PDF Data Extraction for Analysis using Python
Budget: $15 – $25 USD
I'm in need of a Python expert who can meticulously extract text and tables from PDFs for data analysis.
The requirements are as follows:
- Develop a Python solution in form of a Jupyter Notebook
- Preferable use of the libraries PyPDF2, Tabula, PDFMiner, PyMuPDF, and PDFPlumber for extraction
Required Skills and Experience:
- Proficient in Python
- Familiarity with Jupyter Notebook
- Experience with PyPDF2, Tabula, PDFMiner, PyMuPDF, and PDFPlumber
- Data extraction and analysis expertise.
Your commitments would include understanding the architecture of the PDFs, and the most effective library for extraction in each case. The ultimate goal is to create a Python script that eases the data extraction process for subsequent analysis.
Whoever can most efficiently extract (using Python) the contents table from p.2 of the attached PDF (an Annual Report), with page numbers and corresponding section titles, will get the job.
The requirements are as follows:
- Develop a Python solution in form of a Jupyter Notebook
- Preferable use of the libraries PyPDF2, Tabula, PDFMiner, PyMuPDF, and PDFPlumber for extraction
Required Skills and Experience:
- Proficient in Python
- Familiarity with Jupyter Notebook
- Experience with PyPDF2, Tabula, PDFMiner, PyMuPDF, and PDFPlumber
- Data extraction and analysis expertise.
Your commitments would include understanding the architecture of the PDFs, and the most effective library for extraction in each case. The ultimate goal is to create a Python script that eases the data extraction process for subsequent analysis.
Whoever can most efficiently extract (using Python) the contents table from p.2 of the attached PDF (an Annual Report), with page numbers and corresponding section titles, will get the job.