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This LIPSCOSME comments scraper exports product review comments from LIPS/LIPSCOSME into a structured CSV file. Import the workflow into the UScraper local desktop app to collect reviewer tags, like and quote counts, publishing dates, review snippets, review page URLs, and up to three picture URLs per comment row.
CSV file
11
4 URLs
Load + rows
Free
At a glance
The workflow is built for a LIPSCOSME product review page such as /products/497682/review. Navigate opens the known review-page URLs, Wait for Page Load gives the browser time to render, and Wait for Element confirms that .PostListMedium__item rows are visible before extraction begins.
Structured Export then treats each review card as one row. It captures visible engagement fields, comment text, reviewer attribute tags, and picture thumbnails, then Loop Continue advances to the next review-page URL. There is no hidden cloud parser in the template; the value is the repeatable browser flow and fixed CSV shape you can inspect before running.
Comment-level review data
Export review briefs, publishing dates, like counts, quote counts, and image links for product feedback analysis.
Reviewer context fields
Capture up to three visible reviewer tags, such as age range, skin type, tone category, or gender labels when LIPSCOSME exposes them.
Pagination already wired
The sample Navigate block includes four review pages and appends them into one file, which is practical for products with several pages of comments.
Local desktop workflow
Your browser session and CSV stay in the configured UScraper folder unless you add your own upload or sharing step.
Who uses it
Beauty market researchers
Voice-of-customer review
Compare reviewer tags, comment language, likes, and image usage across a hero product before summarizing why customers mention texture, finish, irritation, scent, or repeat purchase intent.
Brand and ecommerce teams
Product feedback triage
Turn LIPSCOSME reviews export files into a spreadsheet queue for product managers, merchandisers, localization teams, or customer insight analysts.
Content and SEO teams
Buying-guide research
Collect review snippets and source URLs before writing cosmetics comparisons, ingredient notes, or category explainers backed by visible public comments.
For broader cosmetics datasets, pair this template with the LIPSCOSME Product Scraper, LIPSCOSME Product List Scraper, and Rakuten Product Scraper. You can also browse the UScraper template library for marketplace, review, and search workflows.
How to use
Review the page list
The Navigate block includes four review-page URLs for one LIPSCOSME product. Replace them with the product review pages you are approved to analyze.
Keep the waits
Leave the page-load wait and review-card element wait in place so rows exist before Structured Export runs.
Confirm the CSV path
Check the file name, save folder, headers, and append mode before you run a longer page list.
Run and inspect
Start the loop, solve any visible verification prompt in browser mode if one appears, then open the CSV and spot-check rows against the source page.
Output preview
lipscosme-comments-scraper.csvColumn
reviewer_tag_1
First visible reviewer attribute, such as age range or skin type.
Column
reviewer_tag_2
Second reviewer attribute when present.
Column
reviewer_tag_3
Third reviewer attribute when present.
Column
number_of_likes
Like count text from the review card.
Column
number_of_quote
Quote or clip count text from the review card.
Column
publishing_date
Visible publication date for the comment.
Column
review_brief
Cleaned review excerpt with expand text removed.
Column
review_url
The review page URL that produced the row.
Column
picture_url_1
First image URL from the review card, query string removed.
Column
picture_url_2
Second image URL when present.
Column
picture_url_3
Third image URL when present.
Sample rows
2 of many
| reviewer_tag_1 | reviewer_tag_2 | reviewer_tag_3 | number_of_likes | number_of_quote | publishing_date | review_brief | review_url | picture_url_1 | picture_url_2 | picture_url_3 |
|---|---|---|---|---|---|---|---|---|---|---|
| 20s | dry skin | warm tone | 18 | 3 | 2026-05-12 | Light texture, easy to layer, and the finish stayed natural through the afternoon. | ||||
| 30s | sensitive skin | cool tone | 7 | 1 | 2026-05-09 | The color was softer than expected, but the packaging photos helped confirm the shade. |
| Field group | Why it matters |
|---|---|
| Reviewer tags | Helps segment comments by visible profile attributes before theme analysis. |
| Engagement counts | Like and quote counts can identify comments other users found useful. |
| Review brief and date | Supports time-aware sentiment checks, launch tracking, and issue triage. |
| Picture URLs | Preserves user-uploaded visual context for manual QA and packaging research. |
Public LIPSCOSME review pages can still be governed by LIPS terms, robots directives, copyright, database rights, privacy law, and local regulations. Keep runs modest, do not bypass access controls, avoid collecting unnecessary personal data, and get legal review before republishing or reselling exported comments.
Before you scale
Guardrails for reliable LIPSCOSME exports
Avoid high-frequency review pulls
Large unattended batches can trigger throttling, CAPTCHA checks, partial rendering, or blank exports. Increase waits before increasing volume.
Review-card markup can change
The template depends on the review-card structure and custom columns for reviewer tags, review briefs, and picture URLs. Update Structured Export if LIPSCOSME changes its layout.
Review terms before commercial reuse
Treat the CSV as research input. Check LIPSCOSME terms, privacy rules, and applicable law before redistributing, selling, or combining review comments with other datasets.
Download the free template, install the local desktop app from UScraper download, and use this workflow when you need to export LIPSCOSME reviews into a structured CSV for analysis.
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