Boots Reviews Scraper: Extract Product Reviews & Ratings at Scale

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What Is Boots.com?

Boots.com is the official UK e-commerce platform for Boots the Chemist, a major health and beauty retailer. The site hosts thousands of beauty, skincare, and wellness products, each with customer reviews and ratings. These reviews are valuable for market research, competitor analysis, and understanding consumer sentiment — but extracting this data manually is tedious and error-prone. The Boots Reviews Scraper automates the collection process, delivering structured review data in seconds.

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Overview

The Boots Reviews Scraper extracts product reviews and customer feedback from Boots.com product pages, converting unstructured review data into clean, queryable records. It is designed for:

• E-commerce analysts studying consumer preferences and product performance
• Reputation managers monitoring brand sentiment and review trends
• Market researchers analyzing competitor product feedback
• Content creators building review aggregators or comparison tools
• Sentiment analysis teams processing large-scale customer feedback

Key strengths include flexible sorting (by rating, helpfulness, or submission date), configurable pagination via offset, and reliable error handling with ignore_url_failures.

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Input Format

The scraper accepts a JSON configuration object to define which reviews to collect and how to order them:

{
  "urls": [
    "https://www.boots.com/elf-lip-plumping-gloss-10256999#BVRRContainer"
  ],
  "offset": 20,
  "sort_by": "rating:desc",
  "ignore_url_failures": true,
  "max_items_per_url": 200
}

Parameter	Type	Description
urls	Array	Direct links to Boots product pages (with review sections). Each URL should point to a product detail page with reviews enabled.
offset	Integer	Skip the first N reviews before collection starts. Useful for pagination (e.g., offset: 20 skips the first 20 reviews). Default: 0.
sort_by	String	Sorting method: "rating:desc" (highest first), "rating:asc" (lowest first), "helpfulness:desc,totalpositivefeedbackcount:desc" (most helpful), "submissiontime:desc" (newest), or "" (any order).
ignore_url_failures	Boolean	If true, scraper continues if a URL fails; if false, the entire run stops on error. Recommended: true for bulk operations.
max_items_per_url	Integer	Maximum reviews collected per product URL (e.g., 200 pulls up to 200 reviews per page).

Tip: Use sort_by: "rating:desc" to prioritize highly-rated reviews, or "helpfulness:desc" to focus on reviews marked as useful by other customers.

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Output Format

Sample output

{
  "id": "398279849",
  "cid": null,
  "source_client": "elfcosmetics",
  "last_moderated_time": "2025-09-12T19:49:37.000+00:00",
  "last_modification_time": "2025-09-12T19:49:37.000+00:00",
  "product_id": "2188603",
  "original_product_name": "Lip Plumping Gloss",
  "author_id": "hnlwwujiz2ynl6pflxccwek06",
  "content_locale": "en_US",
  "is_featured": false,
  "inappropriate_feedback_list": [],
  "total_inappropriate_feedback_count": 0,
  "is_syndicated": true,
  "syndication_source": {
    "client_id": null,
    "logo_image_url": "https://photos-eu.bazaarvoice.com/photo/2/cGhvdG86YXR0cmlidXRpb25sb2dvMg/e2a500b6-62d1-4260-bb04-39cf2ae38c1d",
    "content_link": null,
    "name": "eyeslipsface.com"
  },
  "total_client_response_count": 0,
  "total_comment_count": 0,
  "rating": 5,
  "is_ratings_only": false,
  "is_recommended": false,
  "moderation_status": "APPROVED",
  "submission_time": "2025-09-12T17:58:55.000+00:00",
  "review_text": "I love this gloss, the minty tingling feels nice and cool. I use this for my natural ‘no makeup’ looks",
  "title": "Sparkling Rosé",
  "user_nickname": "CinnamonMarie2",
  "rating_range": 5,
  "helpfulness": null,
  "additional_fields": {},
  "campaign_id": null,
  "total_feedback_count": 0,
  "tag_dimensions": {},
  "cons": null,
  "additional_fields_order": [],
  "tag_dimensions_order": [],
  "context_data_values_order": [],
  "badges_order": [],
  "secondary_ratings": {},
  "submission_id": null,
  "comment_ids": [],
  "total_positive_feedback_count": 0,
  "videos": [],
  "pros": null,
  "secondary_ratings_order": [],
  "client_responses": [],
  "total_negative_feedback_count": 0,
  "photos": [],
  "context_data_values": {},
  "user_location": null,
  "badges": {},
  "product_recommendation_ids": [],
  "from_url": "https://www.boots.com/elf-lip-plumping-gloss-10256999#BVRRContainer"
}

Each scraped review returns a comprehensive record with 47+ fields covering review content, author details, moderation, feedback, and media:

Review Identification & Metadata

Field	Meaning
ID	Unique identifier for the review
Submission ID	Secondary ID tracking the submission event
CID	Content ID used by the review platform
Product ID	Identifier of the reviewed product
Campaign ID	Marketing campaign associated with the review (if any)
Source Client	Platform or source that collected the review

Content & Text

Field	Meaning
Review Text	Full review body written by the customer
Title	Short headline/summary of the review
Pros	Strengths of the product highlighted by the reviewer
Cons	Weaknesses or drawbacks mentioned
Submission Time	When the review was posted

Author & User Information

Field	Meaning
Author ID	Unique ID of the reviewer
User Nickname	Display name of the reviewer
User Location	Geographic location of the reviewer
Content Locale	Language/locale of the review text

Ratings & Recommendations

Field	Meaning
Rating	Numeric rating (e.g., 1–5 stars)
Rating Range	Scale of the rating system
Is Recommended	Boolean indicating if the reviewer recommends the product
Is Ratings Only	True if review contains only a rating, no text
Secondary Ratings	Additional rating dimensions (e.g., "value for money," "fragrance strength")

Feedback & Helpfulness

Field	Meaning
Helpfulness	Number of users who found the review helpful
Total Feedback Count	Total feedback received (helpful + unhelpful)
Total Positive Feedback Count	Users who marked review as helpful
Total Negative Feedback Count	Users who marked review as unhelpful
Inappropriate Feedback List	Flagged issues or complaints about the review
Total Inappropriate Feedback Count	Count of inappropriate reports

Moderation & Status

Field	Meaning
Moderation Status	Review approval status (approved, pending, rejected)
Last Moderated Time	When moderation last updated the review
Last Modification Time	Last edit or update timestamp
Is Featured	Whether the review is highlighted/featured on the product page

Media & Additional Content

Field	Meaning
Photos	Customer-uploaded product photos
Videos	Customer-uploaded product videos
Comment IDs	IDs of comments/replies to this review
Total Comment Count	Count of replies or follow-up comments

Company Responses

Field	Meaning
Client Responses	Official Boots responses to the review
Total Client Response Count	Number of company replies

Badges & Tags

Field	Meaning
Badges	Visual badges (e.g., "Verified Purchase," "Top Reviewer")
Tag Dimensions	Categorization tags applied to the review

Syndication & System Fields

Field	Meaning
Is Syndicated	Whether review is shared across other platforms
Syndication Source	If syndicated, the original source
Original Product Name	Product name at time of review submission
Additional Fields	Extra custom fields specific to the campaign
Product Recommendation IDs	Related product suggestions from the review
Context Data Values	Contextual metadata about the reviewer or purchase

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How to Use

1. Find product URLs — Navigate to Boots.com, select a product page, and scroll to the reviews section. Copy the full URL (including #BVRRContainer anchor for review section).
2. Configure parameters:
   • Paste product URL(s) into urls
   • Set max_items_per_url (e.g., 100 for first 100 reviews per product)
   • Choose sort_by method (e.g., "rating:desc" for top-rated reviews first)
   • Set offset if you want to skip earlier reviews and paginate
3. Run the scraper — Start the actor and monitor progress in the run log
4. Export data — Download results as JSON, CSV, or Excel for analysis

Best practices:

• Use sort_by: "helpfulness:desc" when analyzing opinion quality, not just popularity
• Set offset: 0 initially, then increment to paginate through large review sets
• Enable ignore_url_failures: true when scraping multiple products to avoid partial run failures
• Filter results by Moderation Status: "approved" to focus on verified reviews

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Use Cases & Business Value

• Sentiment analysis: Aggregate reviews to understand customer satisfaction trends by product category
• Competitor intelligence: Monitor how competitor products are rated vs. your own offerings
• Feature analysis: Extract pros/cons to identify most-discussed product features
• Quality assurance: Identify recurring complaints to guide product development
• Influencer insights: Find high-engagement reviews and influential reviewers for partnership outreach
• Content marketing: Source authentic customer quotes and testimonials for campaigns

The Boots Reviews Scraper transforms review data into actionable insights, eliminating hours of manual collection and enabling data-driven decisions in product development, marketing, and customer service.

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Conclusion

The Boots Reviews Scraper is an essential tool for anyone leveraging customer feedback for competitive advantage. With 47+ fields capturing everything from ratings and text to photos, videos, and company responses, it provides a complete picture of customer sentiment at scale. Start collecting Boots product reviews today and unlock insights that drive smarter business decisions.