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

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

Output Example

[
  {
    "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!