Pyresparser

https://www.omkarpathak.in/pyresparser/
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Pyresparser is a resume parser that extracts key information from resume files including name,...
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### Install Pyresparser

Source: https://www.omkarpathak.in/pyresparser

Install the Pyresparser package using pip. Ensure you also install spacy and nltk for NLP operations.

```bash
pip install pyresparser
```

```bash
python -m spacy download en_core_web_sm
```

```bash
python -m nltk.downloader words
```

--------------------------------

### Basic Resume Parsing

Source: https://www.omkarpathak.in/pyresparser

Import ResumeParser and extract data from a resume file. This is the fundamental usage of the library.

```python
from pyresparser import ResumeParser
data = ResumeParser('/path/to/resume/file').get_extracted_data()
```

--------------------------------

### Parse Resume with Custom Skills File

Source: https://www.omkarpathak.in/pyresparser

Specify a custom CSV file for skills extraction to tailor the parsing to your specific needs. The CSV file should not contain headers.

```python
from pyresparser import ResumeParser
data = ResumeParser('/path/to/resume/file', skills_file='/path/to/skills.csv').get_extracted_data()
```

--------------------------------

### Extracted Resume Data Structure

Source: https://www.omkarpathak.in/pyresparser

The result of parsing a resume is a list of dictionaries, where each dictionary contains extracted information such as name, email, skills, and experience.

```json
[
  {
    'college_name': ['Marathwada Mitra Mandal’s College of Engineering'],
    'company_names': None,
    'degree': ['B.E. IN COMPUTER ENGINEERING'],
    'designation': ['Manager',
                    'TECHNICAL CONTENT WRITER',
                    'DATA ENGINEER'],
    'email': 'omkarpathak27@gmail.com',
    'mobile_number': '8087996634',
    'name': 'Omkar Pathak',
    'no_of_pages': 3,
    'skills': ['Operating systems',
              'Linux',
              'Github',
              'Testing',
              'Content',
              'Automation',
              'Python',
              'Css',
              'Website',
              'Django',
              'Opencv',
              'Programming',
              'C',
              ...],
    'total_experience': 1.83
  }
]
```

--------------------------------

### Parse Resume with Custom Phone Number Regex

Source: https://www.omkarpathak.in/pyresparser

Provide a custom regular expression to parse phone numbers if the default patterns do not cover your requirements. This allows for flexible phone number extraction.

```python
from pyresparser import ResumeParser
data = ResumeParser('/path/to/resume/file', custom_regex='pattern').get_extracted_data()
```
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