Skip to main content

Reliably scrape and clean Google Scholar citations. Automatically uploads to Zotero. Bibtex local file exports are also supported.

Project description

pyserpZotero

Google Scholar citation download, parsing, Bibtex export, and Zotero cloud upload via serpAPI.

What does it do?

pyserpZotero offers the following functions for (semi-) automating literature review:

  • pyserpCite Module
    • serpZot (class) - Instantiates a serpZot object for API management.
      • searchScholar - Searches Google Scholar for papers corresponding to 1 or more search terms and captures their identifiers.
      • search2Zotero - Pulls references from Google using identifiers from searchScholar, converts to Bibtex via CrossRef, reformats for Zotero, and uploads to your Zotero cloud libary (results will automatically sync to any connect desktop applications).
      • cleanZot - Attempt to remove/replace broken LaTex and other formatting in titles.
      • arxivDownload - Checks Arxiv to see if items in your Zotero library have free PDFs available. Downloads matching PDF's from Arxiv, attaches them to the corresponding library items, and uploads the changes to Zotero.

Why serpAPI?

I'm not a shill for their company, but after a decade of scraping data I've gotten tired of code breaking due to upstream changes, dealing with proxies, and concerns over intellectual property. serpAPI handles those things for you. They offer a free tier, which is currently 100 searches per month and decent pricing. If there are other, comparable services feel free to mention them in an "Issue" and perhaps I'll be able to add support.

How to Configure?

You'll need to provide an API key for serpAPI and Zotero, as well as a Zotero library Id. You can either provide these directly as arguments to the functions or manage them more securely via a YAML configuration file, as in the Example Usage below.

How to Use?

See quickstartDemo.ipynb for a Jupyter notebook demonstration or checkout the example below:

Example Usage


#### Build a list of search terms:
TERMS = ['reinforcement learning', 'traveling salesman', 'nowcasting', 'propensity score']

MIN_YEAR = "2010" # Oldest year to search
SAVE_BIB = False  # Save a Bibtex file (.bib)?
USE_ZOT  = True   # Upload to Zotero?
CLEAN    = False  # Attempt to remove/repair broken LaTex and other formatting 


#### Load libraries
from box import Box

import importlib
import pyserpZotero
import yaml

importlib.reload(pyserpZotero)

#### Import Credentials from Your YAML File
with open("config.yaml", "r") as ymlfile:
    cfg = Box(yaml.safe_load(ymlfile), default_box=True, default_box_attr=None)

API_KEY = cfg.API_KEY
ZOT_ID  = cfg.ZOT_ID
ZOT_KEY = cfg.ZOT_KEY

#### Instantiate a serpZot object for API management
citeObj = pyserpZotero.serpZot(API_KEY  = API_KEY, 
                             ZOT_ID   = ZOT_ID, 
                             ZOT_KEY  = ZOT_KEY)

#### Call the search method
for i in range(len(TERMS)):
    print(citeObj.searchScholar(TERM     = TERMS[i], 
                                MIN_YEAR = MIN_YEAR,
                                SAVE_BIB = SAVE_BIB))
    print("This should've returned 0 (sucess)")
    # Upload the parsed results
    print(citeObj.search2Zotero())


#### Clean Ugly Raw LaText (as Much as Possible)
if CLEAN:
    citeObj.cleanZot(ZOT_ID      = ZOT_ID, 
                     ZOT_KEY     = ZOT_KEY,
                     SEARCH_TERM = "\\") # optional (defaults to all items)

#### Check Arxiv for Free PDFs of Papers and Attach / Upload Them To Zotero
citeObj.arxivDownload()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyserpzotero-1.0.10.tar.gz (8.0 kB view details)

Uploaded Source

Built Distribution

pyserpzotero-1.0.10-py3-none-any.whl (7.8 kB view details)

Uploaded Python 3

File details

Details for the file pyserpzotero-1.0.10.tar.gz.

File metadata

  • Download URL: pyserpzotero-1.0.10.tar.gz
  • Upload date:
  • Size: 8.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for pyserpzotero-1.0.10.tar.gz
Algorithm Hash digest
SHA256 78628cb39f8b9f19bb04a413499406fcdae1491ee52db2ccbea548d60c7ba9e7
MD5 ceb17c5afb9bb26700109d32272aa02d
BLAKE2b-256 0b08b368be7765c44e2afe38e31dc599e67b964680b6dc2a88274876f53438f0

See more details on using hashes here.

File details

Details for the file pyserpzotero-1.0.10-py3-none-any.whl.

File metadata

File hashes

Hashes for pyserpzotero-1.0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 2953729f242465b89531b87f7fd20f96218c0e4e900a10b5ba9a57cb7a2f5f75
MD5 41078c8c1360ebfcd47e33f581dad8f1
BLAKE2b-256 edd44218d1d5fbacce6dd2dcddf9f18d086c5a73e25590fc60100ac2ced054cf

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page