How to Scrape G2 Company data (Step-by-Step Guide)

How

Company directories on G2 list software vendors across a wide range of product categories and provide structured information about companies, ratings, and market presence. This data is often used to analyse software ecosystems, identify competitors, and build datasets of companies operating in specific technology segments. In this guide, you will learn how to scrape G2 company listings using Web Scraper and extract structured company data directly from directory pages without writing code. The extracted data can be exported in CSV, Excel, or JSON for further analysis, storage, or integration into other systems.


Video Tutorial

You can also explore the full Web Scraper scraping tutorials playlist:

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What Data Can You Extract From G2

G2 company directory pages contain structured information about software vendors, including company details, ratings, and category classifications. This data can be extracted to analyse software markets, build company databases, identify competitors, and track vendor presence across different product categories.

Below are examples of the structured data fields that can be extracted from G2 company listings.

listing_url
company_name
average_rating
review_count
details
category
website_url
year_founded
industries
market_segment


The extracted dataset can be exported in CSV, Excel, or JSON, allowing the data to be analysed, stored, or integrated into other systems.


Method 1 - Use a Prebuilt G2 Company Listings Scraper (Recommended)

The easiest way to scrape G2 company data is to use the ready-made scraper available in the Web Scraper Marketplace.

G2 company listings scraper

https://webscraper.io/marketplace/g2-companies-listings-scraper

Steps:

  1. Open the G2 company listings scraper
  2. Import it into Web Scraper Cloud
  3. Add G2 category URLs as start URLs
  4. Run the scraper
  5. Export the dataset

Example start URL:

https://www.g2.com/categories/live-chat?utf8=%E2%9C%93&order=g2_score&filters%5Bstar_rating%5D%5B%5D=5

The scraper automatically:

  • navigates category pages
  • discovers company listings
  • opens company pages
  • extracts structured company information

This allows you to collect large datasets of company data without building a scraper manually.


Method 2 - Build the G2 Scraper Manually

You can also create a custom scraper using the Web Scraper Chrome extension.

Steps:

  1. Install the Web Scraper Chrome extension
  2. Open a G2 category page. Example: https://www.g2.com/categories/live-chat?utf8=%E2%9C%93&order=g2_score&filters%5Bstar_rating%5D%5B%5D=5
  3. Click the Web Scraper icon in the top-right corner of your browser
  4. The Sitemap Wizard automatically generates selectors for the listing page (detects 15 company cards)
  5. Configure pagination using the pagination selector tool and select the Next button (bottom of results)
  6. Click Select Link and choose company links to follow for detailed profile data
  7. Review generated selectors and modify them if additional data is needed
  8. Run the scraper locally or execute it in Web Scraper Cloud

For more detailed instructions, see the Web Scraper tutorials.


Technical Considerations and Anti-Bot Protections When Scraping G2

When scraping G2 pages, several technical factors may influence data extraction.

Bot protection DataDome, Cloudflare Bot Management
Browser check / fingerprinting Advanced browser and TLS fingerprinting
CAPTCHA presence Challenge pages or CAPTCHA possible
Rendering Hybrid rendering with dynamically loaded content
Proxy requirement Residential proxies recommended
Request throttling 3-6 second delays recommended between requests
Scraping difficulty Medium to High


IP rotation and request management

Large scraping jobs often require distributing requests across multiple IP addresses to avoid temporary restrictions. Web Scraper Cloud automatically manages IP rotation and request handling, helping maintain reliable data extraction across G2 categories.

Category and ranking differences

G2 company listings are organized by software categories and ranking pages. Results vary by selected categories, filters, or sorting options. 15 companies per page, review counts, and rankings update with new reviews.

Anti-bot protections

G2 uses automated detection systems that may limit scraping activity under certain conditions. These systems typically monitor request frequency and traffic patterns to identify automated activity. Using request throttling and rotating proxies can help reduce the likelihood of temporary blocking and maintain stable scraping sessions.


Automate G2 Scraping With Web Scraper Cloud

For large scraping jobs, running scrapers locally can become unreliable. Long runs may stop if the browser closes, and higher request volumes may require request management to avoid temporary blocking.

Web Scraper Cloud executes scrapers on cloud infrastructure and supports automated large-scale data extraction.

With Web Scraper Cloud, you can:

  • Schedule scraping jobs
  • Run long scraping tasks without local execution
  • Export datasets automatically (CSV, Excel, JSON)
  • Send data to external services such as Google Sheets, Dropbox, Amazon S3, and others
  • Integrate data collection workflows using the Web Scraper API

This enables automated monitoring of G2 software listings and continuous dataset updates.


Popular Directory and Company Listings Scrapers

Web Scraper also provides ready-made scrapers for other directory and company listing platforms.

Browse the full scraper library: Web Scraper Marketplace.


Related Scraping Guides

If you want to learn how to scrape other websites, these guides may also be useful.

Browse all scraping tutorials in the Web Scraper Blog.


Common Use Cases for G2 Company Listings Data

Competitive landscape analysis

Companies use G2 listings to identify competitors within specific software categories, compare market positioning, and monitor how different vendors are represented across product segments.

Lead generation

Sales and business development teams extract company listing data from G2 categories to build prospect databases of software vendors and technology companies operating within target markets.

Market research

Researchers analyse G2 company directories to understand software market structure, category distribution, and the presence of vendors across different segments.

Category monitoring

Tracking companies within specific G2 categories helps monitor how vendor ecosystems evolve over time, including the emergence of new products and competitors.

Technology ecosystem analysis

Analysts use G2 company data to map software ecosystems, identify key players within categories, and analyse vendor relationships across the technology landscape.


FAQ

Can G2 company data be scraped?

Yes. G2 category pages contain publicly accessible company listings, review counts, and rankings that can be collected using web scraping tools. Always comply with G2's terms of service and data laws.

What's the best G2 companies scraper?

Web Scraper excels for G2 categories - its Sitemap Wizard auto-detects 15-company grids and handles profile pagination without coding.

Can I scrape G2 without coding?

Yes. Web Scraper's visual wizard captures company names, review scores, and category rankings from G2 listings in 5 clicks - no scripts needed.

What G2 company data can be extracted?

Key fields include company name, category placement, review count, star rating, market presence grid position, and profile links.

How often do G2 rankings update?

Rankings shift with new reviews. Schedule Cloud scrapers weekly to track category leaders, emerging vendors, and review momentum.


Conclusion

Software marketplaces like G2 contain large directories of vendors organised by product categories. Scraping G2 allows analysts and businesses to collect structured data about software companies, analyse vendor ecosystems, and identify potential business opportunities.

Using Web Scraper, G2 company listings can be extracted automatically from category and directory pages without writing code. The scraper can navigate listing pages, follow company profile links, and collect structured company information that can be exported in CSV, Excel, or JSON formats for further analysis or integration into other systems.

For the fastest setup, you can use the ready-made G2 companies listings scraper available in the Web Scraper Marketplace. The template automatically navigates category listings, follows company pages, and extracts structured company data, allowing you to start collecting G2 company listings immediately.



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