# Compare Slack And Microsoft Teams Reviews On G2

**Use case:** 

Collect recent G2 reviews for Slack and Microsoft Teams to help IT leaders compare collaboration platforms for large organizations. Each review can include its rating, title, pros, cons, author name, and publication date. Change startUrls to compare other G2 products and maxItems to adjust the review limit.

## Input

```json
{
  "mode": "reviews",
  "startUrls": [
    "slack",
    "microsoft-teams"
  ],
  "maxItems": 20,
  "starRatings": [],
  "companySizes": [],
  "reviewerRoles": [],
  "reviewerRegions": [],
  "sortBy": "newest"
}
```

## Output

```json
{
  "productName": {
    "label": "Product",
    "format": "string"
  },
  "starRating": {
    "label": "Stars",
    "format": "integer"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "authorName": {
    "label": "Author",
    "format": "string"
  },
  "reviewTitle": {
    "label": "Title",
    "format": "string"
  },
  "pros": {
    "label": "Pros",
    "format": "string"
  },
  "cons": {
    "label": "Cons",
    "format": "string"
  },
  "publishDate": {
    "label": "Date",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The G2 Software Reviews, Product Info & Competitor Extractor Actor is ready to run with the inputs already set for "Compare Slack And Microsoft Teams Reviews On G2". [Sign up or log in](https://console.apify.com/create-task-from-example/ZvqYQK38ijOySmnAJ) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Compare Slack And Microsoft Teams Reviews On G2" task

The G2 Software Reviews, Product Info & Competitor Extractor Actor will start running based on the input automatically. You can also change all the input fields, like mode, g2 product urls or slugs, and more, to match your specific use case.

### 3. Receive the "Compare Slack And Microsoft Teams Reviews On G2" 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 product, stars, rating, and more.

### 4. 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 "Compare Slack And Microsoft Teams Reviews On G2" task via API](https://apify.com/dataspryva/g2-software-reviews-product-info-and-competitor.md).

## FAQ

### What data does the G2 software reviews task collect?

The G2 reviews task collects public reviews with product names, ratings, reviewer names, titles, pros, cons, and publication dates when G2 provides them.

### How many Slack and Microsoft Teams reviews can one run return?

The G2 reviews task is set to return up to 20 reviews per product, with the newest reviews first. The limit applies separately to each product.

### How do I compare reviews for other G2 products?

To compare other products with the G2 reviews task, replace the product slugs or URLs in the task input. You can also change the review limit and sort order.

### Can I export G2 software reviews to CSV or Excel?

After running the G2 reviews task, you can download its dataset as CSV, Excel, JSON, XML, RSS, or an HTML table, or access it through the Apify API.

### How much does it cost to collect G2 reviews?

For the G2 reviews task's limit of 20 per product, the result charge is at most $0.02 on the Free plan. Actor start and Apify compute charges may also apply.

### Do I need a G2 login or API key to collect reviews?

The G2 reviews task reads public G2 pages and feeds and does not require a G2 account or API key.

### Can I schedule G2 software review collection or run it through an API?

You can run the G2 reviews task on a schedule, through the Apify API, or from integrations such as Zapier, Make, and n8n.

## About this Actor

This example demonstrates how to use [G2 Software Reviews, Product Info & Competitor Extractor](https://apify.com/dataspryva/g2-software-reviews-product-info-and-competitor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/dataspryva/g2-software-reviews-product-info-and-competitor.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/dataspryva/g2-software-reviews-product-info-and-competitor.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`).