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Tatd Reviews Spider

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Tatd Reviews Spider

Tatd Reviews Spider

The Tatd Reviews Spider is an Apify Actor that scrapes comprehensive customer reviews from TATD websites, capturing names, locations, dates, ratings, and text....

Pricing

from $9.00 / 1,000 results

Rating

0.0

(0)

Developer

GetDataForMe

GetDataForMe

Maintained by Community

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0

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2

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1

Monthly active users

8 days ago

Last modified

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Description

The Tatd Reviews Spider is an Apify Actor that scrapes comprehensive customer reviews from TATD websites, capturing names, locations, dates, ratings, and text....


Tatd Reviews Spider

Introduction

The Tatd Reviews Spider is a powerful Apify Actor designed to scrape and extract customer reviews from TATD (The Association of Travel Agents of Delhi) websites. It efficiently collects detailed review data, including reviewer names, locations, dates, ratings, and review text, enabling businesses and researchers to gain valuable insights into customer sentiments. This tool streamlines data collection for market analysis, reputation management, and competitive intelligence, saving time and effort compared to manual scraping.

Features

  • Comprehensive Review Extraction: Captures full review details such as names, locations, dates, ratings (1-5 scale), and review text from TATD pages.
  • High Reliability and Accuracy: Built with robust error handling to ensure data integrity and minimize missing information.
  • Scalable Performance: Handles multiple URLs efficiently, supporting batch processing for large-scale data collection.
  • Flexible Output Formats: Exports data in JSON, CSV, or Excel, ready for integration into analytics tools or databases.
  • User-Friendly Configuration: Simple input setup with URL lists, requiring no coding expertise.
  • Real-Time Monitoring: Provides logs and progress tracking during runs for transparency and debugging.
  • Ethical Scraping: Adheres to website terms and includes built-in delays to respect rate limits and avoid overloading servers.

Input Parameters

ParameterTypeRequiredDescriptionExample
UrlsarrayNoA list of URLs to scrape reviews from. Must include at least one valid HTTP/HTTPS URL pointing to TATD review pages.["https://www.tatd.in/rating-and-review.php"]

Example Usage

To run the Tatd Reviews Spider, provide the input in JSON format:

{
"Urls": [
"https://www.tatd.in/rating-and-review.php"
]
}

Example output in JSON format:

[
{
"name": "V C Tripathy",
"location": "Noida",
"date": "17 Apr, 2026",
"rating": 5,
"review": "Excellent and very disciplined",
"actor_id": "fUKRfWzVBjtrqozPl",
"run_id": "dmNGXRCFbtuRQRuM7"
},
{
"name": "Navdeep Chopra",
"location": "South Delhi",
"date": "17 Apr, 2026",
"rating": 3,
"review": "Wanted cash, was complaining about payment not been received on time from tatd",
"actor_id": "fUKRfWzVBjtrqozPl",
"run_id": "dmNGXRCFbtuRQRuM7"
},
{
"name": "Aparna G",
"location": "Hyderabad",
"date": "15 Apr, 2026",
"rating": 5,
"review": "He is good.",
"actor_id": "fUKRfWzVBjtrqozPl",
"run_id": "dmNGXRCFbtuRQRuM7"
}
]

Use Cases

  • Market Research and Analysis: Analyze customer feedback to identify trends in travel agent services and improve offerings.
  • Competitive Intelligence: Monitor reviews of competitors to benchmark performance and uncover strengths/weaknesses.
  • Reputation Management: Track online sentiment for TATD members to respond to negative reviews promptly.
  • Content Aggregation: Collect and aggregate reviews for content creation, such as blog posts or reports on travel industry insights.
  • Academic Research: Gather data for studies on consumer behavior in the travel sector.
  • Business Automation: Automate review monitoring for dashboards or alerts on new feedback.

Installation and Usage

  1. Search for "Tatd Reviews Spider" in the Apify Store
  2. Click "Try for free" or "Run"
  3. Configure input parameters
  4. Click "Start" to begin extraction
  5. Monitor progress in the log
  6. Export results in your preferred format (JSON, CSV, Excel)

Output Format

The Actor outputs data as a JSON array of objects, each representing a single review. Key fields include:

  • name: Reviewer's name (string).
  • location: Reviewer's location (string).
  • date: Review date in "DD MMM, YYYY" format (string).
  • rating: Numerical rating from 1 to 5 (integer).
  • review: Full review text (string).
  • actor_id: Unique identifier for the Actor run (string).
  • run_id: Unique identifier for the specific run (string).

This structured format ensures easy parsing and integration into downstream applications.

Support

For custom/simplified outputs or bug reports, please contact:

We're here to help you get the most out of this Actor!