Shaklee Reviews Spider
Pricing
$10.00 / 1,000 results
Shaklee Reviews Spider
Extract authentic customer reviews from Shaklee product pages, including ratings, titles, bodies, and metadata. Ideal for market analysis, competitive intelligence, and sentiment insights. Features robust proxies, scalable batch processing, and clean JSON output for seamless integration.
Pricing
$10.00 / 1,000 results
Rating
0.0
(0)
Developer

GetDataForMe
Actor stats
0
Bookmarked
4
Total users
1
Monthly active users
10 days ago
Last modified
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Introduction
The Shaklee Reviews Spider is a powerful Apify Actor designed to scrape and extract authentic customer reviews from Shaklee product pages. It provides comprehensive review data, including ratings, titles, bodies, and metadata, enabling businesses and researchers to gain valuable insights into product performance and customer sentiment. This tool streamlines data collection for market analysis, competitive intelligence, and more, ensuring reliable and structured output in JSON format.
Features
- Comprehensive Review Extraction: Scrapes detailed review information such as ratings, titles, review bodies, and timestamps from Shaklee product pages.
- High Reliability: Utilizes robust proxy configurations to handle anti-scraping measures and ensure consistent data retrieval.
- Structured Output: Delivers clean, JSON-formatted data with fields like Product_Id, Rating, Sentiment, and more for easy integration.
- Scalable Performance: Supports multiple URLs for batch processing, making it ideal for large-scale data collection.
- Metadata Enrichment: Includes additional fields like Country, Date, and Crawled_Date to provide context and traceability.
- Proxy Integration: Leverages Apify's residential proxies for US-based scraping, minimizing detection risks.
- Error Handling: Built-in mechanisms to manage failed requests and retries for uninterrupted operation.
Input Parameters
| Parameter | Type | Required | Description | Example |
|---|---|---|---|---|
| Urls | array | No | List of URLs to scrape reviews from Shaklee product pages. | ["https://us.shaklee.com/en_US/s/Nutrition/Protein-Shakes/Plant-&-Vegan/Life-Shake%E2%84%A2-Plant-Protein/p/21413"] |
| proxy | object | No | Proxy settings for scraping, including Apify proxy groups and country selection. | {"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US"} |
Example Usage
Input JSON
{"Urls": ["https://us.shaklee.com/en_US/s/Nutrition/Protein-Shakes/Plant-&-Vegan/Life-Shake%E2%84%A2-Plant-Protein/p/21413"],"proxy": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"],"apifyProxyCountry": "US"}}
Output JSON
[{"Product_Id": "21413","Review_Id": null,"Rating": "5","Title": "Amazing Shake","Body": "My husband and I (84 and 82 years old) were introduced to Life shake over this past year and absolutely love it! It's brought our protein and nutrition levels higher and we feel great after drinking. For those who don't like the aftertaste (although we don't find there is one?), try mixing in PBfit or even Triple Defense and its a nutrient powerhouse.","Sentiment": null,"Section": "","Higher_Topic": null,"Granular_Topic": null,"Source": "Shaklee","Full_Review": "Amazing Shake: My husband and I (84 and 82 years old) were introduced to Life shake over this past year and absolutely love it! It's brought our protein and nutrition levels higher and we feel great after drinking. For those who don't like the aftertaste (although we don't find there is one?), try mixing in PBfit or even Triple Defense and its a nutrient powerhouse.","Review_Type": "Product Review","Title_Trans": "Amazing Shake","Body_Trans": "My husband and I (84 and 82 years old) were introduced to Life shake over this past year and absolutely love it! It's brought our protein and nutrition levels higher and we feel great after drinking. For those who don't like the aftertaste (although we don't find there is one?), try mixing in PBfit or even Triple Defense and its a nutrient powerhouse.","Full_Review_Trans": "Amazing Shake: My husband and I (84 and 82 years old) were introduced to Life shake over this past year and absolutely love it! It's brought our protein and nutrition levels higher and we feel great after drinking. For those who don't like the aftertaste (although we don't find there is one?), try mixing in PBfit or even Triple Defense and its a nutrient powerhouse.","Product_Name_Trans": "Amazing Shake","Product_Segment": null,"Gender": "Unisex","Product_Segment2": null,"Year_Quarter": "2026-Q1","Sub_Brand": null,"Format": null,"Country": "USA","Date": "01-11-2026","Product_Name": "Amazing Shake","Brand": "Shaklee","URL": "https://us.shaklee.com/en_US/s/Nutrition/Protein-Shakes/Plant-&-Vegan/Life-Shake%E2%84%A2-Plant-Protein/p/21413/reviewhtml/all","Crawled_Date": "01-14-2026"}]
Use Cases
- Market Research: Analyze customer feedback on Shaklee products to identify trends and preferences.
- Competitive Intelligence: Compare review data across similar products for strategic insights.
- Price Monitoring: Track product performance and sentiment to inform pricing strategies.
- Content Aggregation: Collect reviews for content creation, such as blog posts or reports.
- Academic Research: Gather data for studies on consumer behavior in the health and nutrition sector.
- Business Automation: Automate review extraction for dashboards or CRM integrations.
Installation and Usage
- Search for "Shaklee Reviews Spider" in the Apify Store.
- Click "Try for free" or "Run".
- Configure input parameters (e.g., URLs and proxy settings).
- Click "Start" to begin extraction.
- Monitor progress in the log.
- Export results in your preferred format (JSON, CSV, Excel).
Output Format
The Actor outputs data in JSON array format, with each object representing a single review. Key fields include Product_Id (unique product identifier), Rating (1-5 scale), Title and Body (review content), Sentiment (analysis if available), Source ("Shaklee"), and metadata like Country, Date, and URL. Fields like Review_Id, Higher_Topic, and Granular_Topic may be null if not applicable. This structure ensures easy parsing and integration into databases or analytics tools.
Support
For custom/simplified outputs or bug reports, please contact:
- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: https://getdataforme.com/contact/
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