A simple resume parser used for extracting information from resumes
Built with ❤︎ and ☕ by Omkar Pathak
- Extract name
- Extract email
- Extract mobile numbers
- Extract skills
- Extract total experience
- Extract college name
- Extract degree
- Extract designation
- Extract company names
- 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
- Import it in your Python project
from pyresparser import ResumeParser
data = ResumeParser('/path/to/resume/file').get_extracted_data()
For running the resume extractor you can also use the cli
provided
usage: pyresparser [-h] [-f FILE] [-d DIRECTORY] [-r REMOTEFILE]
[-sf SKILLSFILE]
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
-sf SKILLSFILE, --skillsfile SKILLSFILE custom skills CSV file against which skills are searched for
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>
For extracting data against your specified skills, create a CSV file with no headers. Sample file can be found here
pyresparser -sf <path_to_custom_skills_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:
[
{
'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
}
]
-
https://www.kaggle.com/nirant/hitchhiker-s-guide-to-nlp-in-spacy
-
https://medium.com/@divalicious.priya/information-extraction-from-cv-acec216c3f48
-
Special thanks to dataturks for their annotated dataset
If you have found my softwares to be of any use to you, do consider helping me pay my internet bills. This would encourage me to create many such softwares 😄
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