A production-grade Python package to parse PDF/DOCX resumes.
Project description
README.md
Resume Parser Pro
A Python package for parsing resumes and extracting structured information from them.
Features
- Contact Information: Easily extract name, email addresses, and phone numbers.
- Work Experience: Parse job titles, company names, durations, and locations.
- Education: Identify degrees, institutions, and graduation years.
- Structured Data Output: Returns a Python dictionary (or JSON) of parsed data for easy integration.
Installation
You can install the package using pip:
pip install resume_parser_pro
Usage
from resume_parser_pro import ResumeParser
parser = ResumeParser()
data = parser.parse('path/to/resume.pdf') print(data)
Project Structure
The project includes the following languages and frameworks:
Python 3.8
Contributing
Contributions are welcome! Please open an issue or submit a pull request for any enhancements or bug fixes.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file resume_parser_pro-1.0.0.tar.gz.
File metadata
- Download URL: resume_parser_pro-1.0.0.tar.gz
- Upload date:
- Size: 20.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
59323fd593202da3a53dce2c4bb20ab24bf05bbf996da7780ac286bd215ec215
|
|
| MD5 |
8ef2812602385388cb21af6b2d5d328a
|
|
| BLAKE2b-256 |
e45ef760819c71c618f0672349d96227beddfd6726cb1169767d179b3c87096e
|
File details
Details for the file resume_parser_pro-1.0.0-py3-none-any.whl.
File metadata
- Download URL: resume_parser_pro-1.0.0-py3-none-any.whl
- Upload date:
- Size: 28.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7d304b7ae2d230da568e89941291df020ff16ec5a0bf87f222d62643591dd966
|
|
| MD5 |
da0c8e30480adcf83c221255ef3ee730
|
|
| BLAKE2b-256 |
078374e41b7612fbe3a3b9cfefba64f96b23291edc66ed4b4cca02b8c1a94f26
|