A simple resume parser used for extracting information from resumes
- Extract name
- Extract email
- Extract mobile numbers
- Extract skills
- Extract total experience
- Extract education (not very accurate as of now)
- Extract experience (not very accurate as of now)
- 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
- PDF and DOCx files are supported on all Operating Systems
- If you want to extract 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
For running the resume extractor you can also use the cli
provided
usage: pyresparser [-h] [-f FILE] [-d DIRECTORY]
optional arguments:
-h, --help show this help message and exit
-f FILE, --file FILE resume file to be extracted
-d DIRECTORY, --directory DIRECTORY directory containing all the resumes to be extracted
-r REMOTEFILE, --remotefile REMOTEFILE remote path for resume file to be extracted
For extracting data from a single resume file, use
pyresparser -f <resume_file_path>
For extracting data from several resumes, place them in a directory and then execute
pyresparser -d <resume_directory_path>
For extracting data from remote resumes, execute
pyresparser -r <path_to_remote_resume_file>
- If you are running the app on windows, then you can only extract .docs and .pdf files
The module would return a list of dictionary objects with result as follows:
[{'education': [('BE', '2014')],
'email': 'omkarpathak27@gmail.com',
'experience': [' Schlumberger DATA ENGINEER Pune'],
'mobile_number': '8087996634',
'name': 'Omkar Pathak',
'no_of_pages': 3,
'skills': ['Python',
'C',
'Technical',
'Linux',
'Machine learning',
'System',
'Html',
'C++',
'Security',
'Testing',
'Content',
'Apis',
'Engineering',
'Payments',
'Django',
'Excel',
'Admissions',
'Mysql',
'Windows',
'Automation',
'Opencv',
'Website',
'Css',
'Js',
'Algorithms',
'Flask',
'Programming',
'Writing',
'Training',
'Php',
'Reports',
'Photography',
'Open source',
'Github',
'Analytics',
'Api'],
'total_experience': 0.58}]
-
https://www.kaggle.com/nirant/hitchhiker-s-guide-to-nlp-in-spacy
-
https://medium.com/@divalicious.priya/information-extraction-from-cv-acec216c3f48
Built with ♥ and ☕ by Omkar Pathak
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