Walgreens Reviews Scraper: Collect Product Feedback at Scale

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Why Scrape Walgreens Reviews?

Walgreens is one of America's largest pharmacy and retail chains, hosting millions of customer reviews across its product catalog. Customer feedback on Walgreens.com shapes purchasing decisions and brand reputation. Manually collecting and analyzing reviews is inefficient at scale — the Walgreens Reviews Scraper automates the extraction, delivering structured review data with ratings, metadata, and user insights in minutes.

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Overview

The Walgreens Reviews Scraper extracts comprehensive customer reviews from Walgreens product detail pages, capturing everything from star ratings to user photos, videos, and feedback statistics. It supports:

• Sentiment analysis: Analyze positive/negative feedback trends
• Brand monitoring: Track what customers say about your products vs. competitors
• Market research: Extract consumer opinions for product development
• Reputation management: Monitor review volume, ratings, and customer responses
• Competitive intelligence: Understand product positioning in the Walgreens marketplace

Key features include flexible sorting (by relevance, high/low ratings), pagination via offset, retry logic for reliability, and granular control over volume.

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Input Format

The scraper accepts a JSON configuration object with the following parameters:

{
  "urls": [
    "https://www.walgreens.com/store/c/dove-men-care-limited-edition-fifa-body---face-wash-all-star-comfort/ID=300469784-product"
  ],
  "sort_by": "helpfulness:desc,totalpositivefeedbackcount:desc",
  "offset": 20,
  "ignore_url_failures": true,
  "max_retries_per_url": 2,
  "max_items_per_url": 200
}

Parameter	Type	Description	Example
urls	Array	Product detail page URLs from Walgreens.com	["https://www.walgreens.com/store/c/..."]
sort_by	String	Sort reviews by: relevancy:a1, rating:desc, or rating:asc	"rating:desc" (high to low)
offset	Integer	Number of reviews to skip before scraping (pagination)	20
ignore_url_failures	Boolean	Continue if a URL fails to scrape	true
max_retries_per_url	Integer	Retry failed URLs up to N times	2
max_items_per_url	Integer	Maximum reviews to collect per product	200

Tip: Use offset to paginate through large review sets. E.g., offset 0 for reviews 1–200, then 200 for reviews 201–400.

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Output Format

Sample output

{
  "id": "276714335",
  "cid": null,
  "source_client": "dove",
  "badges": {},
  "badges_order": [],
  "last_moderated_time": "2026-05-27T13:45:46.000+00:00",
  "last_modification_time": "2026-05-27T13:45:46.000+00:00",
  "product_id": "300469784",
  "original_product_name": "All Star Comfort Body + Face Wash",
  "campaign_id": null,
  "context_data_values_order": [],
  "author_id": "topbox_af555bca13bc67c815f4bfca03563691295cdf6c0b22c4b84e55c628cf5d612b",
  "content_locale": "en_US",
  "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": true,
  "total_feedback_count": 0,
  "total_negative_feedback_count": 0,
  "total_positive_feedback_count": 0,
  "moderation_status": "APPROVED",
  "submission_id": null,
  "submission_time": "2026-05-26T00:39:32.000+00:00",
  "review_text": "[This review was collected as part of a promotion.] My husband has been using this body wash for about a month now and he loves it! It smells amazing\r\n\r\nI received this product for free from top box marketing for testing and review purposes.",
  "title": "Smells Amazing!",
  "user_nickname": "Yasmin",
  "context_data_values": {},
  "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": true,
  "rating_range": 5,
  "helpfulness": null,
  "product_recommendation_ids": [],
  "user_location": null,
  "photos": [],
  "from_url": "https://www.walgreens.com/store/c/dove-men-care-limited-edition-fifa-body---face-wash-all-star-comfort/ID=300469784-product"
}

Each scraped review returns a rich record with 45+ fields covering reviews, metadata, and user data:

Review Core Fields

Field	Meaning
ID	Unique review identifier in Walgreens system
CID	Review content ID
Title	Review headline (short summary)
Review Text	Full review body text
Submission Time	When the review was posted
Submission ID	Submission tracking ID
Source Client	Platform origin (e.g., web, mobile, syndicated)

Rating & Sentiment

Field	Meaning
Rating	Star rating (1–5) given by reviewer
Rating Range	Scale used for ratings
Is Recommended	Boolean: does reviewer recommend the product
Is Ratings Only	Boolean: review contains only a rating, no text
Secondary Ratings	Additional attribute ratings (e.g., value, quality)
Secondary Ratings Order	Sort order for secondary ratings

Feedback Metrics

Field	Meaning
Total Positive Feedback Count	Number of "helpful" votes received
Total Negative Feedback Count	Number of "not helpful" votes
Total Feedback Count	Total feedback votes (positive + negative)
Total Inappropriate Feedback Count	Flags for offensive/spam content
Inappropriate Feedback List	Details of inappropriate flags
Helpfulness	Calculated helpfulness score

User & Moderation

Field	Meaning
Author ID	Unique identifier for the reviewer
User Nickname	Display name of the reviewer
User Location	Geographic location of the reviewer
Content Locale	Language/region of the review
Moderation Status	Review approval status (approved, pending, rejected)
Last Moderated Time	Last moderation action timestamp
Last Modification Time	Last edit or update timestamp

Engagement & Interaction

Field	Meaning
Total Comment Count	User comments on this review
Comment IDs	IDs of related comments
Total Client Response Count	Responses from Walgreens or vendor
Client Responses	Full text of official responses
Is Featured	Boolean: review is highlighted/featured
Is Syndicated	Review sourced from partner platform

Product & Campaign Data

Field	Meaning
Product ID	The product being reviewed
Original Product Name	Full product name at review time
Campaign ID	Associated marketing campaign
Product Recommendation IDs	Related product recommendations
Badges	Trust badges (e.g., "Verified Purchase")
Badges Order	Sort order of badges

Rich Media & Context

Field	Meaning
Photos	URLs of user-submitted product photos
Videos	URLs of user-submitted product videos
Pros	Bulleted advantages mentioned in review
Cons	Bulleted disadvantages mentioned in review
Tag Dimensions	Custom attributes/tags (e.g., "drying", "fragrance")
Tag Dimensions Order	Sort order for tags
Context Data Values	Additional structured data
Context Data Values Order	Context data sort order
Additional Fields	Extra metadata fields
Additional Fields Order	Sort order for additional fields

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How to Use

1. Find product URLs — Navigate to Walgreens.com, locate a product detail page, and copy the full URL.
2. Configure sorting — Choose how to order reviews:
   • relevancy:a1 → Relevance (Walgreens algorithm)
   • rating:desc → Highest ratings first
   • rating:asc → Lowest ratings first
3. Set pagination — Use offset to skip reviews (e.g., offset: 0 for first batch, offset: 200 for second batch).
4. Adjust volume — Set max_items_per_url to the number of reviews you need per product (up to 200).
5. Run the scraper — Execute and monitor the run. Failed URLs are skipped if ignore_url_failures: true.
6. Export data — Download results as JSON, CSV, or Excel for analysis.

Best practices:

• Start with sort_by: "helpfulness:desc" to prioritize useful reviews.
• Use max_retries_per_url: 2 for reliability on large runs.
• For high-volume scraping, split URLs across multiple runs to avoid timeouts.

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Business Applications

• Brand health tracking: Monitor sentiment and rating trends over time
• Competitor analysis: Compare customer satisfaction across product categories
• Product development: Extract feature feedback (Pros/Cons) to inform improvements
• Review moderation: Identify inappropriate or spam reviews at scale
• Marketing intelligence: Understand what drives positive/negative perception
• Vendor management: Track how competitors' products are reviewed on Walgreens

By automating review collection, you transform hours of manual work into actionable data that feeds machine learning models, dashboards, and strategic decision-making.

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Conclusion

The Walgreens Reviews Scraper delivers customer feedback at enterprise scale. With 45+ fields covering ratings, engagement, media, and user data, it enables comprehensive sentiment analysis and competitive intelligence in the retail pharmacy market. Start scraping today to unlock insights hidden in millions of customer voices.