G2 Dataset
Access pre-compiled datasets containing G2 software product records with ratings, reviews, Grid positioning, and feature comparisons across all technology categories. Our curated datasets include verified products and authentic customer feedback.
Get instant access to structured software review data without web scraping complexity. Ideal for researchers, analysts, and businesses requiring large-scale software market intelligence for strategic decision-making.
- 84,396 new entries per day (see new entries graph)
Warning: This dataset is available only to enterprise customers. Please contact us for more details.
G2 Dataset Use Cases
Software Industry Research
Conduct research on software adoption patterns, feature trends, and customer satisfaction drivers with comprehensive review data. Access clean, structured datasets perfect for technology market analysis.
Investment Due Diligence
Evaluate software companies using customer satisfaction trends, market positioning, and competitive dynamics. Assess product-market fit and growth potential based on review sentiment and momentum.
Procurement & Vendor Selection
Compare software solutions systematically using aggregated customer feedback and ratings. Make data-driven technology buying decisions based on peer experiences and satisfaction metrics.
Product Analytics Platform Development
Build software intelligence tools, market analysis dashboards, and vendor tracking systems using rich review datasets. Enhance B2B products with competitive and market intelligence.
G2 Dataset New Entries
The graph below contains real data based on our scraping operations. Latest update was 5 minutes ago.
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G2 Dataset Benefits
Traditional data acquisition methods can be time-consuming, expensive, and often result in incomplete datasets.
Companies waste valuable resources and development time creating and maintaining their own data collection systems.
Rebrowser's ready-to-use G2 dataset provides instant access to clean, structured data without any infrastructure headaches.
Contact Us →Immediate Availability
Access ready-to-use data instantly instead of waiting weeks or months to build your own data collection pipeline.
Structured & Clean Data
All datasets are thoroughly processed, normalized, and validated to ensure high-quality, consistent information.
Zero Maintenance
We handle all updates and data freshness, allowing you to focus on using the data rather than collecting it.
Cost Efficiency
Save thousands in development and infrastructure costs by leveraging our pre-built dataset instead of creating your own.
Disclaimer: Rebrowser is an independent data provider and is not affiliated with, endorsed by, or sponsored by G2. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect G2 user credentials. By using this dataset, you agree to comply with G2's Terms of Service and all applicable laws and regulations. Images, logos, descriptions, and other materials included in this dataset remain the intellectual property of their respective owners and are provided solely for informational purposes. Rebrowser makes no warranties regarding the accuracy, completeness, or legality of the data and assumes no liability for how the data is used. You are solely responsible for ensuring that your use of this dataset, including any images or copyrighted materials, does not infringe on the rights of any third party.
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Frequently Asked Questions
This dataset provides comprehensive G2 software listings with ratings, reviews, pricing information, and feature comparisons. You can browse, filter, and export data by category, company size, rating, and industry in multiple formats.
The dataset includes overall satisfaction scores, ease of use ratings, quality of support scores, and likelihood to recommend metrics. Analyze how products perform across different evaluation criteria and compare competitive positioning.
Review data includes detailed customer feedback, pros and cons, use case descriptions, and reviewer profiles. Study what users value most, identify common pain points, and understand satisfaction drivers across software categories.
The dataset includes product names, vendor information, feature lists, pricing details, deployment options, and target customer segments. Analyze product positioning and competitive differentiation across software markets.
Track review velocity, satisfaction scores, Grid positioning, and award recognition to identify successful products. Analyze which software gains market share and what factors contribute to positive momentum.
Yes — the dataset includes Grid Report positioning, category leadership indicators, and competitive quadrant placement. Study how products rank against competitors and track leadership changes over time.
Use G2 data to compare satisfaction scores, feature coverage, pricing, and customer feedback across competing products. Analyze strengths and weaknesses to inform buying decisions or competitive strategy.
Products include pricing models, starting prices, free trial availability, and deployment options (cloud, on-premise, hybrid). Analyze pricing strategies and how they correlate with customer satisfaction.
Track new product listings and profile creations over time. Monitor market entry activity, identify emerging vendors, and spot new solutions in specific software categories.
The dataset is refreshed regularly to capture new reviews, rating changes, product updates, and Grid Report releases. Historical data enables trend analysis and market evolution tracking.
Software vendors use the dataset to track competitive positioning, analyze review sentiment, benchmark features, and understand customer satisfaction drivers to inform product and marketing strategy.
Yes — filter by reviewer company size (small business, mid-market, enterprise) and industry to understand how products perform for specific customer segments. Analyze segment-specific needs and satisfaction.
The dataset includes integration listings, feature availability, and capability mappings. Study which integrations are most important, how feature sets compare, and where gaps exist in product offerings.
Data can be exported in CSV, JSON, XLSX, Parquet, and NDJSON formats. Apply filters and select specific fields before exporting to get the precise dataset you need for your analysis or application.
Analysts use the dataset to size software markets, track vendor consolidation, analyze feature trends, and understand buyer preferences across technology categories and enterprise segments.
