web scrapper Python sources with PDF converting to text into RDS

source code in Python for 2 web scrappers:

1. enter a logged system, goes through a list of entries, open each one and extract the data of the pages into a RDS

2. goes through a series of similar sites and retrieve the documents converting PDF to text. The sites store documents relating to decisions on cases of courts of law. Each "publication" is provided in PDF (one file per page).

Scrapper #2 Description:

# Project must be built using AWS Cloud.

# Function must be in Python, as a Lambda, exposed as a REST via API Gateway

# Receiving the PDF URL as a parameter

# Saving each page as an TXT file in a S3 bucket.
Ex: DOM-SP-AAAA-MM-DD-<page number>.txt

# Project must be delivered with a AWS CloudFormation so I can easily deploy in my account.

In the example:

Scrapper must goes through pdf pages inside the URL passed in the parameter

in the example
it has 84 pages (Páginas) that should be converted from PDF to text

in another link:
it has 70 pages (Páginas) that should be converted from PDF to text

Skills: Data Mining, Python, Software Architecture, Web Scraping

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About the Employer:
( 0 reviews ) Sao Paulo, Brazil

Project ID: #17341868

16 freelancers are bidding on average $152 for this job


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