very good...",
  "reviewerName": "Iva",
  "reviewerCountryCode": "us",
  "reviewerLanguageCode": "en",
  "verifiedPurchase": true,
  "verifiedReviewer": false,
  "helpfulVotes": 0,
  "unhelpfulVotes": 0,
  "hasMedia": false,
  "mediaUrls": [],
  "averageRating": 4.6,
  "totalReviewCount": 3079,
  "locale": "en-US",
  "scrapedAt": "2026-07-21T00:00:00.000Z"
}

Values change as customers add or update reviews.

Review sorting strategies

Use newest for monitoring and incremental collection.

Use most-helpful to identify feedback shoppers found useful.

Use lowest-rated to prioritize product defects, missing parts, delivery damage, or assembly problems.

Use highest-rated to identify features customers value and language that supports merchandising research.

Stable review IDs let downstream systems remove records already seen in an earlier run.

Tips for reliable IKEA review monitoring

• Start with 5-20 reviews while validating your workflow.
• Schedule newest runs and deduplicate on reviewId.
• Keep the original productUrl as your catalog join key.
• Use sourceProductId to detect reviews syndicated across product variants.
• Treat reviewer names as public display labels, not verified identities.
• Expect aggregate counts to change independently of the selected review limit.
• Check Actor logs if a product was removed or no longer exposes reviews.

Integrations and automation workflows

Google Sheets and Airtable

Send each new review to a table, then filter by rating or verified purchase.

Slack and email alerts

Trigger an alert when a scheduled run finds a one-star review or a product response.

BigQuery, Snowflake, and PostgreSQL

Load stable review rows into a warehouse for trend analysis across article IDs.

Sentiment and topic analysis

Pass reviewText to an NLP service or LLM and aggregate themes by product, month, or rating.

Zapier and Make

Use an Apify run-completed trigger to connect the dataset to no-code business workflows.

Webhooks

Configure a webhook to process the dataset immediately after each successful run.

Use the Actor with the Apify API

Replace <APIFY_TOKEN> with your token.

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/ikea-product-reviews-scraper').call({
  productUrls: ['https://www.ikea.com/us/en/p/billy-bookcase-black-oak-effect-40477340/'],
  maxReviews: 20,
  sort: 'newest'
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient("<APIFY_TOKEN>")
run = client.actor("automation-lab/ikea-product-reviews-scraper").call(run_input={
    "productUrls": ["https://www.ikea.com/us/en/p/billy-bookcase-black-oak-effect-40477340/"],
    "maxReviews": 20,
    "sort": "newest",
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)

cURL

curl -X POST \
  "https://api.apify.com/v2/acts/automation-lab~ikea-product-reviews-scraper/runs?token=<APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"productUrls":["https://www.ikea.com/us/en/p/billy-bookcase-black-oak-effect-40477340/"],"maxReviews":20,"sort":"newest"}'

Use IKEA Product Reviews Scraper with MCP

Connect the Actor to AI clients through Apify MCP.

Claude Code

$claude mcp add --transport http apify "https://mcp.apify.com?tools=automation-lab/ikea-product-reviews-scraper"

Claude Desktop, Cursor, or VS Code

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=automation-lab/ikea-product-reviews-scraper"
    }
  }
}

Example prompts:

• “Extract the 20 newest reviews from this IKEA product URL.”
• “Find the most helpful complaints about these IKEA bookcases.”
• “Compare recurring quality themes across these three IKEA products.”

Data quality and deduplication

The Actor maps IKEA's public structured review records rather than inferring data from visible card positions.

Each saved row requires a stable review ID and numeric rating.

Duplicate IDs are removed within a run, including duplicates returned through IKEA product-family relationships.

Numbers remain numbers, booleans remain booleans, and optional unavailable values are omitted rather than replaced with misleading placeholders.

Limitations

• V1 supports IKEA US English product pages only.
• Search pages, category pages, carts, and non-product URLs are rejected.
• The Actor extracts public reviews; it does not submit, edit, or vote on them.
• A source product may have fewer reviews than your requested limit.
• IKEA can change its public website or data endpoints.
• Product-family reviews can reference a different sourceProductId from the requested article.
• Public reviewer fields vary by review and may be absent.

Is it legal to scrape IKEA product reviews?

This Actor extracts information publicly available without a login.

You are responsible for your use of the data. Follow applicable laws, IKEA's terms, database rights, copyright rules, and privacy obligations.

Avoid using reviewer display names for identification or unsolicited contact. Store only the fields necessary for your legitimate purpose and apply appropriate retention controls.

This page is general information, not legal advice.

Troubleshooting

Why did my URL fail validation?

Confirm that it is an IKEA US English product URL beginning with https://www.ikea.com/us/en/p/ and ending in an eight-digit article number.

Why did the run return fewer reviews than requested?

The product may expose fewer public reviews, or IKEA may deduplicate/syndicate reviews across product variants. Check totalReviewCount for aggregate context.

Why did the run fail with no reviews extracted?

Open the product page manually and confirm that it still exists and has public customer reviews. Then inspect the Actor log. If your network is regionally blocked, enable Apify Proxy in advanced input.

Why is sourceProductId different?

IKEA can associate reviews with related variants in a product family. productId always identifies your requested URL; sourceProductId records the review's originating article.

Frequently asked questions

Does it require an IKEA account?

No. It accesses public review data without login credentials.

Can I scrape several products?

Yes. Add multiple URLs to productUrls; maxReviews applies to each URL.

Can I schedule it?

Yes. Create an Apify schedule and use newest ordering for repeat monitoring.

Are media files downloaded?

No. The dataset contains public media URLs so your workflow can decide whether to fetch them.

Does it perform sentiment analysis?

It returns clean review text suitable for sentiment analysis. Connect the dataset to your preferred NLP model or LLM.

Related product review scrapers

• Amazon Reviews Scraper
• Walmart Reviews Scraper
• Home Depot Product Reviews Scraper
• Lowe's Product Reviews Scraper
• Costco Product Reviews Scraper

Choose this Actor when IKEA US customer feedback is your primary source and you need one normalized row per review.

Support

If a valid IKEA US product page stops working, open an issue from the Actor page.

Include:

• the product URL;
• the run ID;
• the expected review count or field;
• whether proxy configuration was enabled.

Do not include passwords, private customer data, or API tokens.