# Export Jira G2 reviews with pros and cons

**Use case:** 

Export Jira reviews from G2 plus its AI-generated pros and cons summary, ratings, reviewer details, dates, and source URLs.

## Input

```json
{
  "url": "https://www.g2.com/products/jira/reviews",
  "limit": 50,
  "sortOrder": "most_recent",
  "publishedAfter": "",
  "starRatings": [],
  "searchQuery": "",
  "includeProsConsSummary": true,
  "includeVideoReviews": false,
  "videoReviewLimit": 0
}
```

## Output

```json
{
  "type": {
    "label": "Type",
    "format": "text"
  },
  "productName": {
    "label": "Product",
    "format": "text"
  },
  "productSlug": {
    "label": "Product slug"
  },
  "resolvedUrl": {
    "label": "Resolved url"
  },
  "reviewId": {
    "label": "Review id"
  },
  "title": {
    "label": "Title",
    "format": "text"
  },
  "starRating": {
    "label": "Rating",
    "format": "number"
  },
  "reviewerName": {
    "label": "Reviewer",
    "format": "text"
  },
  "reviewerTitle": {
    "label": "Reviewer title"
  },
  "date": {
    "label": "Date",
    "format": "text"
  },
  "updatedDate": {
    "label": "Updated",
    "format": "text"
  },
  "text": {
    "label": "Text"
  },
  "reviewerInfo": {
    "label": "Reviewer info"
  },
  "reviewerAvatarUrl": {
    "label": "Reviewer avatar url"
  },
  "reviewerMonogram": {
    "label": "Reviewer monogram"
  },
  "validatedReviewer": {
    "label": "Validated",
    "format": "boolean"
  },
  "validatedMethod": {
    "label": "Validated method"
  },
  "verifiedCurrentUser": {
    "label": "Verified current user"
  },
  "reviewSource": {
    "label": "Review source"
  },
  "incentivized": {
    "label": "Incentivized"
  },
  "markdownContent": {
    "label": "Markdown content"
  },
  "authorName": {
    "label": "Video Author",
    "format": "text"
  },
  "caption": {
    "label": "Video Caption",
    "format": "text"
  },
  "videoId": {
    "label": "Video id"
  },
  "videoThumbnailUrl": {
    "label": "Video thumbnail url"
  },
  "videoPageUrl": {
    "label": "Video URL",
    "format": "link"
  },
  "surveyResponseUrl": {
    "label": "Survey response url"
  }
}
```

## About this Actor

This example demonstrates how to use [G2 Reviews Scraper Real-Time (2026)](https://apify.com/zen-studio/g2-reviews-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/zen-studio/g2-reviews-scraper) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/zen-studio/g2-reviews-scraper.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
