# Infojobs Reviews Spider (`getdataforme/infojobs-reviews-spider`) Actor

This Apify Actor scrapes customer reviews from Infojobs websites, extracting ratings, comments, and metadata to provide valuable insights into user sentiment....

- **URL**: https://apify.com/getdataforme/infojobs-reviews-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, E-commerce, Integrations
- **Stats:** 7 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$13.67 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## Infojobs Reviews Spider

### Introduction

The Infojobs Reviews Spider is a powerful Apify Actor designed to scrape and extract customer reviews from Infojobs websites, providing valuable insights into product and service feedback. It automates the collection of review data, including ratings, comments, and metadata, enabling users to analyze public sentiment efficiently. This tool is ideal for businesses, researchers, and analysts seeking to gather authentic user opinions without manual effort.

### Features

- **Comprehensive Review Extraction**: Captures detailed review data such as ratings, body text, dates, and product names from Infojobs pages.
- **Reliable Data Quality**: Ensures accurate and structured output with consistent formatting, minimizing errors in scraped content.
- **High Performance**: Handles multiple URLs concurrently for fast, scalable scraping operations.
- **Flexible Input Options**: Supports custom URL lists for targeted scraping of specific products or companies.
- **JSON Output**: Delivers clean, machine-readable data suitable for integration with analytics tools or databases.
- **Error Handling**: Includes built-in mechanisms to manage site changes or access issues gracefully.
- **No Coding Required**: User-friendly interface for easy setup and execution on the Apify platform.

### Input Parameters

| Parameter | Type   | Required | Description | Example |
|-----------|--------|----------|-------------|---------|
| Urls      | array  | No       | A list of URLs to scrape reviews from. Each URL must be a valid HTTP or HTTPS link pointing to an Infojobs review page. | \["https://www.infojobs.com.br/lojas-marisa/availacoes"] |

### Example Usage

#### Input Configuration

```json
{
  "Urls": [
    "https://www.infojobs.com.br/lojas-marisa/availacoes"
  ]
}
```

#### Output Example

```json
[
  {
    "Rating": "3.0",
    "Body": null,
    "Source": "Infojobs",
    "Full_Review": null,
    "Review_Type": "Product Review",
    "Date": "2026-01-22",
    "Product_Name": "Lojas Marisa",
    "URL": "www.marisa.com.br",
    "Crawled_Date": "01-23-2026"
  },
  {
    "Rating": "5.0",
    "Body": "Empresa com oportunidade de crescimento",
    "Source": "Infojobs",
    "Full_Review": "Empresa com oportunidade de crescimento",
    "Review_Type": "Product Review",
    "Date": "2026-01-22",
    "Product_Name": "Lojas Marisa",
    "URL": "www.marisa.com.br",
    "Crawled_Date": "01-23-2026"
  },
  {
    "Rating": "3.0",
    "Body": null,
    "Source": "Infojobs",
    "Full_Review": null,
    "Review_Type": "Product Review",
    "Date": "2026-01-21",
    "Product_Name": "Lojas Marisa",
    "URL": "www.marisa.com.br",
    "Crawled_Date": "01-23-2026"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gather customer feedback to identify trends and improve product offerings.
- **Competitive Intelligence**: Monitor competitors' reviews to benchmark performance and uncover strengths/weaknesses.
- **Sentiment Analysis**: Feed data into NLP tools for automated sentiment scoring and insights.
- **Content Aggregation**: Compile reviews for blogs, reports, or dashboards to showcase user experiences.
- **Academic Research**: Collect data for studies on consumer behavior and online reputation.
- **Business Automation**: Integrate with CRM systems to track customer satisfaction over time.

### Installation and Usage

1. Search for "Infojobs Reviews Spider" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)

### Output Format

The Actor outputs data as a JSON array of objects, each representing a single review. Key fields include:

- **Rating**: Numerical rating (e.g., "3.0").
- **Body**: The review text, if available (may be null).
- **Source**: Always "Infojobs".
- **Full_Review**: Complete review text (may match Body or be null).
- **Review_Type**: Typically "Product Review".
- **Date**: Review publication date.
- **Product_Name**: Name of the reviewed product or company.
- **URL**: Associated website URL.
- **Crawled_Date**: Date when the data was scraped.

This structured format ensures easy parsing and integration.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!

# Actor input Schema

## `Urls` (type: `array`):

The urls for the spider.

## `item_limit` (type: `integer`):

The maximum number of items to scrape.

## Actor input object example

```json
{
  "Urls": [
    "https://www.infojobs.com.br/lojas-marisa/availacoes"
  ],
  "item_limit": 30
}
```

# Actor output Schema

## `results` (type: `string`):

Scraped data items from dataset

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "Urls": [
        "https://www.infojobs.com.br/lojas-marisa/availacoes"
    ],
    "item_limit": 30
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/infojobs-reviews-spider").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "Urls": ["https://www.infojobs.com.br/lojas-marisa/availacoes"],
    "item_limit": 30,
}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/infojobs-reviews-spider").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "Urls": [
    "https://www.infojobs.com.br/lojas-marisa/availacoes"
  ],
  "item_limit": 30
}' |
apify call getdataforme/infojobs-reviews-spider --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/infojobs-reviews-spider"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/abCgOprpU0ZyrcKMO/builds/MSIgKYZFVKFqBKDmx/openapi.json