'Does Google Scholar have an API available that we can use in our research applications?
I am working on a research publication and collaboration project that has a literature search feature in it. Google Scholar seems like it will work since it is an open source tool but, when I researched Google Scholar, I could not find any information about it having an API.
Please let me know if there is any API for Google Scholar that is valid.
TIA.
Solution 1:[1]
There's no official Google Scholar API. There are third-party solutions like free scholarly Python package which supports profile, author, cite results but does not support organic results, or Google Scholar API from SerpApi which is a paid API with a free plan that supports organic, cite, profile, author results and bypasses all the blocks on SerpApi backend.
Example code to parse profile results using scholarly using search_by_keyword method:
import json
from scholarly import scholarly
# will paginate to the next page by default
authors = scholarly.search_keyword("biology")
for author in authors:
print(json.dumps(author, indent=2))
# part of the output:
'''
{
"container_type": "Author",
"filled": [],
"source": "SEARCH_AUTHOR_SNIPPETS",
"scholar_id": "LXVfPc8AAAAJ",
"url_picture": "https://scholar.google.com/citations?view_op=medium_photo&user=LXVfPc8AAAAJ",
"name": "Eric Lander",
"affiliation": "Broad Institute",
"email_domain": "",
"interests": [
"Biology",
"Genomics",
"Genetics",
"Bioinformatics",
"Mathematics"
],
"citedby": 552013
}
... other author results
'''
Example code to parse organic results using Google Scholar Profile Results API from SerpApi:
import json
from serpapi import GoogleScholarSearch
# search parameters
params = {
"api_key": "Your SerpApi API key",
"engine": "google_scholar_profiles",
"hl": "en", # language
"mauthors": "biology" # search query
}
search = GoogleScholarSearch(params)
results = search.get_dict()
# only first page results
for result in results["profiles"]:
print(json.dumps(result, indent=2))
# part of the output:
'''
{
"name": "Masatoshi Nei",
"link": "https://scholar.google.com/citations?hl=en&user=VxOmZDgAAAAJ",
"serpapi_link": "https://serpapi.com/search.json?author_id=VxOmZDgAAAAJ&engine=google_scholar_author&hl=en",
"author_id": "VxOmZDgAAAAJ",
"affiliations": "Laura Carnell Professor of Biology, Temple University",
"email": "Verified email at temple.edu",
"cited_by": 384074,
"interests": [
{
"title": "Evolution",
"serpapi_link": "https://serpapi.com/search.json?engine=google_scholar_profiles&hl=en&mauthors=label%3Aevolution",
"link": "https://scholar.google.com/citations?hl=en&view_op=search_authors&mauthors=label:evolution"
},
{
"title": "Evolutionary biology",
"serpapi_link": "https://serpapi.com/search.json?engine=google_scholar_profiles&hl=en&mauthors=label%3Aevolutionary_biology",
"link": "https://scholar.google.com/citations?hl=en&view_op=search_authors&mauthors=label:evolutionary_biology"
},
{
"title": "Molecular evolution",
"serpapi_link": "https://serpapi.com/search.json?engine=google_scholar_profiles&hl=en&mauthors=label%3Amolecular_evolution",
"link": "https://scholar.google.com/citations?hl=en&view_op=search_authors&mauthors=label:molecular_evolution"
},
{
"title": "Population genetics",
"serpapi_link": "https://serpapi.com/search.json?engine=google_scholar_profiles&hl=en&mauthors=label%3Apopulation_genetics",
"link": "https://scholar.google.com/citations?hl=en&view_op=search_authors&mauthors=label:population_genetics"
},
{
"title": "Phylogenetics",
"serpapi_link": "https://serpapi.com/search.json?engine=google_scholar_profiles&hl=en&mauthors=label%3Aphylogenetics",
"link": "https://scholar.google.com/citations?hl=en&view_op=search_authors&mauthors=label:phylogenetics"
}
],
"thumbnail": "https://scholar.googleusercontent.com/citations?view_op=small_photo&user=VxOmZDgAAAAJ&citpid=3"
}
... other results
'''
There is a dedicated Scrape historic Google Scholar results using Python blog post of mine at SerpApi which shows how to scrape historic 2017-2021 Organic, Cite Google Scholar results to CSV, SQLite.
Disclaimer, I work for SeprApi
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Dmitriy Zub |
