# GoodFirms Software Company Client Sentiment Analysis

**Use case:** 

Analyze client feedback for software development companies on GoodFirms by collecting review ratings, review content, quality scores, reviewer details, profile URLs, and company responses. Use the data to evaluate customer satisfaction and identify recurring service strengths and weaknesses.

## Input

```json
{
  "company_urls": [
    "https://www.goodfirms.co/company/sdlc-corp",
    "https://www.goodfirms.co/company/eleks",
    "https://www.goodfirms.co/company/hidden-brains"
  ],
  "max_items_per_url": 30
}
```

## Output

```json
{
  "companyProfileUrl": {
    "label": "Company Profile URL",
    "format": "link"
  },
  "reviewId": {
    "label": "Review ID",
    "format": "text"
  },
  "reviewUrl": {
    "label": "Review URL",
    "format": "link"
  },
  "reviewTitle": {
    "label": "Review Title",
    "format": "text"
  },
  "reviewDate": {
    "label": "Review Date",
    "format": "text"
  },
  "reviewSummary": {
    "label": "Review Summary",
    "format": "text"
  },
  "reviewerName": {
    "label": "Reviewer Name",
    "format": "text"
  },
  "reviewerRole": {
    "label": "Reviewer Role",
    "format": "text"
  },
  "reviewerImage": {
    "label": "Reviewer Image",
    "format": "image"
  },
  "ratingQuality": {
    "label": "Rating - Quality",
    "format": "text"
  },
  "ratingSchedule": {
    "label": "Rating - Schedule & Timing",
    "format": "text"
  },
  "ratingCommunication": {
    "label": "Rating - Communication",
    "format": "text"
  },
  "ratingOverall": {
    "label": "Rating - Overall",
    "format": "text"
  },
  "projectName": {
    "label": "Project Name",
    "format": "text"
  },
  "serviceProvided": {
    "label": "Service Provided",
    "format": "text"
  },
  "projectDescription": {
    "label": "Project Description",
    "format": "text"
  },
  "mostAppreciated": {
    "label": "Most Appreciated",
    "format": "text"
  },
  "improvement": {
    "label": "Improvement Feedback",
    "format": "text"
  },
  "projectCost": {
    "label": "Project Cost",
    "format": "text"
  },
  "projectStatus": {
    "label": "Project Status",
    "format": "text"
  },
  "projectIndustry": {
    "label": "Project Industry",
    "format": "text"
  },
  "companyResponse": {
    "label": "Company Response",
    "format": "text"
  },
  "companyResponseDate": {
    "label": "Company Response Date",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [GoodFirms Company Reviews Scraper - Low-cost💲🔥🔍⭐](https://apify.com/delectable_incubator/goodfirms-company-reviews-scraper-low-cost.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/delectable_incubator/goodfirms-company-reviews-scraper-low-cost.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/delectable_incubator/goodfirms-company-reviews-scraper-low-cost.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`).