Remote Jobs Scraper

Remote Jobs Scraper helps you discover and analyze remote job opportunities by collecting structured job listing data based on keywords, employment types, and workplace preferences. It delivers clean, ready-to-use datasets that simplify job market research and career tracking.

     

Created by Bitbash, built to showcase our approach to Scraping and Automation!
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Introduction

This project gathers remote job listings from online sources and normalizes them into structured data. It solves the challenge of manually tracking scattered job postings across platforms. It’s designed for job seekers, analysts, recruiters, and researchers who need reliable remote jobs data at scale.

Remote Job Market Intelligence

• Collects job listings using keyword-driven searches
• Supports filtering by employment type and workplace location
• Outputs structured data suitable for analytics and automation
• Scales efficiently for small queries or large datasets

Features

Feature	Description
Keyword-based search	Target specific roles such as developers, designers, or analysts.
Employment filters	Narrow results by full-time, part-time, or contract roles.
Workplace preferences	Focus on remote, hybrid, or on-site opportunities.
Structured output	Clean JSON data ready for processing or storage.
Scalable extraction	Handles small batches or large job searches efficiently.

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What Data This Scraper Extracts

Field Name	Field Description
query	Search keyword used for job discovery.
employmentType	Type of employment offered for the role.
workplaceLocation	Workplace preference such as remote or hybrid.
title	Job title as listed by the employer.
company_name	Name of the hiring company.
company_logo_url	URL to the company’s logo image.
company_website_url	Official website of the hiring company.
hiring_location	Regions or locations where candidates can be hired.
seniority	Seniority level associated with the role.
apply_url	Direct application link for the job.
description	Full job description text.
published_at	Date and time when the job was published.

---

Example Output

[
  {
    "query": "react developer",
    "employmentType": "full-time",
    "workplaceLocation": "remote",
    "title": "React + Node Developer – Web Applications",
    "company_name": "Oowlish Technology",
    "company_logo_url": "https://cdn.talent-assets.remote.com/company_logos/912acae5-a0f3-4891-959a-f20cf8534ae2company_logo.png",
    "company_website_url": "https://www.oowlish.com",
    "workplace_location_type": "remote",
    "hiring_location": [
      {
        "type": "region",
        "value": {
          "code": "latin-america",
          "name": "Latin America"
        }
      },
      {
        "type": "region",
        "value": {
          "code": "north-america",
          "name": "North America"
        }
      },
      {
        "type": "region",
        "value": {
          "code": "europe",
          "name": "Europe"
        }
      }
    ],
    "employment_type": "full_time",
    "seniority": ["mid_level"],
    "apply_url": "https://jobs.lever.co/oowlish/3cf864d5-d6e8-4e52-8f31-45391a7928a0",
    "description": "Join Our Team Oowlish, one of Latin America's rapidly expanding software development companies...",
    "baseSalary": null,
    "currency": null,
    "published_at": "2025-05-07T19:37:44Z",
    "travel_frequency": "never",
    "quick_apply": false
  }
]

---

Directory Structure Tree

remote-jobs-scraper/
├── src/
│   ├── main.py
│   ├── collectors/
│   │   └── jobs_collector.py
│   ├── processors/
│   │   └── normalizer.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── sample_input.json
│   └── sample_output.json
├── requirements.txt
└── README.md

---

Use Cases

• Job seekers use it to monitor new remote openings, so they can apply faster.
• Market analysts use it to study hiring trends, so they can identify in-demand roles.
• Recruiters use it to research competitors, so they can benchmark job offerings.
• Researchers use it to analyze regional demand, so they can publish insights on remote work.

---

FAQs

What types of jobs can be collected? Any role that matches the provided keywords, including tech, design, marketing, and operations positions.

Can I limit the number of results? Yes, you can define a maximum item limit to control how many listings are returned.

Is the data suitable for analytics? The output is fully structured, making it ideal for dashboards, reports, or data pipelines.

Does it support different regions? Yes, hiring regions and workplace preferences are included when available.

---

Performance Benchmarks and Results

Primary Metric: Average extraction speed of 40–60 job listings per minute depending on filters.

Reliability Metric: Consistent success rate above 95% on repeated runs with stable inputs.

Efficiency Metric: Low memory footprint with optimized batch processing.

Quality Metric: High data completeness with detailed company and role information across listings.

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