Extract detailed LinkedIn profiles in bulk without logging in. This tool retrieves each person's work experience, education, skills, and more, all in a single batch. Perfect for recruiters, analysts, and businesses looking to enrich professional data efficiently.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project allows users to scrape multiple LinkedIn profiles at once, retrieving structured professional information without requiring login credentials. It solves the challenge of manually gathering profile details and provides reliable bulk data for recruitment, research, or business intelligence. It’s designed for HR professionals, data analysts, marketers, and anyone needing comprehensive LinkedIn profile information.
- Process up to 500 LinkedIn profiles per run.
- Extracts basic profile details, work experience, education, skills, and certifications.
- Retrieves location and company-specific information.
- Tracks batch status and handles failed usernames.
- Outputs structured JSON data for easy integration into workflows.
| Feature | Description |
|---|---|
| Bulk Processing | Scrape multiple LinkedIn profiles simultaneously to save time. |
| Work Experience Extraction | Retrieve complete work history including titles, companies, and duration. |
| Education Details | Collect school names, degrees, and graduation info. |
| Skills and Certifications | Access languages, certifications, and relevant skills listed on profiles. |
| Location Information | Capture city, country, and full location details. |
| Company Insights | Extract company details associated with each profile. |
| Batch Status Tracking | Monitor progress and identify failed profiles for reprocessing. |
| Flexible Input | Accept usernames or full LinkedIn URLs for processing. |
| JSON Output | Structured data format for easy parsing and integration. |
| High Throughput | Handles up to 1000 profiles per batch with consistent performance. |
| Field Name | Field Description |
|---|---|
| basic_info | Contains general profile information like location. |
| experience | Array of work history records including title, company, and duration. |
| education | Array of education records including school and degree. |
| languages | List of languages the user has listed on their profile. |
| certifications | Certifications achieved by the profile owner. |
| location | Detailed location info: country, city, full location. |
| company | Details of the companies associated with the user's roles. |
[
{
"neal-mohan": {
"basic_info": {
"location": {
"country": "United States",
"city": "San Francisco",
"full": "San Francisco Bay Area"
}
},
"experience": [
{
"title": "CEO",
"company": "YouTube",
"duration": "2023 - Present"
}
],
"education": [
{
"school": "Stanford University",
"degree": "Electrical Engineering"
}
]
}
]
Linkedin Profile Details Batch Scraper + EMAIL/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── linkedin_parser.py
│ │ └── utils_time.py
│ ├── outputs/
│ │ └── exporters.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.txt
│ └── sample.json
├── requirements.txt
└── README.md
- Recruiters use it to gather candidate work and education history, so they can streamline hiring decisions.
- Data analysts use it to collect professional trends, so they can analyze workforce patterns.
- Marketers use it to identify potential leads, so they can target campaigns efficiently.
- HR departments use it to audit internal talent, so they can track employee career progressions.
- Business intelligence teams use it to enrich CRM databases, so they can improve client insights.
Q: Do I need a LinkedIn login to use this tool? A: No, the scraper works without cookies or login credentials, enabling immediate bulk profile extraction.
Q: How many profiles can I process at once? A: The tool can handle up to 500 profiles per run and up to 1000 profiles per batch with optimized performance.
Q: What input formats are supported? A: You can provide either LinkedIn usernames or full profile URLs; the last segment of the URL is sufficient.
Q: What happens if a profile fails to process?
A: Failed usernames are tracked in the output under failedUsernames for easy reprocessing.
Primary Metric: Processes 100 profiles in under 5 minutes on standard setups. Reliability Metric: Maintains a 98% success rate for profile extraction. Efficiency Metric: Minimal CPU and memory usage during batch runs. Quality Metric: Outputs complete, structured JSON with accurate profile details.
“Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time.” Nathan Pennington
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“Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on.” Eliza
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“Exceptional results, clear communication, and flawless delivery. Bitbash nailed it.” Syed
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