PeoplePerHour Job Scraper

The PeoplePerHour Job Scraper collects freelance job listings from PeoplePerHour based on targeted keyword searches. It helps professionals stay updated on new opportunities, analyze market demand, and turn raw job data into actionable insights.

     

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Introduction

This project automatically gathers freelance project listings by keyword and structures them into clean, reusable data. It solves the problem of manually tracking new job posts and filtering relevant opportunities. It is built for freelancers, agencies, analysts, and researchers who need reliable job-market visibility.

Freelance Market Intelligence

• Searches jobs using one or multiple skill-based keywords.
• Captures detailed project, budget, and client information.
• Produces structured data ready for analysis or automation.
• Designed for repeated runs without manual effort.
• Suitable for monitoring trends across different skills.

Features

Feature	Description
Keyword-Based Search	Finds freelance jobs using skill or role keywords.
Detailed Job Extraction	Collects budget, description, category, and client data.
Location Awareness	Identifies remote and location-specific projects.
Scalable Collection	Supports configurable limits for large job scans.
Automation Ready	Outputs clean JSON suitable for pipelines and dashboards.

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What Data This Scraper Extracts

Field Name	Field Description
project_id	Unique identifier of the job post.
title	Project title as listed.
url	Direct link to the job listing.
description	Full project description text.
budget	Original project budget amount.
budget_converted	Budget converted to a standard currency.
currency	Original currency of the budget.
project_type	Fixed-price or hourly project type.
category	Main job category.
sub_category	Specific subcategory of the job.
posted_date	Date and time when the job was posted.
expiry_date	Job application expiry date.
location_type	Indicates remote or location-based work.
proposal_count	Number of proposals submitted.
client_name	Name of the client posting the job.
client_country	Client’s country.
query	Keyword used to find the job.

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Example Output

[
      {
        "project_id": 4382192,
        "title": "Wordpress website down",
        "url": "https://www.peopleperhour.com/freelance-jobs/technology-programming/website-development/wordpress-website-down-4382192",
        "description": "Hi\n\nThere is a website I need to view online...",
        "budget": 20,
        "budget_converted": 26.96,
        "currency": "GBP",
        "project_type": "fixed_price",
        "category": "Technology & Programming",
        "sub_category": "Website Development",
        "posted_date": "2025-05-24 14:09:45",
        "expiry_date": "2025-06-23 14:09:45",
        "location_type": "remote",
        "proposal_count": 21,
        "client_name": "James C.",
        "client_country": "United Kingdom",
        "query": "Wordpress"
      }
    ]

---

Directory Structure Tree

PeoplePerHour Job Scraper/
├── src/
│   ├── main.py
│   ├── collectors/
│   │   ├── search_runner.py
│   │   └── job_parser.py
│   ├── models/
│   │   └── job_schema.py
│   ├── utils/
│   │   └── date_helpers.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── sample_input.json
│   └── sample_output.json
├── requirements.txt
└── README.md

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Use Cases

• Freelancers use it to track new jobs, so they can apply faster to relevant projects.
• Agencies use it to monitor demand, so they can align services with market needs.
• Market analysts use it to study pricing trends, so they can generate insights.
• Lead generators use it to identify clients, so they can build outreach pipelines.
• Researchers use it to analyze skills demand, so they can publish market reports.

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FAQs

How do I control how many jobs are collected? You can configure a maximum item limit, allowing you to balance between speed and data volume.

Can I search for multiple skills at once? Yes, multiple keywords can be provided, and each result includes the keyword used.

Is the data suitable for spreadsheets or databases? The output is structured JSON, making it easy to import into spreadsheets, databases, or dashboards.

Does it support repeated runs without duplicates? Each job includes a unique project ID, making deduplication straightforward.

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Performance Benchmarks and Results

Primary Metric: Processes up to 30 job listings per keyword in under one minute on average.

Reliability Metric: Maintains a consistent success rate above 98% across repeated runs.

Efficiency Metric: Uses lightweight requests to minimize bandwidth and processing overhead.

Quality Metric: Captures complete job records with accurate budgets, dates, and client details.

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