Web crawling task B - only feasible with help from automated crawlingsuchen

I have a list here with patent numbers in excel format.

Go to the website

[url removed, login to view]

paste the first patent number.

Then look at the resulting website.

Extract the text from the section

- "claims" (exists for all records)

- "Parent case text" (exists only for some records)

-"Current U.S. Class:"

-"Current CPC Class:"

-"Current International Class:"

and, for each record, paste the content for claims, parent case text, and the three classes into the excel cells following the patent number.

Note:

1) some of the claims may be very long, not fitting into a single cell. So you should have the possibility to split the content into two or three cells, if necessary. As there may be only very few cases, it would probably be easier to manually check for this by counting the number of words per cell and do the few cases, where content doesn't fit into a cell, manually.

2) not all fields exist/contain data, especially related to the references cited section

3) only automated crawling is feasible, no manual work extracting the whole data!

4) I don't work with milestone payments, I work with step by step invoices

5) The project budget is USD 20

Web Scraping

Ταυτότητα Εργασίας: #8919003

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