# Research Slack strengths from positive G2 reviews

**Use case:** 

Export 4-5 star G2 reviews for slack with ratings, pros, cons, dates and reviewer context for product research.

## Input

```json
{
  "mode": "product_reviews",
  "productUrls": [
    "slack"
  ],
  "maxReviews": 25,
  "starRatings": [
    "4",
    "5"
  ],
  "maxRetries": 6,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

## Output

```json
{
  "productName": {
    "label": "📦 Product",
    "format": "text"
  },
  "productSlug": {
    "label": "Product Slug",
    "format": "text"
  },
  "reviewId": {
    "label": "Review ID",
    "format": "text"
  },
  "rating": {
    "label": "⭐ Rating",
    "format": "number"
  },
  "starRatingBucket": {
    "label": "Star Bucket",
    "format": "number"
  },
  "title": {
    "label": "Review Title",
    "format": "text"
  },
  "reviewerName": {
    "label": "👤 Reviewer",
    "format": "text"
  },
  "reviewerRole": {
    "label": "Role",
    "format": "text"
  },
  "companySize": {
    "label": "🏢 Company Size",
    "format": "text"
  },
  "industry": {
    "label": "Industry",
    "format": "text"
  },
  "isAnonymous": {
    "label": "Anonymous",
    "format": "boolean"
  },
  "likeBest": {
    "label": "👍 Likes Best",
    "format": "text"
  },
  "dislike": {
    "label": "👎 Dislikes",
    "format": "text"
  },
  "problemsSolved": {
    "label": "🛠️ Problems Solved",
    "format": "text"
  },
  "publishedAt": {
    "label": "📅 Published",
    "format": "date"
  },
  "reviewUrl": {
    "label": "🔗 Review URL",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [G2 Reviews Scraper — Deep Data, Monitoring & Reliable Export](https://apify.com/trakk/g2-reviews-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/trakk/g2-reviews-scraper.md) 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).
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- **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/trakk/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).