Feefo Reviews Scraper

Scrape product & service reviews from Feefo for a given brand and export them as a clean dataset (one row per review).

This actor gives you a tidy table with key review fields like rating, comment, SKU, and product name.

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What this actor does

• Takes one or more Feefo brand URLs or brand slugs (e.g. babyblooms-limited).
• Stops when it reaches:
  • maxReviews (if set), or
  • Feefo’s hasMore = false (no more pages).
• Normalizes review data so that:
  • You get one row per review (product-level feedback).
  • You always have consumerComment, numericalScore, sku, parentSku, and product_name.
  • All dates are converted to YYYY-MM-DD.

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Input

Input fields (JSON)

{
  "startUrls": "https://www.feefo.com/en-GB/reviews/babyblooms-limited",
  "maxReviews": 1000
}

Field description

Field	Type	Required	Description
startUrls	string[]	✅	List of Feefo brand review URLs or slugs. See “How to get the brand name” below.
maxReviews	number | null	❌	Maximum number of reviews to scrape per run. If omitted, actor will scrape everything available.

                      |

Note: Internally the actor converts each URL into a brand slug like babyblooms-limited by extracting the part after /reviews/.

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How to get the brand slug from Feefo

You can pass either:

• The full URL:
  https://www.feefo.com/en-GB/reviews/babyblooms-limited

or just the slug:

• babyblooms-limited

The slug is the part after /reviews/ and before any ?:

https://www.feefo.com/en-GB/reviews/babyblooms-limited
                            ^^^^^^^^^^^^^^^^^^^^^
                            brand slug

Examples:

• https://www.feefo.com/en-GB/reviews/babyblooms-limited → babyblooms-limited
• https://www.feefo.com/en-GB/reviews/babyblooms-limited?displayFeedbackType=BOTH&withMedia=false&timeFrame=ALL → babyblooms-limited
• https://www.feefo.com/en-GB/reviews/little-bird-told-me?displayFeedbackType=SERVICE&withMedia=false&timeFrame=ALL → little-bird-told-me

The actor does this extraction automatically for you.

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Output

The actor writes one item per review into the default dataset.

Row grain

• 1 row = 1 product review (sale item)
  If a single order has multiple products, each product’s review appears on its own row.

Dataset schema (per row)

This is the dataset schema the actor uses (JSON Schema-style):

{
    "totalResults": 828,
    "hasMore": true,
    "lastId": "65840987e4b020293125631e",
    "lastDate": "2024-01-06",
    "sale_id": "692558abe4b05dbac36aa215",
    "sale_url": "https://www.feefo.com/reviews/little-bird-told-me/692558abe4b05dbac36aa215/customer-review-the-best-first-birthday-present",
    "consumerDisplayName": "Karen Smith",
    "region": "GBR",
    "yesHelpfulVotes": 0,
    "alreadyRated": false,
    "privateCampaign": false,
    "resolvedByConsumer": false,
    "summary": "The best first birthday present",
    "summaryAutoGenerated": false,
    "saleDate": "2025-11-22",
    "createDate": "2025-12-10",
    "latestFeedbackDate": "2025-12-10",
    "numericalScore": 5,
    "consumerComment": "I bought this for my grandson’s first birthday, hope he loves it as much as I do. The fur feels so soft, more than I expected it to.",
    "product_name": "Dexter Dog Baby Walker",
    "product_description": "Dexter Dog Baby Walker",
    "productLink": "https://littlebirdtoldme.com/product/dexter-dog-baby-walker",
    "productId": "5bbdfd88e4b08ffbe030b656",
    "sku": "LB3052",
    "parentSku": null,
    "product_url": "https://www.feefo.com/reviews/little-bird-told-me/products/dexter-dog-baby-walker?sku=LB3052",
    "item_productFeedbackCount": 59,
    "serviceFeedback.id": "6939f2c4e4b086d1694f14cd",
    "serviceFeedback.createDate": "2025-12-10",
    "serviceFeedback.numericalScore": 5,
    "serviceFeedback.consumerComment": "Arrived very quickly and was left safely with my neighbour as requested",
    "serviceFeedback.moderationStatus": "PUBLISHED",
    "serviceFeedback.helpfulVotes": 0,
    "serviceFeedback.formattedByFeefo": false,
    "item_productFeedback.id": "6939f2c5e4b086d1694f14e7",
    "item_productFeedback.createDate": "2025-12-10",
    "item_productFeedback.numericalScore": 5,
    "item_productFeedback.consumerComment": "I bought this for my grandson’s first birthday, hope he loves it as much as I do. The fur feels so soft, more than I expected it to.",
    "item_productFeedback.moderationStatus": "PUBLISHED",
    "item_productFeedback.helpfulVotes": 0
  }

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Example: Using the actor

1. Go to the actor’s page.
2. In the input, set (for example):

{
  "startUrls": "https://www.feefo.com/en-GB/reviews/babyblooms-limited",
  "maxReviews": 500
}

3. Run the actor.
4. When it finishes, export the dataset (CSV/JSON/Excel) to work with the reviews.

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How it works (high level)

• Extracts the brand slug from each startUrl.

  https://www.feefo.com/api/feedbacks/lazy/{brand_slug}?...
  

• Loops through pages, respecting:

  • pageSize for API calls,
  • maxReviews for the total number of rows.

• Flattens nested JSON into a table and normalizes:

  • date fields → YYYY-MM-DD
  • comment & rating → consumerComment and numericalScore

• Saves each row to the Apify dataset.

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