IKEA Product Reviews & Ratings Scraper (JSON API) Scrape IKEA product reviews, star ratings, and rating statistics from a single IKEA product page and get everything back as clean JSON – perfect for analysis, customer sentiment, dashboards, or data pipelines. > 💬 Support: wibuild.in@gmail.com --- ## What this Actor does Given an IKEA product URL and a maximum number of reviews, this Actor: 1. Collects up to maxreviews reviews (or fewer if there aren’t that many). 2. Extracts for each review: - Review text - Star rating - Reviewer name / anonymous - Review date - Verified purchase / verified reviewer flags 3. Adds product-level stats to every review: - Average rating - Total number of reviews - Rating breakdown (1–5 stars) - First review date 4. Returns everything as structured JSON (one object per review). --- ## Why use this IKEA reviews scraper? Typical use cases and SEO-focused scenarios: - SEO & content strategy - Find common keywords and phrases customers use in reviews. - Discover topics to cover in product descriptions, comparison pages, and blog posts. - Customer sentiment analysis - Track positive vs negative reviews and rating trends over time. - Product performance tracking - Monitor rating distribution and review volume across markets (e.g. us, in, de). - Competitor & market research - Compare variants or markets by average rating and review count. - Data export for BI tools - Use JSON / NDJSON output in dashboards, reporting tools, or ML models. --- ## How to run the Actor You can run this Actor on the Apify platform, via API, or from code. ### 1. On Apify Console 1. Open the Actor in Apify. 2. Go to Input tab. 3. Fill in: - URL: IKEA product page URL - maxreviews: maximum number of reviews to scrape 4. Click Run. 5. When the run finishes, download results from the Dataset (JSON or NDJSON). ### 2. Via API (HTTP) Send a POST request to the Actor’s run endpoint with JSON input: json { "URL": "https://www.ikea.com/in/en/p/ekoln-soap-dispenser-beige-30493005/", "maxreviews": 300 } You’ll get a dataset of review objects that you can fetch as JSON or NDJSON. --- ## Input The Actor expects a simple JSON with two required fields: URL and maxreviews. ### Input parameters - URL (string, required) Full IKEA product URL to scrape reviews from. Example: https://www.ikea.com/in/en/p/ekoln-soap-dispenser-beige-30493005/ - maxreviews (integer, required) Maximum number of reviews to collect. The Actor stops when this limit is reached or no more reviews are available. Default: 500 ### Example input json { "URL": "https://www.ikea.com/in/en/p/ekoln-soap-dispenser-beige-30493005/", "maxreviews": 300 } --- ## Output The Actor returns one JSON object per review. Each review object contains: - Product identifiers and context - Review content and metadata - Verification flags - Product-level rating statistics ### Sample output record json { "itemNo": "30493005", "URL": "https://www.ikea.com/in/en/p/ekoln-soap-dispenser-beige-30493005/", "sourceCountryCode": "us", "Title": "Soap dispenser,", "Review": "Great color and good size , works well, easy to use , but it is a soap dispenser, your not doing brain surgery with it", "Rating": 5, "verifiedPurchase": true, "verifiedReviewer": false, "anonymousReviewer": false, "Review Date": "2025-11-09", "Username": "Janet", "Date of Crawling": "2025-11-15", "Average Rating": 4.4, "Global Rating Count": 1270, "firstReviewedOn": "2019-07-14", "Count_1_star": 78, "Count_2_star": 49, "Count_3_star": 79, "Count_4_star": 208, "Count_5_star": 856 } --- ## Field reference ### Product & context - itemNo (string) – IKEA product/item number. - URL (string) – IKEA product page URL used for scraping. - sourceCountryCode (string) – IKEA site country/locale code (e.g. us, in, de). - Title (string) – Product name or title. ### Review details - Review (string) – Full customer review text (great for SEO keyword mining). - Rating (number) – Star rating (usually 1–5). - verifiedPurchase (boolean) – true if marked as a verified purchase. - verifiedReviewer (boolean) – true if reviewer identity is verified (if available). - anonymousReviewer (boolean) – true if review is posted anonymously. - Review Date (string, YYYY-MM-DD) – Date when the review was posted. - Username (string) – Display name of the reviewer (or anonymous label). ### Crawling metadata - Date of Crawling (string, YYYY-MM-DD) – When the Actor collected this review. Useful for tracking data freshness, historical snapshots, and incremental updates. ### Product-level rating statistics These fields describe the overall rating situation for the product at crawl time. They are repeated for every review so each object is self-contained. - Average Rating (number) – Overall product rating. - Global Rating Count (integer) – Total number of reviews for the product. - firstReviewedOn (string, YYYY-MM-DD) – Date of the earliest review found. - Count_1_star (integer) – Number of 1-star reviews. - Count_2_star (integer) – Number of 2-star reviews. - Count_3_star (integer) – Number of 3-star reviews. - Count_4_star (integer) – Number of 4-star reviews. - Count_5_star (integer) – Number of 5-star reviews. These statistics are extremely useful for: - Ranking products by overall rating and review volume - Building rating distribution charts - Detecting issues (e.g. rising 1-star and 2-star counts) --- ## Output file formats Depending on how you fetch the dataset, the results can be saved as: ### JSON array A single array of review objects: json [ { "itemNo": "30493005", "Review": "Nice product", "Rating": 5 }, { "itemNo": "30493005", "Review": "Okay for the price", "Rating": 3 }, { "itemNo": "30493005", "Review": "Not happy", "Rating": 2 } ] ### NDJSON / JSON Lines One JSON object per line (better for streaming and big data tools): text {"itemNo": "30493005", "Review": "Nice product", "Rating": 5} {"itemNo": "30493005", "Review": "Okay for the price", "Rating": 3} {"itemNo": "30493005", "Review": "Not happy", "Rating": 2} Both formats contain the same information – choose the one that fits your workflow, BI tools, or data pipeline. --- ## Quick summary - You provide: - URL – IKEA product page - maxreviews – how many reviews you want at most - You get: - One JSON object per review - Clean fields for text, rating, reviewer, and dates - Product-level rating statistics included in every record Use this Actor as your IKEA product reviews API to power SEO research, customer sentiment analysis, rating dashboards, and market intelligence.