Web Scraping (PDFs)
This project was awarded to chaituse for $275 USD.Get free quotes for a project like this
Project Budget$250 - $750 USD
I am trying to develop a way to automate the daily retrieval of PDF's from a State Government website and extract (scrape) specific information from the document. The procedure is as follows:
1. Go to URL [url removed, login to view]
2. Enter Docket Code: ORDER
3. Enter Case Type: CD
4. Enter Date Range (to be done daily)
5. Hit ‘Search’
6. Open first document by clicking hyperlink under ‘ID’ Column
a. Identify RELIEF SOUGHT
b. If RELIEF SOUGHT = ‘POOLING’ continue to step 7
c. Else, return to results and open next document, then repeat a/b
7. If DISMISSED return to step 6
8. Else, identify fields highlighted in example documents
9. Export results to excel database – each column name marked in red on example documents
10. Return to search results and continue searching through documents with criteria from step 6
Obviously, I only need the PDF's that pertain to POOLING as the RELIEF TYPE.
I am looking to organize all this data in a program like Excel for my use. I'd like the data to be organized by Order Date, Cause CD No. and then a column for each piece of information highlighted and identified in red in the example documents.
I have provided two examples to show that the document may vary somewhat in formatting and the presentation of data.
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- The New York Times
- Wall Street Journal
- Times Online