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GetEm Jobs

GetEm Jobs - AI-Powered Job Application Automation
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GetEm Jobs
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Introduction

GetEm Jobs is an AI-assisted job application automation platform that streamlines the job search process. It uses smart AI technology to automate applications and find the best job matches efficiently. The platform is designed to save time and reduce stress for job seekers by comparing resumes with job descriptions across top listing sites, providing tailored search results, and automating application submissions.

Feature

AI-Powered Matching

  • Compares resume with job descriptions across top job listing sites
  • Provides tailored job search results aligned with skills and experience
  • Assigns scores to each job and highlights top scoring phrases
  • Helps users quickly determine job fit

Integrated With Job Search Sites

  • Works seamlessly with popular job sites
  • Automatically fills in job applications with saved user information

Stress-Free Job Hunting

  • Requires only a few minutes of daily user input
  • Reduces emotional stress of job searching
  • Automates tedious parts of job applications

Rapid Application Process

  • Accelerates job application process with automated tools
  • Allows users to focus on interview preparation

Easy Setup and Use

  1. Install from Chrome Web Store
  2. Upload resume
  3. Set search parameters on job listing site
  4. Start searching and applying

FAQ

How does GetEm Jobs work?

GetEm Jobs utilizes AI technology to automate job applications and find the best job matches based on your skills and experience.

Is GetEm Jobs free?

GetEm Jobs offers a 10-day trial period, after which users can subscribe to continue using the service.

How do I get started with GetEm Jobs?

To get started, install GetEm Jobs from the Chrome Web Store, upload your resume, set your search parameters on the job listing site, and begin searching and applying for jobs.

Latest Traffic Insights

  • Monthly Visits

    193.90 M

  • Bounce Rate

    56.27%

  • Pages Per Visit

    2.71

  • Time on Site(s)

    115.91

  • Global Rank

    -

  • Country Rank

    -

Recent Visits

Traffic Sources

  • Social Media:
    0.48%
  • Paid Referrals:
    0.55%
  • Email:
    0.15%
  • Referrals:
    12.81%
  • Search Engines:
    16.21%
  • Direct:
    69.81%
More Data

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Features:

* Easy to use: Simply provide a search query and the library will return a list of product results.
* Flexible: You can customize your scraping by specifying filters, such as price range, brand, and category.
* Efficient: The library uses asynchronous requests to speed up the scraping process.
* Reliable: The library is designed to handle rate limits and other website restrictions.

Installation:

```bash
pip install aiscraper
```

Usage:

```python
from aiscraper import AIScraper

Create an instance of the AIScraper class
scraper = AIScraper()

Perform a search for "laptops"
results = scraper.search("laptops")

Print the product titles
for result in results:
    print(result["title"])
```

Documentation:

https://github.com/aiscraper/aiscraper
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AIScraper This is a Python library for scraping data from websites that use the Amazon Interactive Search (AIS) API. Features: * Easy to use: Simply provide a search query and the library will return a list of product results. * Flexible: You can customize your scraping by specifying filters, such as price range, brand, and category. * Efficient: The library uses asynchronous requests to speed up the scraping process. * Reliable: The library is designed to handle rate limits and other website restrictions. Installation: ```bash pip install aiscraper ``` Usage: ```python from aiscraper import AIScraper Create an instance of the AIScraper class scraper = AIScraper() Perform a search for "laptops" results = scraper.search("laptops") Print the product titles for result in results: print(result["title"]) ``` Documentation: https://github.com/aiscraper/aiscraper

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