Thumbtack Reviews Scraper
Pricing
from $0.05 / actor start
Thumbtack Reviews Scraper
Extract customer reviews and ratings from Thumbtack profiles effortlessly with this Apify Actor. Gain insights into service quality and market trends through comprehensive, structured data....
Pricing
from $0.05 / actor start
Rating
0.0
(0)
Developer

GetDataForMe
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
4 days ago
Last modified
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Introduction
The Thumbtack Reviews Scraper is a powerful Apify Actor designed to extract customer reviews and ratings from Thumbtack service provider profiles. It automates the collection of valuable feedback data, enabling businesses and researchers to gain insights into service quality, customer satisfaction, and market trends. By leveraging advanced web scraping techniques, this Actor delivers accurate, structured data in a user-friendly format, saving time and effort compared to manual extraction.
Features
- Comprehensive Review Extraction: Captures detailed review information including ratings, comments, reviewer details, and timestamps from Thumbtack profiles.
- High Reliability: Built on PlaywrightCrawler for robust handling of dynamic web content, ensuring consistent data retrieval even from complex pages.
- Customizable Inputs: Supports multiple start URLs, allowing targeted scraping of specific service providers or categories.
- Structured Output: Delivers clean, JSON-formatted data ready for analysis, export, or integration with other tools.
- Scalable Performance: Handles large volumes of reviews efficiently, with built-in error handling for uninterrupted operation.
- Privacy-Compliant: Focuses solely on publicly available review data, respecting platform terms and user privacy.
- Easy Integration: Seamlessly integrates with Apify's ecosystem for scheduling, monitoring, and data export.
Input Parameters
| Parameter | Type | Required | Description | Example |
|---|---|---|---|---|
| startUrls | array | Yes | An array of URLs pointing to Thumbtack service provider pages from which to scrape reviews. Each URL should be a valid Thumbtack profile link. | [{"url": "https://www.thumbtack.com/ny/yonkers/house-cleaning/bright-elite-cleaning-llc/service/548106735738560518?service_pk=548106735738560518&category_pk=219264413294461288&encoded_answers=eyJzZl9wayI6IjU1Nzc5MDUwODU1NDEwODk0MiIsImFucyI6eyIxIjpbMV19fQ%3D%3D&project_pk=569656516461781006&lp_request_pk=569656516457578510&zip_code=10701&click_origin=pro%20list%2Fclick%20pro%20ratings&hideBack=true&ir_referrer=HOME_PAGE_SEARCH&user_query_pk=569656493650206723"}] |
Example Usage
To run the Actor, provide input parameters in JSON format. Here's an example:
{"startUrls": [{"url": "https://www.thumbtack.com/ny/yonkers/house-cleaning/bright-elite-cleaning-llc/service/548106735738560518?service_pk=548106735738560518&category_pk=219264413294461288&encoded_answers=eyJzZl9wayI6IjU1Nzc5MDUwODU1NDEwODk0MiIsImFucyI6eyIxIjpbMV19fQ%3D%3D&project_pk=569656516461781006&lp_request_pk=569656516457578510&zip_code=10701&click_origin=pro%20list%2Fclick%20pro%20ratings&hideBack=true&ir_referrer=HOME_PAGE_SEARCH&user_query_pk=569656493650206723"}]}
Example output (structured as an array of review objects):
[{"reviewerName": "John Doe","rating": 5,"reviewText": "Excellent service! The team was professional and thorough.","date": "2023-10-15","serviceType": "House Cleaning","url": "https://www.thumbtack.com/ny/yonkers/house-cleaning/bright-elite-cleaning-llc/service/548106735738560518"},{"reviewerName": "Jane Smith","rating": 4,"reviewText": "Good job overall, but arrived a bit late.","date": "2023-09-22","serviceType": "House Cleaning","url": "https://www.thumbtack.com/ny/yonkers/house-cleaning/bright-elite-cleaning-llc/service/548106735738560518"}]
Use Cases
- Market Research: Analyze customer feedback to identify trends in service quality across different categories.
- Competitive Intelligence: Compare reviews of competing service providers to benchmark performance.
- Price Monitoring: Correlate ratings with pricing data to inform competitive pricing strategies.
- Content Aggregation: Build datasets for sentiment analysis or machine learning models on customer satisfaction.
- Academic Research: Collect data for studies on consumer behavior in service industries.
- Business Automation: Automate review monitoring for reputation management and proactive customer service.
Installation and Usage
- Search for "Thumbtack Reviews Scraper" in the Apify Store
- Click "Try for free" or "Run"
- Configure input parameters
- Click "Start" to begin extraction
- Monitor progress in the log
- Export results in your preferred format (JSON, CSV, Excel)
Output Format
The Actor outputs an array of JSON objects, each representing a single review. Key fields include:
reviewerName: The name of the reviewer.rating: Numerical rating (e.g., 1-5 stars).reviewText: The full text of the review.date: Date the review was posted.serviceType: Category of the service reviewed.url: Source URL of the review.
Data is clean and structured for easy parsing, analysis, or export.
Support
For custom/simplified outputs or bug reports, please contact:
- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: https://getdataforme.com/contact/
We're here to help you get the most out of this Actor!
PART 2: Concise Description
Unlock valuable insights from Thumbtack reviews with our reliable scraper! Extract customer ratings, comments, and details effortlessly from service provider profiles. Key features include robust web crawling, structured JSON output, and support for multiple URLs. Perfect for market research, competitive analysis, and reputation monitoring. Get started today and elevate your data strategy! (148 characters)