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Scrape biological data from websites

Project description


Web scrapers to interact with remote databases programatically in Python that makes a local cache of web data with sqlite3 to prevent excessive web traffic.

So far, implemented:

  • [Uniprot]( by uniprot protein ID. (e.g. ‘Q8BP71’)
  • [PubMed]( by PMID (e.g. ‘24213538’)


##Python 2.7.x and 3.x pip install bioscraping


Real unit tests are absent, but you can test basic functionality with python test/



from bioscraping import PubMedClient

pubmed = PubMedClient()

defaults to writing a file called .bioscraping.pubmed.sqlite.db. Use PubMedClient(“:memory:”) for in-memory data storage.


Returns text with author and abstract for PMID.


from bioscraping import UniprotClient

uniprot = UniprotClient()

defaults to writing a file called .bioscraping.uniprot.sqlite.db. Use UniprotClient(“:memory:”) for in-memory data storage.

uniprot.fetch(<Uniprot ID>)

Returns a dictionary of data parsed from xml.

#Buyer beware

UniprotClient has a potential race condition and tempfile needs to be implemented before it is safe for concurrent processes. (see TODO)

Project details

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