pyresparser | simple resume parser used for extracting information | Parser library
kandi X-RAY | pyresparser Summary
kandi X-RAY | pyresparser Summary
Built with ︎ and :coffee: by Omkar Pathak.
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Top functions reviewed by kandi - BETA
- Extract data from a remote file
- Extract skills from a directory
- Exports data
- Extract data from a file
- Prints text to stdout
- Extracts extracted data
- Extract text from a PDF file
- Extract text from PDF
- Extract text from a text file
- Extract text from a docx file
- Convert dataturks into spacy data
- Trims entity spans
- Extracts the results from the results
pyresparser Key Features
pyresparser Examples and Code Snippets
Lines of Code : 7License : Strong Copyleft (CC BY-SA 4.0)
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pip install spacy==2.3.5
pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.3.1/en_core_web_sm-2.3.1.tar.gz
pip install pyresparser
import io, base64
def parse(b64data):
bytes = base64.b64decode(b64data, validate=True)
bytesio = io.BytesIO(bytes)
bytesio.name = '.pdf'
parsed_data = ResumeParser(bytesio).get_extracted_data()
return parsed_data
from csv import DictWriter
from os import listdir
with open('file.csv', 'w') as write_file:
for fl in listdir():
dict_writer = DictWriter(write_file,
['file_name', 'test1', 'test2']
Community Discussions
Trending Discussions on pyresparser
QUESTION
ANSWER
Answered 2021-Feb-26 at 09:37try these steps:
QUESTION
I am using a resume parsing python library that accepts a pdf file and returns JSON. The code is as simple as below:
parsed_data = ResumeParser("file.pdf").get_extracted_data()
I wanted to expose an API around this, so in API the pdf data is sent as a base64 string. So, I first write the data to a file and then run the above code. My current code looks as below:
...ANSWER
Answered 2020-Jul-28 at 03:43The library that you are using appears to accept a BytesIO object as an alternative to passing it a string that contains a filename. However, it also appears to expect that this BytesIO object has a name attribute from which it extracts an extension so it can determine the filetype. So, we will add a bogus name attribute that contains the string .pdf to our BytesIO object.
So, we should be able to use something like this:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install pyresparser
For NLP operations we use spacy and nltk. Install them using below commands:
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