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TaskAGI

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97%
Last updated
8 days ago

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Data Scraping eCommerce
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G2 Scraper

Scrape product & company reviews and extract top companies by keyword.
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24 Jan, 2024
Active since
Overall rating

Overview

What is G2 Scraper?

G2 Scraper is a powerful tool designed to extract valuable data from G2.com, the leading platform for business software reviews. This scraper allows you to gather comprehensive information about software products, user reviews, and market trends, providing you with actionable insights for your business decisions.

What Does G2 Scraper Do?

  • Extracts detailed product information from G2.com
  • Collects user reviews and ratings
  • Gathers data on product features and comparisons
  • Compiles market trends and category rankings
  • Provides insights into user demographics and company sizes

Data Provided by G2 Scraper

Data Point Description
Review ID Unique identifier for each review
Author Information Reviewer's name, position, and company size
Rating Star rating given by the reviewer
Review Content Title, text, and specific question responses
Product Details Name, URL, and vendor information
Metadata Review date, tags, and verification status

Benefits of Using G2 Scraper

  1. Competitive Analysis: Gain insights into competitor products and their user feedback.
  2. Market Research: Understand market trends and user preferences in various software categories.
  3. Product Development: Identify features users value most and areas for improvement.
  4. Lead Generation: Find potential customers based on their software needs and company profiles.
  5. Content Creation: Generate data-driven content for marketing and thought leadership.

Industries That Can Benefit from G2 Scraper

  • Software Development Companies
  • Marketing Agencies
  • Market Research Firms
  • Venture Capital and Investment Companies
  • Business Consultancies
  • Product Management Teams
  • Sales and Lead Generation Companies

Available on RapidAPI

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G2 Scraper

Description

The G2 Scraper API allows you to extract detailed software product information and reviews from G2.com. This powerful tool enables developers to integrate G2 data into their applications, conduct market research, or monitor trends and user feedback across various software products and categories.

How to Use

To use the G2 Scraper API, you'll need to authenticate your requests using your API key. The API provides two endpoints for retrieving product information and reviews:

Endpoints

  • POST https://taskagi.net/api/b2b/g2-scraper/product-reviews - Retrieve product reviews for a specific software product
  • POST https://taskagi.net/api/b2b/g2-scraper/product-overview - Retrieve an overview of a specific software product

Authentication

Include your API key in the request headers:

Authorization: Bearer YOUR_API_KEY

Request Body

The request body should be a JSON object with the following structure:


// For product-reviews endpoint
{
    "url": "https://www.g2.com/products/product-name/reviews"
}

// For product-overview endpoint
{
    "url": "https://www.g2.com/products/product-name"
}

Rate Limiting

Please note that usage is subject to rate limiting. Refer to your plan details for specific limits.


import requests
import json

# Your API Key
api_key = 'YOUR_API_KEY'

# API Endpoint for product reviews
url = 'https://taskagi.net/api/b2b/g2-scraper/product-reviews'

# Headers
headers = {
    'Authorization': f'Bearer {api_key}',
    'Content-Type': 'application/json'
}

# Request Body
data = {
    'url': 'https://www.g2.com/products/example-product/reviews'
}

# Send POST request
response = requests.post(url, headers=headers, json=data)

# Check if the request was successful
if response.status_code == 200:
    # Parse the JSON response
    product_reviews = response.json()
    
    # Print the product reviews
    print(json.dumps(product_reviews, indent=2))
else:
    print(f"Error: {response.status_code}")
    print(response.text)

# API Endpoint for product overview
url = 'https://taskagi.net/api/b2b/g2-scraper/product-overview'

# Request Body
data = {
    'url': 'https://www.g2.com/products/example-product'
}

# Send POST request
response = requests.post(url, headers=headers, json=data)

# Check if the request was successful
if response.status_code == 200:
    # Parse the JSON response
    product_overview = response.json()
    
    # Print the product overview
    print(json.dumps(product_overview, indent=2))
else:
    print(f"Error: {response.status_code}")
    print(response.text)

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