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G2 Reviews for RAG & LLM Pipelines (Markdown)

Export G2 software reviews as clean markdown for RAG and fine-tuning: structured pros/cons, six sub-ratings and per-review markdownContent. $4/1K.

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G2 Software Reviews Scraper · Battlecards + Switching Data
G2 Software Reviews Scraper · Battlecards + Switching Datafactden/g2-reviews-scraper
Markdown content (LLM-ready)
Review title
Pros
Cons
+7 fields
Text
Number
Boolean
List
Object

Input

G2 product URLs or slugs:slack
Max reviews per product:100

Output fields

Markdown content (LLM-ready)
Review title
Pros
Cons
Problems solved
Recommendations
Overall rating
Reviewer industry
Company size
Previous competitors
Why switched

How it works

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The G2 Software Reviews Scraper · Battlecards + Switching Data Actor is ready to run with the inputs already set for "G2 Reviews for RAG & LLM Pipelines (Markdown)". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "G2 Reviews for RAG & LLM Pipelines (Markdown)" task

The G2 Software Reviews Scraper · Battlecards + Switching Data Actor will start running based on the input automatically. You can also change all the input fields, like g2 product urls or slugs and max reviews per product, to match your specific use case.

Receive the "G2 Reviews for RAG & LLM Pipelines (Markdown)" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as markdown content (llm-ready), review title, pros, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "G2 Reviews for RAG & LLM Pipelines (Markdown)" task via API.

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