Indiamart Reviews Scraper

Introduction

The Indiamart Reviews Scraper is designed to efficiently extract customer reviews from Indiamart testimonial pages. This actor provides businesses and researchers with valuable insights into customer feedback, enabling informed decision-making and strategic planning.

Features

• Efficient Data Extraction: Quickly scrape reviews from Indiamart testimonial pages.
• High Data Quality: Ensures accurate and reliable data collection.
• Customizable Crawling: Set maximum requests and proxy configurations for tailored scraping.
• Comprehensive Output: Provides detailed review data including buyer information and ratings.
• Scalable Performance: Handles large volumes of data with ease.
• Proxy Support: Utilize Apify's residential proxies for anonymity and access.
• User-Friendly Interface: Simple setup and execution through the Apify platform.

Input Parameters

Parameter	Type	Required	Description	Example
startUrls	Array	Yes	URLs to start with.	["https://export.indiamart.com/company/confider-industries/testimonial.html"]
maxItems	Integer	No	Maximum number of requests that can be made by this crawler.	100
proxyConfiguration	Object	No	Specifies proxy servers that will be used by the scraper to hide its origin.	{ "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" }

Example Usage

Example Input JSON

{
  "startUrls": [
    "https://export.indiamart.com/company/confider-industries/testimonial.html"
  ],
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

Example Output JSON

[
  {
    "BUYER_CITY_NAME": "Sydney",
    "BUYER_COMPANY_NAME": "",
    "BUYER_COUNTRY_NAME": "Australia",
    "BUYER_NAME": "Navin Chandra",
    "BUYER_STATE_NAME": "New South Wales",
    "DISABLED_RATING_CNT": "1",
    "FK_GLUSR_BUYER_ID": 7829056,
    "FK_GLUSR_RATING_SOURCE": "-111",
    "FK_GLUSR_RATING_TYPE": 3,
    "FK_GLUSR_SUPPLIER_ID": 120610147,
    "GLUSR_RATING_COMMENTS": "",
    "GLUSR_RATING_DATE": "03-01-26",
    "GLUSR_RATING_DISPLAY_STATUS": "0",
    "GLUSR_RATING_ID": 18445987,
    "GLUSR_RATING_MODID": "ANDROID",
    "GLUSR_RATING_MODREF_ID": "3090015762",
    "GLUSR_RATING_PARAMETER": "",
    "GLUSR_RATING_REPLY_DATE": "06-02-26",
    "GLUSR_RATING_VALUE": 1,
    "RATING_IMGS": "null",
    "RATING_INFLU_PARAMS": "{\"0\":\"\",\"1\":\"\"}",
    "RATING_INFLU_PARAMS_NAME": "{\"0\":\"\",\"1\":\"\"}",
    "RATING_MCAT_ID": 164129,
    "RATING_MCAT_NAME": "Kandap Machine",
    "RATING_MODREF_NAME": "Masala Kandap Machine",
    "RATING_REVIEW_ABUSE_CNT": null,
    "RATING_REVIEW_USEFULNESS": null,
    "RATING_REVIEW_USEFUL_LABEL": null,
    "SORT_TIMESTAMP": "260103000000",
    "SUPPLIER_COMMENTS": "why give 1 star",
    "SUPPLIER_COMPANY_NAME": "",
    "SUPPLIER_NAME": ""
  }
]

Use Cases

• Market Research and Analysis: Gather insights into customer preferences and trends.
• Competitive Intelligence: Monitor competitor reviews and ratings.
• Price Monitoring: Track product feedback related to pricing.
• Content Aggregation: Compile reviews for content creation and analysis.
• Academic Research: Study consumer behavior and feedback patterns.
• Business Automation: Automate the collection of customer feedback for strategic planning.

Installation and Usage

1. Search for "Indiamart Reviews Scraper" 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 output is a JSON array containing detailed review data. Key fields include BUYER_NAME, BUYER_COUNTRY_NAME, GLUSR_RATING_VALUE, and GLUSR_RATING_COMMENTS, providing comprehensive insights into each review.

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!