Pyresparser¶

A simple resume parser used for extracting information from resumes

Features¶

• Extract name
• Extract email
• Extract mobile numbers
• Extract skills
• Extract total experience
• Extract college name
• Extract degree
• Extract designation
• Extract company names

Getting Started¶

Installation¶

• You can install this package using

pip install pyresparser

• For NLP operations we use spacy and nltk. Install them using below commands:

# spaCy
python -m spacy download en_core_web_sm

# nltk
python -m nltk.downloader words

Usage¶

• Import it in your Python project

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

Result¶

The module would return a list of dictionary objects with result as follows:

[
  {
    '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': '[email protected]',
    '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
  }
]

Supported Resume File Formats¶

• Parsing of PDF and DOCx files are supported on all Operating Systems
• If you want to parse DOC files you can install textract for your OS (Linux, MacOS)
• Note: You just have to install textract (and nothing else) and doc files will get parsed easily

Advanced Options¶

Explicitly specifying skills file¶

Pyresparser comes with built-in skills file that defaults to many technical skills. You can find the default skills file here.

For extracting data against your specified skills, create a CSV file with no headers.

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

Explicitly providing regex to parse phone numbers¶

While pyresparser parses most of the phone numbers correctly, there is a possibility of new patterns being added in near future. Hence, we can explicitly provide the regex required to parse the desired phone numbers. This can be done using

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