https://github.com/rrmn/crowdr

Scrape g2crowd reviews with R
https://github.com/rrmn/crowdr

r web-scraping

Last synced: about 1 year ago
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Scrape g2crowd reviews with R

• Host: GitHub
• URL: https://github.com/rrmn/crowdr
• Owner: rrmn
• License: mit
• Created: 2019-01-04T09:32:13.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2019-01-12T15:32:24.000Z (over 7 years ago)
• Last Synced: 2025-01-21T00:49:49.857Z (over 1 year ago)
• Topics: r, web-scraping
• Language: R
• Size: 16.6 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# crowdr

Scrape g2crowd reviews with R

# Usage

## Scrape urls from category pages

    scrape_urls(category)

Example usage:

    > scrape_urls("crm")

    # A tibble: 330 x 4

       name                            no_reviews avg_rating url                                              

                                                                                          

     1 Salesforce CRM                        7177        4.2 https://www.g2crow…

     2 HubSpot CRM                           2241        4.2 https://www.g2crow…

     3 Microsoft Dynamics 365 for Sal…        868        3.6 https://www.g2crow…

     4 Freshsales                             444        4.7 https://www.g2crow…

     5 Pipedrive                              787        4.3 https://www.g2crow…

     6 Zoho CRM                               890        3.8 https://www.g2crow…

     7 Zendesk Sell                           323        4.2 https://www.g2crow…

     8 Copper                                 388        4.6 https://www.g2crow…  

     9 PipelineDeals                          525        4.4 https://www.g2crow…

    10 Nimble                                 550        4.5 https://www.g2crow…  

    # … with 320 more rows

    

    

## Scrape review texts from urls (not functional, yet)

    scrape_reviews(urls)

# Changelog 

## 2019-01-12 v0.2.1

Updates

* Output data type bug fixed

## 2019-01-12 v0.2.0

Updates

* scrape_urls() works as intended

Known Bugs

* Output data type is "factor"