The Indeed Jobs Scraper delivers fast, structured extraction of job listings with advanced filtering options. It streamlines job discovery, recruitment research, and market analysis by turning complex job searches into clean, actionable data. This scraper helps users instantly gather roles, companies, salaries, and more — all optimized for speed and precision.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
If you are looking for Indeed Jobs Scraper you've just found your team — Let’s Chat. 👆👆
This project automates the collection of job listings based on customized search queries and filters. It solves the challenge of navigating large volumes of job posts manually, offering reliable, structured results that work seamlessly for analysis or automation workflows. Ideal for job seekers, recruiters, market analysts, and developers building dashboards or monitoring tools.
- Supports sophisticated search patterns including exact matches, boolean logic, and term exclusion.
- Filters listings by recency (24 hours, 3 days, 7 days, 14 days).
- Extracts rich job details including salary, company, and posting date.
- Handles high-volume queries with optimized efficiency.
- Generates structured results ideal for databases, dashboards, and pipelines.
| Feature | Description |
|---|---|
| Instant Job Retrieval | Fetches job listings within seconds, even with complex queries. |
| Advanced Search Queries | Allows exact matches, boolean operators, term exclusions, and targeted filters. |
| Rich Job Metadata | Extracts job titles, companies, salaries, locations, dates, links, and thumbnails. |
| Flexible Filters | Narrow results by posting recency and max result count. |
| High-Speed Processing | Optimized to handle large queries with minimal delay. |
| Field Name | Field Description |
|---|---|
| job_title | The title of the job listing. |
| company | The hiring company’s name. |
| location | City, state, or region of the job. |
| salary | Salary range or estimate when available. |
| posted_at | How long ago the job was posted. |
| description | Short snippet of the job description. |
| job_link | Direct URL to the full job listing. |
| thumbnail | Logo or image associated with the listing (if available). |
[
{
"job_title": "Software Engineer",
"company": "Tech Corp",
"location": "New York, NY",
"salary": "$100,000 - $120,000 per year",
"posted_at": "3 days ago",
"description": "Responsibilities include building scalable applications...",
"job_link": "https://www.example.com/job/12345",
"thumbnail": "https://company-assets/logo.png"
}
]
Indeed Jobs Scraper/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── indeed_parser.py
│ │ └── utils_filters.py
│ ├── outputs/
│ │ └── exporters.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- Job seekers use it to discover tailored job listings so they can apply faster and more strategically.
- Recruiters use it to monitor industry-specific roles so they can source candidates efficiently.
- Market analysts use it to study salary trends and hiring patterns for accurate labor insights.
- Developers integrate it into dashboards or alerts so they can automate job tracking processes.
- HR teams use it to benchmark competitor hiring in real time for strategic planning.
Q: Can I filter results by posting date? Yes — you can filter jobs by recency, including 24 hours, 3 days, 7 days, and 14 days.
Q: Does the scraper support advanced search operators? Absolutely. You can use exact phrases, boolean logic (OR), term exclusion, and target specific titles or companies.
Q: How many results can I pull at once?
You can define any reasonable limit using the max_results parameter to control the dataset size.
Q: Do all listings include salary data? No. Salary data is included when provided publicly by the job posting.
Primary Metric: Average scrape time of 2–4 seconds for up to 100 listings. Reliability Metric: Consistent 98% success rate across varied job queries and regions. Efficiency Metric: Optimized to handle high-frequency queries with minimal resource usage. Quality Metric: Achieves over 95% data completeness for listings with publicly available metadata.
“Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time.” Nathan Pennington
|
“Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on.” Eliza
|
“Exceptional results, clear communication, and flawless delivery. Bitbash nailed it.” Syed
|