Google Scholar Author API
Google Scholar Author API uses /api/v1/search?engine=google_scholar_author
API endpoint to scrape real-time results.
API Parameters
Search Query
-
- Name
-
citation_id
- Required
- Optional
- Description
-
The parameter is essential for retrieving individual article citation. It's required when either:
view_op=view_citation
view_op=view_mandate
- Using
author_id
without anyview_op
parameter. - Using
author_id
with theview_op=list_mandates
parameter.
https://scholar.google.com/citations?view_op=view_citation&citation_for_view=citation_id
. Note: The parameter can also be used independently, without theauthor_id
.
Localization
-
- Name
-
hl
- Required
- Optional
- Description
-
The default parameter
en
defines the interface language of the search. Check the full list of supported Googlehl
languages.
Filters
-
- Name
-
sortby
- Required
- Optional
- Description
-
Articles are sorted by the number of citations by default. If you wish to:
- Sort by date, use:
sortby=pubdate
. - Sort by title, use:
sortby=title
.
- Sort by date, use:
-
- Name
-
view_op
- Required
- Optional
- Description
-
The parameter specifies the search type. By default, it provides detailed information about an author. Here are the available options::
view_citation
- Provides in-depth citation details. Acitation_id
is required.list_mandates
- Displays a list of author mandates.view_mandate
- Offers detailed information on a mandate. Acitation_id
is required.list_colleagues
- Enumerates all co-authors.
-
- Name
-
agencyid
- Required
- Optional
- Description
-
Use this parameter to sort mandates by agency, using the unique
agencyid
. To find these values, refer to the JSON responses when employing theview_op=list_mandates
parameter.
Pagination
-
- Name
-
page
- Required
- Optional
- Description
-
Parameter indicates which page of results to return. By default, it is set to
1
. Parameter is only used whileview_op
parameter is empty or is set tolist_mandates
Engine
-
- Name
-
engine
- Required
- Required
- Description
-
Parameter defines an engine that will be used to retrieve real-time data. It must be set to
google_scholar_author
.
API key
-
- Name
-
api_key
- Required
- Required
- Description
-
The
api_key
authenticates your requests. Use it as a query parameter (https://www.searchapi.io/api/v1/search?api_key=YOUR_API_KEY
) or in the Authorization header (Bearer YOUR_API_KEY
).
API Examples
Full Response
https://www.searchapi.io/api/v1/search?author_id=JicYPdAAAAAJ&engine=google_scholar_author
- Python
- Node
- Ruby
- Java
- Go
- PHP
- Bash
- R
- Kotlin
- Swift
- C#
- C
- C++
- requests
import requests
url = "https://www.searchapi.io/api/v1/search"
params = {
"engine": "google_scholar_author",
"author_id": "JicYPdAAAAAJ"
}
response = requests.get(url, params = params)
print(response.text)
{
"search_metadata": {
"id": "search_Rz4KNQmOp60YHVyQoyWl8DBv",
"status": "Success",
"created_at": "2023-09-05T15:54:55Z",
"request_time_taken": 1.39,
"parsing_time_taken": 0.05,
"total_time_taken": 1.44,
"request_url": "https://scholar.google.com/citations?user=JicYPdAAAAAJ&hl=en",
"html_url": "https://www.searchapi.io/api/v1/searches/search_Rz4KNQmOp60YHVyQoyWl8DBv.html",
"json_url": "https://www.searchapi.io/api/v1/searches/search_Rz4KNQmOp60YHVyQoyWl8DBv"
},
"search_parameters": {
"engine": "google_scholar_author",
"author_id": "JicYPdAAAAAJ",
"hl": "en"
},
"author": {
"name": "Geoffrey Hinton",
"affiliations": "Emeritus Prof. Computer Science, University of Toronto",
"university": "University of Toronto",
"university_authors_link": "https://scholar.google.com/citations?view_op=view_org&hl=en&org=8515235176732148308",
"email": "Verified email at cs.toronto.edu",
"interests": [
{
"title": "machine learning",
"link": "https://scholar.google.com/citations?view_op=search_authors&hl=en&mauthors=label:machine_learning"
},
{
"title": "psychology",
"link": "https://scholar.google.com/citations?view_op=search_authors&hl=en&mauthors=label:psychology"
},
{
"title": "artificial intelligence",
"link": "https://scholar.google.com/citations?view_op=search_authors&hl=en&mauthors=label:artificial_intelligence"
},
{
"title": "cognitive science",
"link": "https://scholar.google.com/citations?view_op=search_authors&hl=en&mauthors=label:cognitive_science"
},
{
"title": "computer science",
"link": "https://scholar.google.com/citations?view_op=search_authors&hl=en&mauthors=label:computer_science"
}
],
"thumbnail": "https://scholar.googleusercontent.com/citations?view_op=view_photo&user=JicYPdAAAAAJ&citpid=2"
},
"articles": [
{
"title": "Imagenet classification with deep convolutional neural networks",
"link": "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=JicYPdAAAAAJ&citation_for_view=JicYPdAAAAAJ:VN7nJs4JPk0C",
"citation_id": "JicYPdAAAAAJ:VN7nJs4JPk0C",
"authors": "A Krizhevsky, I Sutskever, GE Hinton",
"publication": "Advances in neural information processing systems 25, 2012",
"cited_by": {
"cites_id": "2071317309766942398,1036029811429977192,13351982974043817797",
"total": 140721,
"link": "https://scholar.google.com/scholar?oi=bibs&hl=en&cites=2071317309766942398,1036029811429977192,13351982974043817797"
},
"year": 2012
},
{
"title": "Deep learning",
"link": "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=JicYPdAAAAAJ&citation_for_view=JicYPdAAAAAJ:C-SEpTPhZ1wC",
"citation_id": "JicYPdAAAAAJ:C-SEpTPhZ1wC",
"authors": "Y LeCun, Y Bengio, G Hinton",
"publication": "Nature 521 (7553), 436-44, 2015",
"cited_by": {
"cites_id": "5362332738201102290",
"total": 68903,
"link": "https://scholar.google.com/scholar?oi=bibs&hl=en&cites=5362332738201102290"
},
"year": 2015
},
{
"title": "Dropout: a simple way to prevent neural networks from overfitting",
"link": "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=JicYPdAAAAAJ&citation_for_view=JicYPdAAAAAJ:Ic1VZgkJnDsC",
"citation_id": "JicYPdAAAAAJ:Ic1VZgkJnDsC",
"authors": "N Srivastava, G Hinton, A Krizhevsky, I Sutskever, R Salakhutdinov",
"publication": "The journal of machine learning research 15 (1), 1929-1958, 2014",
"cited_by": {
"cites_id": "17092600409158696067",
"total": 45651,
"link": "https://scholar.google.com/scholar?oi=bibs&hl=en&cites=17092600409158696067"
},
"year": 2014
},
{
"title": "Visualizing data using t-SNE",
"link": "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=JicYPdAAAAAJ&citation_for_view=JicYPdAAAAAJ:ZeXyd9-uunAC",
"citation_id": "JicYPdAAAAAJ:ZeXyd9-uunAC",
"authors": "L van der Maaten, G Hinton",
"publication": "Journal of Machine Learning Research 9 (Nov), 2579-2605, 2008",
"cited_by": {
"cites_id": "487516874590466294,12667108886760575927,14096551975606545794,2979844096647099108,3174238712392571589,2839634327124015288",
"total": 36943,
"link": "https://scholar.google.com/scholar?oi=bibs&hl=en&cites=487516874590466294,12667108886760575927,14096551975606545794,2979844096647099108,3174238712392571589,2839634327124015288"
},
"year": 2008
},
{
"title": "Learning representations by back-propagating errors",
"link": "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=JicYPdAAAAAJ&citation_for_view=JicYPdAAAAAJ:xckinRaLORAC",
"citation_id": "JicYPdAAAAAJ:xckinRaLORAC",
"authors": "DE Rumelhart, GE Hinton, RJ Williams",
"publication": "Nature 323 (6088), 533-536, 1986",
"cited_by": {
"cites_id": "4426174517443775626,8273552674151311848,16344609617967764288,8413054938466680786",
"total": 34809,
"link": "https://scholar.google.com/scholar?oi=bibs&hl=en&cites=4426174517443775626,8273552674151311848,16344609617967764288,8413054938466680786"
},
"year": 1986
},
{
"title": "Learning internal representations by error-propagation",
"link": "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=JicYPdAAAAAJ&citation_for_view=JicYPdAAAAAJ:GFxP56DSvIMC",
"citation_id": "JicYPdAAAAAJ:GFxP56DSvIMC",
"authors": "DE Rumelhart, GE Hinton, RJ Williams",
"publication": "Parallel Distributed Processing: Explorations in the Microstructure of …, 1986",
"cited_by": {
"cites_id": "1374659557399191249,3832141847253744868,7802320958345658504,7476519782727404507,17639843345284166805,1091482749559456065,14448555732271291304,8902015293531977872,16496519103530170124,15492627837731684923,9205400470759667619,2759483233544357562,1722523513356915749,15253359986124209780,6822548856209813074,1400338032573603314,7422416649937417890",
"total": 31956,
"link": "https://scholar.google.com/scholar?oi=bibs&hl=en&cites=1374659557399191249,3832141847253744868,7802320958345658504,7476519782727404507,17639843345284166805,1091482749559456065,14448555732271291304,8902015293531977872,16496519103530170124,15492627837731684923,9205400470759667619,2759483233544357562,1722523513356915749,15253359986124209780,6822548856209813074,1400338032573603314,7422416649937417890"
},
"year": 1986
},
{
"title": "Learning multiple layers of features from tiny images",
"link": "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=JicYPdAAAAAJ&citation_for_view=JicYPdAAAAAJ:fPk4N6BV_jEC",
"citation_id": "JicYPdAAAAAJ:fPk4N6BV_jEC",
"authors": "A Krizhevsky, G Hinton",
"cited_by": {
"cites_id": "10056887837836832604,2409620200730482695",
"total": 24704,
"link": "https://scholar.google.com/scholar?oi=bibs&hl=en&cites=10056887837836832604,2409620200730482695"
},
"year": 2009
},
...
],
"cited_by": {
"table": {
"headers": [
"",
"All",
"Since 2018"
],
"rows": [
[
"Citations",
"703582",
"498359"
],
[
"h-index",
"180",
"131"
],
[
"i10-index",
"437",
"338"
]
]
},
"histogram": [
{
"year": 1989,
"cites": 2125
},
{
"year": 1990,
"cites": 2793
},
{
"year": 1991,
"cites": 2802
},
{
"year": 1992,
"cites": 3076
},
{
"year": 1993,
"cites": 3323
},
{
"year": 1994,
"cites": 3426
},
...
]
},
"public_access": {
"link": "https://scholar.google.com/citations?view_op=list_mandates&hl=en&user=JicYPdAAAAAJ",
"available": 7,
"not_available": 1
},
"co_authors": [
{
"author_id": "m1qAiOUAAAAJ",
"name": "Terrence Sejnowski",
"link": "https://scholar.google.com/citations?user=m1qAiOUAAAAJ&hl=en",
"affiliations": "Francis Crick Professor, Salk Institute, Distingished Professor, UC San Diego",
"email": "Verified email at salk.edu",
"thumbnail": "https://scholar.googleusercontent.com/citations?view_op=small_photo&user=m1qAiOUAAAAJ&citpid=3"
},
{
"author_id": "RnoIxUwAAAAJ",
"name": "Vinod Nair",
"link": "https://scholar.google.com/citations?user=RnoIxUwAAAAJ&hl=en",
"affiliations": "Research Scientist, DeepMind",
"email": "Verified email at google.com",
"thumbnail": "https://scholar.google.com/citations/images/avatar_scholar_56.png"
},
{
"author_id": "ghbWy-0AAAAJ",
"name": "George E. Dahl",
"link": "https://scholar.google.com/citations?user=ghbWy-0AAAAJ&hl=en",
"affiliations": "Google Inc.",
"email": "Verified email at google.com",
"thumbnail": "https://scholar.googleusercontent.com/citations?view_op=small_photo&user=ghbWy-0AAAAJ&citpid=3"
},
{
"author_id": "tJ_PrzgAAAAJ",
"name": "Abdelrahman Mohamed",
"link": "https://scholar.google.com/citations?user=tJ_PrzgAAAAJ&hl=en",
"affiliations": "Research scientist, Facebook AI Research",
"email": "Verified email at fb.com",
"thumbnail": "https://scholar.googleusercontent.com/citations?view_op=small_photo&user=tJ_PrzgAAAAJ&citpid=4"
},
...
]
}
Citation (view_op=view_citation)
https://www.searchapi.io/api/v1/search?citation_id=JicYPdAAAAAJ%3AVN7nJs4JPk0C&engine=google_scholar_author&view_op=view_citation
- Python
- Node
- Ruby
- Java
- Go
- PHP
- Bash
- R
- Kotlin
- Swift
- C#
- C
- C++
- requests
import requests
url = "https://www.searchapi.io/api/v1/search"
params = {
"engine": "google_scholar_author",
"citation_id": "JicYPdAAAAAJ:VN7nJs4JPk0C",
"view_op": "view_citation"
}
response = requests.get(url, params = params)
print(response.text)
{
"search_metadata": {
"id": "search_V6QeGdKRg9qes0eqg8mBExyv",
"status": "Success",
"created_at": "2023-08-11T12:01:02Z",
"request_time_taken": 1.1,
"parsing_time_taken": 0.02,
"total_time_taken": 1.12,
"request_url": "https://scholar.google.com/citations?view_op=view_citation&citation_for_view=JicYPdAAAAAJ:VN7nJs4JPk0C&hl=en&ie=UTF-8",
"html_url": "https://www.searchapi.io/api/v1/searches/search_V6QeGdKRg9qes0eqg8mBExyv.html",
"json_url": "https://www.searchapi.io/api/v1/searches/search_V6QeGdKRg9qes0eqg8mBExyv"
},
"search_parameters": {
"engine": "google_scholar_author",
"hl": "en",
"view_op": "view_citation",
"citation_id": "JicYPdAAAAAJ:VN7nJs4JPk0C"
},
"citation": {
"title": "Imagenet classification with deep convolutional neural networks",
"link": "https://proceedings.neurips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html",
"resources": [
{
"name": "from neurips.cc",
"format": "PDF",
"link": "https://proceedings.neurips.cc/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf"
}
],
"authors": "Alex Krizhevsky, Ilya Sutskever, Geoffrey E Hinton",
"publication_date": "2012",
"journal": "Advances in neural information processing systems",
"volume": "25",
"description": "We trained a large, deep convolutional neural network to classify the 1.3 million high-resolution images in the LSVRC-2010 ImageNet training set into the 1000 different classes. On the test data, we achieved top-1 and top-5 error rates of 39.7\\% and 18.9\\% which is considerably better than the previous state-of-the-art results. The neural network, which has 60 million parameters and 500,000 neurons, consists of five convolutional layers, some of which are followed by max-pooling layers, and two globally connected layers with a final 1000-way softmax. To make training faster, we used non-saturating neurons and a very efficient GPU implementation of convolutional nets. To reduce overfitting in the globally connected layers we employed a new regularization method that proved to be very effective.",
"cited_by": {
"cites_id": "2071317309766942398,1036029811429977192,13351982974043817797",
"total": 139437,
"link": "https://scholar.google.com/scholar?oi=bibs&hl=en&cites=2071317309766942398,1036029811429977192,13351982974043817797&as_sdt=5"
},
"cites_histogram": [
{
"year": 2013,
"cites": 397
},
{
"year": 2014,
"cites": 1038
},
{
"year": 2015,
"cites": 2890
},
{
"year": 2016,
"cites": 6114
},
{
"year": 2017,
"cites": 10601
},
{
"year": 2018,
"cites": 16054
},
{
"year": 2019,
"cites": 20442
},
{
"year": 2020,
"cites": 21914
},
{
"year": 2021,
"cites": 22973
},
{
"year": 2022,
"cites": 22494
},
{
"year": 2023,
"cites": 11842
}
],
"scholar_articles": {
"title": "Imagenet classification with deep convolutional neural networks",
"link": "https://scholar.google.com/scholar?oi=bibs&cluster=2071317309766942398&btnI=1&hl=en",
"authors": "A Krizhevsky, I Sutskever, GE Hinton - Advances in neural information processing systems, 2012",
"cited_by": {
"cites_id": "2071317309766942398",
"total": 119546,
"link": "https://scholar.google.com/scholar?oi=bibs&hl=en&cites=2071317309766942398&as_sdt=5"
},
"versions": {
"cluster_id": "2071317309766942398",
"total": 111,
"link": "https://scholar.google.com/scholar?oi=bibs&hl=en&cluster=2071317309766942398"
},
"related_articles_link": "https://scholar.google.com/scholar?oi=bibs&hl=en&cites=2071317309766942398&as_sdt=5"
}
}
}
List of Mandates (view_op=list_mandates)
https://www.searchapi.io/api/v1/search?author_id=m1qAiOUAAAAJ&engine=google_scholar_author&view_op=list_mandates
- Python
- Node
- Ruby
- Java
- Go
- PHP
- Bash
- R
- Kotlin
- Swift
- C#
- C
- C++
- requests
import requests
url = "https://www.searchapi.io/api/v1/search"
params = {
"engine": "google_scholar_author",
"author_id": "m1qAiOUAAAAJ",
"view_op": "list_mandates"
}
response = requests.get(url, params = params)
print(response.text)
{
"search_metadata": {
"id": "search_n9XmVeqAp1RdHERygKkGJZrx",
"status": "Success",
"created_at": "2023-08-11T11:54:34Z",
"request_time_taken": 1.15,
"parsing_time_taken": 0.01,
"total_time_taken": 1.16,
"request_url": "https://scholar.google.com/citations?user=m1qAiOUAAAAJ&view_op=list_mandates&hl=en&ie=UTF-8",
"html_url": "https://www.searchapi.io/api/v1/searches/search_n9XmVeqAp1RdHERygKkGJZrx.html",
"json_url": "https://www.searchapi.io/api/v1/searches/search_n9XmVeqAp1RdHERygKkGJZrx"
},
"search_parameters": {
"engine": "google_scholar_author",
"author_id": "m1qAiOUAAAAJ",
"hl": "en",
"view_op": "list_mandates"
},
"filters": [
{
"title": "Overall",
"link": "https://scholar.google.com?hl=en&user=m1qAiOUAAAAJ&view_op=list_mandates"
},
{
"title": "NIH",
"agencyid": "16",
"link": "https://scholar.google.com?hl=en&user=m1qAiOUAAAAJ&view_op=list_mandates&agencyid=16"
},
{
"title": "HHMI",
"agencyid": "36",
"link": "https://scholar.google.com?hl=en&user=m1qAiOUAAAAJ&view_op=list_mandates&agencyid=36"
},
{
"title": "DoD",
"agencyid": "15",
"link": "https://scholar.google.com?hl=en&user=m1qAiOUAAAAJ&view_op=list_mandates&agencyid=15"
},
{
"title": "NSF",
"agencyid": "0",
"link": "https://scholar.google.com?hl=en&user=m1qAiOUAAAAJ&view_op=list_mandates&agencyid=0"
},
{
"title": "DFG",
"agencyid": "59",
"link": "https://scholar.google.com?hl=en&user=m1qAiOUAAAAJ&view_op=list_mandates&agencyid=59"
},
{
"title": "CIHR",
"agencyid": "49",
"link": "https://scholar.google.com?hl=en&user=m1qAiOUAAAAJ&view_op=list_mandates&agencyid=49"
},
...
],
"author": {
"author_id": "m1qAiOUAAAAJ",
"name": "Terrence Sejnowski",
"link": "https://scholar.google.com/citations?user=m1qAiOUAAAAJ&hl=en",
"thumbnail": "https://scholar.googleusercontent.com/citations?view_op=small_photo&user=m1qAiOUAAAAJ&citpid=3"
},
"articles": [
{
"title": "Plenary speakers: Reliable interfaces with the peripheral nervous system",
"mandate_link": "https://scholar.google.com/citations?view_op=view_mandate&hl=en&agencyid=-1&citation_for_view=m1qAiOUAAAAJ:JhbybO29vGQC",
"citation_id": "m1qAiOUAAAAJ:JhbybO29vGQC",
"authors": "DM Durand, TJ Sejnowski, JL Vitek, M Akay, TW Berger, ...",
"publication": "2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), 1-22, 2013",
"mandates": "US National Institutes of Health",
"year": 2013
},
{
"title": "Multimodal classification of Parkinson’s disease using delay differential analysis",
"mandate_link": "https://scholar.google.com/citations?view_op=view_mandate&hl=en&agencyid=-1&citation_for_view=m1qAiOUAAAAJ:3oYmN_DgFiMC",
"citation_id": "m1qAiOUAAAAJ:3oYmN_DgFiMC",
"authors": "J Weyhenmeyer, ME Hernandez, C Lainscsek, H Poizner, TJ Sejnowski",
"publication": "2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020",
"mandates": "US National Science Foundation, US Department of Defense, Howard Hughes …",
"year": 2020
},
{
"title": "Global epigenomic reconfiguration during mammalian brain development",
"mandate_link": "https://scholar.google.com/citations?view_op=view_mandate&hl=en&agencyid=-1&citation_for_view=m1qAiOUAAAAJ:puFLaqDw8dcC",
"citation_id": "m1qAiOUAAAAJ:puFLaqDw8dcC",
"authors": "R Lister, EA Mukamel, JR Nery, M Urich, CA Puddifoot, ND Johnson, ...",
"publication": "Science 341 (6146), 1237905, 2013",
"mandates": "US National Institutes of Health, Howard Hughes Medical Institute …",
"resource": {
"name": "nih.gov",
"format": "HTML",
"link": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3785061/"
},
"year": 2013
},
{
"title": "Foundations for a new science of learning",
"mandate_link": "https://scholar.google.com/citations?view_op=view_mandate&hl=en&agencyid=-1&citation_for_view=m1qAiOUAAAAJ:pyW8ca7W8N0C",
"citation_id": "m1qAiOUAAAAJ:pyW8ca7W8N0C",
"authors": "AN Meltzoff, PK Kuhl, J Movellan, TJ Sejnowski",
"publication": "science 325 (5938), 284-288, 2009",
"mandates": "US National Institutes of Health, Howard Hughes Medical Institute",
"resource": {
"name": "nih.gov",
"format": "HTML",
"link": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2776823/"
},
"year": 2009
},
{
"title": "Human body epigenome maps reveal noncanonical DNA methylation variation",
"mandate_link": "https://scholar.google.com/citations?view_op=view_mandate&hl=en&agencyid=-1&citation_for_view=m1qAiOUAAAAJ:peNFRSk4lDYC",
"citation_id": "m1qAiOUAAAAJ:peNFRSk4lDYC",
"authors": "MD Schultz, Y He, JW Whitaker, M Hariharan, EA Mukamel, D Leung, ...",
"publication": "Nature 523 (7559), 212-216, 2015",
"mandates": "US National Institutes of Health, Howard Hughes Medical Institute",
"resource": {
"name": "nature.com",
"format": "PDF",
"link": "https://www.nature.com/articles/nature14465.pdf"
},
"year": 2015
},
...
],
"pagination": {
"current": 1,
"next": "https://scholar.google.com/citations?hl=en&user=m1qAiOUAAAAJ&view_op=list_mandates&cstart=20",
"other_pages": {
"2": "https://scholar.google.com/citations?hl=en&user=m1qAiOUAAAAJ&view_op=list_mandates&cstart=20",
"3": "https://scholar.google.com/citations?hl=en&user=m1qAiOUAAAAJ&view_op=list_mandates&cstart=40",
"4": "https://scholar.google.com/citations?hl=en&user=m1qAiOUAAAAJ&view_op=list_mandates&cstart=60",
"5": "https://scholar.google.com/citations?hl=en&user=m1qAiOUAAAAJ&view_op=list_mandates&cstart=80",
"6": "https://scholar.google.com/citations?hl=en&user=m1qAiOUAAAAJ&view_op=list_mandates&cstart=100",
"7": "https://scholar.google.com/citations?hl=en&user=m1qAiOUAAAAJ&view_op=list_mandates&cstart=120",
"8": "https://scholar.google.com/citations?hl=en&user=m1qAiOUAAAAJ&view_op=list_mandates&cstart=140",
"9": "https://scholar.google.com/citations?hl=en&user=m1qAiOUAAAAJ&view_op=list_mandates&cstart=160",
"10": "https://scholar.google.com/citations?hl=en&user=m1qAiOUAAAAJ&view_op=list_mandates&cstart=180"
}
}
}
Mandate (view_op=view_mandate)
https://www.searchapi.io/api/v1/search?citation_id=emNS0uYAAAAJ%3ADIP-VHrGjvwC&engine=google_scholar_author&view_op=view_mandate
- Python
- Node
- Ruby
- Java
- Go
- PHP
- Bash
- R
- Kotlin
- Swift
- C#
- C
- C++
- requests
import requests
url = "https://www.searchapi.io/api/v1/search"
params = {
"engine": "google_scholar_author",
"citation_id": "emNS0uYAAAAJ:DIP-VHrGjvwC",
"view_op": "view_mandate"
}
response = requests.get(url, params = params)
print(response.text)
{
"search_metadata": {
"id": "search_81zxXmPv3DdnFvlN3VdOanD5",
"status": "Success",
"created_at": "2023-08-11T12:07:59Z",
"request_time_taken": 1.03,
"parsing_time_taken": 0,
"total_time_taken": 1.03,
"request_url": "https://scholar.google.com/citations?user=emNS0uYAAAAJ&view_op=view_mandate&citation_for_view=emNS0uYAAAAJ:DIP-VHrGjvwC&hl=en&ie=UTF-8",
"html_url": "https://www.searchapi.io/api/v1/searches/search_81zxXmPv3DdnFvlN3VdOanD5.html",
"json_url": "https://www.searchapi.io/api/v1/searches/search_81zxXmPv3DdnFvlN3VdOanD5"
},
"search_parameters": {
"engine": "google_scholar_author",
"hl": "en",
"view_op": "view_mandate",
"citation_id": "emNS0uYAAAAJ:DIP-VHrGjvwC"
},
"article": {
"title": "Influence of meteorological conditions on PM2. 5 concentrations across China: A review of methodology and mechanism",
"link": "https://scholar.google.com/scholar?oi=bibs&cluster=11357196984714387301&btnI=1&hl=en",
"cluster_id": "11357196984714387301",
"authors": "Z Chen, D Chen, C Zhao, M Kwan, J Cai, Y Zhuang, B Zhao, X Wang, ...",
"publication": "Environment international 139, 105558, 2020",
"year": 2020
},
"mandates": [
{
"title": "National Natural Science Foundation of China",
"link": "http://ir.nsfc.gov.cn/statement",
"cached_page_link": "https://scholar.google.com/mandates/nsfc_cn-2021-02-13-cn.pdf",
"funding": "…Beijing Natural Science Foundation (8202031) …",
"embargo": "12 months",
"date": "2014/5"
}
]
}
Colleagues (view_op=list_colleagues)
https://www.searchapi.io/api/v1/search?author_id=JicYPdAAAAAJ&engine=google_scholar_author&view_op=list_colleagues
- Python
- Node
- Ruby
- Java
- Go
- PHP
- Bash
- R
- Kotlin
- Swift
- C#
- C
- C++
- requests
import requests
url = "https://www.searchapi.io/api/v1/search"
params = {
"engine": "google_scholar_author",
"author_id": "JicYPdAAAAAJ",
"view_op": "list_colleagues"
}
response = requests.get(url, params = params)
print(response.text)
{
"search_metadata": {
"id": "search_AEM9arelpd2kFEmQoW0Nw8nB",
"status": "Success",
"created_at": "2023-08-11T11:50:27Z",
"request_time_taken": 0.99,
"parsing_time_taken": 0.01,
"total_time_taken": 1,
"request_url": "https://scholar.google.com/citations?user=JicYPdAAAAAJ&view_op=list_colleagues&hl=en&ie=UTF-8",
"html_url": "http://wwww.searchapi.io/api/v1/searches/search_AEM9arelpd2kFEmQoW0Nw8nB.html",
"json_url": "http://wwww.searchapi.io/api/v1/searches/search_AEM9arelpd2kFEmQoW0Nw8nB"
},
"search_parameters": {
"engine": "google_scholar_author",
"author_id": "JicYPdAAAAAJ",
"hl": "en",
"view_op": "list_colleagues"
},
"co_authors": [
{
"author_id": "m1qAiOUAAAAJ",
"name": "Terrence Sejnowski",
"link": "https://scholar.google.com/citations?hl=en&user=m1qAiOUAAAAJ",
"affiliations": "Francis Crick Professor, Salk Institute, Distingished Professor, UC San Diego",
"email": "Verified email at salk.edu",
"thumbnail": "https://scholar.googleusercontent.com/citations?view_op=small_photo&user=m1qAiOUAAAAJ&citpid=3"
},
{
"author_id": "RnoIxUwAAAAJ",
"name": "Vinod Nair",
"link": "https://scholar.google.com/citations?hl=en&user=RnoIxUwAAAAJ",
"affiliations": "Research Scientist, DeepMind",
"email": "Verified email at google.com",
"thumbnail": "https://scholar.google.com/citations/images/avatar_scholar_56.png"
},
{
"author_id": "ghbWy-0AAAAJ",
"name": "George E. Dahl",
"link": "https://scholar.google.com/citations?hl=en&user=ghbWy-0AAAAJ",
"affiliations": "Google Inc.",
"email": "Verified email at google.com",
"thumbnail": "https://scholar.googleusercontent.com/citations?view_op=small_photo&user=ghbWy-0AAAAJ&citpid=3"
},
{
"author_id": "tJ_PrzgAAAAJ",
"name": "Abdelrahman Mohamed",
"link": "https://scholar.google.com/citations?hl=en&user=tJ_PrzgAAAAJ",
"affiliations": "Research scientist, Facebook AI Research",
"email": "Verified email at fb.com",
"thumbnail": "https://scholar.googleusercontent.com/citations?view_op=small_photo&user=tJ_PrzgAAAAJ&citpid=4"
},
{
"author_id": "rr8pZoUAAAAJ",
"name": "Radford Neal",
"link": "https://scholar.google.com/citations?hl=en&user=rr8pZoUAAAAJ",
"affiliations": "U Toronto *** GOOGLE SCHOLAR CAN GIVE WRONG PUBLICATION DATE/REFERENCE …",
"email": "Verified email at utstat.toronto.edu",
"thumbnail": "https://scholar.googleusercontent.com/citations?view_op=small_photo&user=rr8pZoUAAAAJ&citpid=2"
},
{
"author_id": "bf7ilxMAAAAJ",
"name": "Sidney Fels",
"link": "https://scholar.google.com/citations?hl=en&user=bf7ilxMAAAAJ",
"affiliations": "Professor of Electrical and Computer Engineering, University of British Columbia",
"email": "Verified email at ece.ubc.ca",
"thumbnail": "https://scholar.googleusercontent.com/citations?view_op=small_photo&user=bf7ilxMAAAAJ&citpid=2"
},
{
"author_id": "rvKJDbIAAAAJ",
"name": "Chris Williams",
"link": "https://scholar.google.com/citations?hl=en&user=rvKJDbIAAAAJ",
"affiliations": "Professor of Machine Learning, University of Edinburgh",
"email": "Verified email at inf.ed.ac.uk",
"thumbnail": "https://scholar.google.com/citations/images/avatar_scholar_56.png"
},
{
"author_id": "Rr847PIAAAAJ",
"name": "David C. Plaut",
"link": "https://scholar.google.com/citations?hl=en&user=Rr847PIAAAAJ",
"affiliations": "Professor of Psychology, Carnegie Mellon University",
"email": "Verified email at cmu.edu",
"thumbnail": "https://scholar.googleusercontent.com/citations?view_op=small_photo&user=Rr847PIAAAAJ&citpid=6"
},
{
"author_id": "ZpG_cJwAAAAJ",
"name": "Robert Tibshirani",
"link": "https://scholar.google.com/citations?hl=en&user=ZpG_cJwAAAAJ",
"affiliations": "Professor of Biomedical Data Sciences, and of Statistics, Stanford University",
"email": "Verified email at stanford.edu",
"thumbnail": "https://scholar.googleusercontent.com/citations?view_op=small_photo&user=ZpG_cJwAAAAJ&citpid=2"
},
{
"author_id": "pKuBFaQAAAAJ",
"name": "Demetri Terzopoulos",
"link": "https://scholar.google.com/citations?hl=en&user=pKuBFaQAAAAJ",
"affiliations": "Distinguished Professor & Chancellor's Professor of Computer Science, UCLA",
"email": "Verified email at cs.ucla.edu",
"thumbnail": "https://scholar.googleusercontent.com/citations?view_op=small_photo&user=pKuBFaQAAAAJ&citpid=3"
},
{
"author_id": "vO2T2c0AAAAJ",
"name": "Steven L. Small",
"link": "https://scholar.google.com/citations?hl=en&user=vO2T2c0AAAAJ",
"affiliations": "University of Texas at Dallas",
"email": "Verified email at utdallas.edu",
"thumbnail": "https://scholar.google.com/citations/images/avatar_scholar_56.png"
}
]
}