Lookfantastic.com Reviews Scraper: Extract Product Reviews at Scale

---

What Is Lookfantastic.com?

Lookfantastic.com is one of Europe's largest online beauty and cosmetics retailers, stocking thousands of skincare, haircare, and makeup products from both global brands and niche labels. Each product page typically features dozens — sometimes hundreds — of verified customer reviews, making it a valuable source of authentic consumer sentiment.

Manually reading and recording this review data is impractical at any scale. The Lookfantastic Reviews Scraper automates the collection process, turning product review pages into clean, structured datasets ready for analysis, reporting, or integration into third-party systems.

---

Overview

The Lookfantastic.com Reviews Scraper targets the review section of individual product pages, extracting every available review attribute into a consistent, machine-readable format. It is built for:

• Brand managers monitoring customer sentiment for their own or competitor products
• E-commerce analysts benchmarking product ratings across categories
• Data scientists building sentiment analysis or NLP training datasets
• Agencies conducting beauty market research at scale

Key strengths include flexible sorting options, offset-based pagination for resumable runs, a configurable item limit, and fault-tolerant URL handling via ignore_url_failures.

---

Input Format

The scraper accepts a JSON configuration object:

{
  "product_id": "11530358",
  "sort_by": "submissiontime:desc",
  "offset": 0,
  "ignore_url_failures": true,
  "max_items_per_url": 200
}

Field Definitions

Field	Type	Description	Example
product_id	string	The numeric product ID found at the end of a Lookfantastic product URL. From .../p/nyx-professional-makeup-micro-brow-pencil-various-shades/11530358/, the ID is 11530358	"11530358"
sort_by	string	Controls the order reviews are returned. See options below.	"submissiontime:desc"
offset	integer	Number of reviews to skip before scraping begins. Useful for resuming interrupted runs or paginating large datasets. Default: 0	20
ignore_url_failures	boolean	If true, the scraper continues running when a URL fails rather than stopping the entire run. Recommended for bulk jobs. Default: true	true
max_items_per_url	integer	Maximum number of reviews to collect per product. Default: 20	200

Sort Options

Value	Label
relevancy:a1	Relevance
rating:desc	Rating: High to Low
rating:asc	Rating: Low to High
submissiontime:desc	Submission Time: New to Old
ContentLocale:en_GB,en_US	Language: English only

Tip: To find a product ID, navigate to any product page on Lookfantastic.com and look at the URL — the numeric segment at the end (e.g., /11530358/) is your product_id.

---

Output Format

Sample output

{
  "id": "1195045986",
  "cid": null,
  "source_client": "lookfantastic",
  "badges": {
    "verified_purchaser": {
      "content_type": "REVIEW",
      "id": "verifiedPurchaser",
      "badge_type": "Custom"
    }
  },
  "badges_order": [
    "verifiedPurchaser"
  ],
  "last_moderated_time": "2025-06-28T18:00:41.000+00:00",
  "last_modification_time": "2025-06-28T18:00:41.000+00:00",
  "product_id": "11530358",
  "original_product_name": "NYX Professional Makeup Micro Brow Pencil (Various Shades)",
  "campaign_id": null,
  "context_data_values_order": [
    "Age",
    "Gender"
  ],
  "author_id": "Debbie",
  "content_locale": "en_GB",
  "is_featured": false,
  "total_inappropriate_feedback_count": 0,
  "total_client_response_count": 0,
  "total_comment_count": 0,
  "rating": 5,
  "secondary_ratings_order": [],
  "is_ratings_only": false,
  "is_recommended": null,
  "total_feedback_count": 1,
  "total_negative_feedback_count": 0,
  "total_positive_feedback_count": 1,
  "moderation_status": "APPROVED",
  "submission_id": "imp-prod_c7_review_1195045986_1",
  "submission_time": "2024-10-01T21:39:03.000+00:00",
  "review_text": "Love the narrow pencil, colour range and pay off is great for a low price pencil",
  "title": "The best",
  "user_nickname": "Debbie",
  "context_data_values": {
    "age": {
      "value": "35to44",
      "id": "Age"
    },
    "gender": {
      "value": "Female",
      "id": "Gender"
    }
  },
  "secondary_ratings": {},
  "additional_fields_order": [],
  "tag_dimensions_order": [],
  "cons": null,
  "tag_dimensions": {},
  "additional_fields": {},
  "comment_ids": [],
  "inappropriate_feedback_list": [],
  "client_responses": [],
  "pros": null,
  "videos": [],
  "is_syndicated": false,
  "rating_range": 5,
  "helpfulness": 1.0,
  "product_recommendation_ids": [],
  "user_location": null,
  "photos": []
}

Each scraped review returns a rich record with 40+ fields. Below is a grouped breakdown with field-level explanations.

Core Identifiers

Field	Meaning
ID	Unique internal identifier for this review record
CID	Client identifier linking the review to a specific retailer instance
Submission ID	Platform-level submission reference
Product ID	Lookfantastic product ID this review belongs to
Original Product Name	Product name at the time the review was submitted
Campaign ID	Associated campaign if the review was collected via a product sampling or incentive campaign

Authorship & Locale

Field	Meaning
Author ID	Anonymised identifier for the reviewer
User Nickname	Display name chosen by the reviewer
User Location	Self-reported location of the reviewer
Content Locale	Language/region of the review content (e.g., en_GB, fr_FR)
Source Client	Platform or integration source that submitted the review

Review Content

Field	Meaning
Title	Headline of the review
Review Text	Full body text of the review
Pros	Positive aspects highlighted by the reviewer
Cons	Negative aspects highlighted by the reviewer
Rating	Numeric star rating given (typically 1–5)
Rating Range	Maximum possible rating value for context
Is Ratings Only	true if the reviewer submitted a star rating without written text
Is Recommended	Whether the reviewer recommends the product
Secondary Ratings	Supplementary rating dimensions (e.g., Value, Quality)
Secondary Ratings Order	Display order of secondary rating dimensions

Media & Attachments

Field	Meaning
Photos	URLs of reviewer-submitted images
Videos	URLs of reviewer-submitted video content

Feedback & Engagement

Field	Meaning
Total Feedback Count	Total number of helpfulness votes received
Total Positive Feedback Count	Count of "helpful" votes
Total Negative Feedback Count	Count of "not helpful" votes
Total Inappropriate Feedback Count	Count of reports flagging the review as inappropriate
Helpfulness	Computed helpfulness score used for sorting
Inappropriate Feedback List	Detailed list of inappropriate flags

Moderation & Status

Field	Meaning
Moderation Status	Current moderation state (e.g., approved, pending)
Last Moderated Time	Timestamp of the most recent moderation action
Last Modification Time	Timestamp of the most recent edit to the review
Submission Time	Original submission timestamp
Is Featured	Whether the review is editorially featured on the product page

Responses & Comments

Field	Meaning
Total Client Response Count	Number of brand/retailer responses to this review
Client Responses	Full text of any brand replies
Total Comment Count	Number of community comments on the review
Comment IDs	References to associated comment records

Taxonomy & Context

Field	Meaning
Badges	Achievement badges awarded to the reviewer
Badges Order	Display order of badges
Tag Dimensions	Structured tags attached to the review (e.g., skin type, age range)
Tag Dimensions Order	Display order of tag dimensions
Context Data Values	Additional contextual attributes submitted with the review
Context Data Values Order	Display order of context data fields
Additional Fields	Any platform-specific extra fields
Additional Fields Order	Display order of additional fields

Syndication & Targeting

Field	Meaning
Is Syndicated	Whether the review was shared from another retail platform
Product Recommendation IDs	IDs of products the reviewer recommended alongside this review

---

How to Use

1. Find your Product ID — Open a product page on Lookfantastic.com. The ID is the final numeric segment in the URL, e.g., .../11530358/.
2. Configure the input — Set product_id, choose your preferred sort_by option, and define max_items_per_url.
3. Set offset if needed — Use offset to skip already-collected reviews when resuming a previous run.
4. Run the scraper — Start the actor and monitor progress in the run log.
5. Export results — Download output as JSON, CSV, or Excel.

Best practices:

• Use sort_by: "submissiontime:desc" to always collect the most recent reviews first.
• For English-language analysis, set sort_by: "ContentLocale:en_GB,en_US" to filter out non-English content.
• Set ignore_url_failures: true for any run involving multiple products to prevent a single failure from halting the job.

---

Use Cases & Business Value

• Sentiment analysis: Feed review text and ratings into NLP pipelines to measure brand perception over time
• Product development: Use Pros and Cons fields to identify recurring pain points or praised features
• Competitive intelligence: Compare ratings and reviewer sentiment across similar products from different brands
• Review aggregation: Centralise Lookfantastic review data alongside other platform sources for a unified view
• Market research: Analyse User Location and Content Locale data to understand regional preferences in the beauty market

---

Conclusion

The Lookfantastic.com Reviews Scraper provides a reliable, scalable way to collect rich customer review data from one of Europe's most prominent beauty retailers. With over 40 output fields covering review content, ratings, media, engagement metrics, and moderation status, it delivers far more than a simple star rating — it captures the full context of each customer's experience. Configure your first run in minutes and start turning review pages into actionable intelligence.