# Find why customers leave one-star Slack reviews

**Use case:** 

Pull only the one-star Slack reviews on G2, recent ones plus older archive reviews, de-duplicated. Each row keeps the dislikes and the problems the product was supposed to solve in separate fields, which is the fastest raw material for churn and win/loss work. Capped at 40 reviews per product, so the run costs about four cents.

## Input

```json
{
  "productUrls": [
    "slack"
  ],
  "source": "auto",
  "maxReviewsPerProduct": 40,
  "minRating": 1,
  "maxRating": 1,
  "includeHistorical": true,
  "aiTasks": [],
  "aiProvider": "openai",
  "aiModel": "claude-haiku-4-5-20251001",
  "maxAiReviews": 40,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "BUYPROXIES94952"
    ]
  }
}
```

## Output

```json
{
  "recordType": {
    "label": "Record type"
  },
  "productName": {
    "label": "Product"
  },
  "productSlug": {
    "label": "Product slug"
  },
  "rating": {
    "label": "Rating"
  },
  "reviewTitle": {
    "label": "Review title"
  },
  "reviewerName": {
    "label": "Reviewer"
  },
  "reviewerRole": {
    "label": "Reviewer role"
  },
  "reviewerCompanySize": {
    "label": "Company size"
  },
  "reviewerIndustry": {
    "label": "Industry"
  },
  "likeBest": {
    "label": "Likes"
  },
  "dislike": {
    "label": "Dislikes"
  },
  "problemsSolved": {
    "label": "Problems solved"
  },
  "publishedDate": {
    "label": "Published"
  },
  "sentiment": {
    "label": "Sentiment"
  },
  "reviewUrl": {
    "label": "Review URL"
  },
  "source": {
    "label": "Source"
  },
  "scrapedAt": {
    "label": "Scraped at"
  }
}
```

## About this Actor

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


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

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

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).