Export structured publication data for your research.
Google Scholar Scraper
Search Google Scholar for publication titles, authors, snippets and available paper links.
$4.99 / 1,000 results
Illustrative output format
queryquery | paperTitlepaperTitle | urlurl | authorsauthors | publicationInfopublicationInfo | yearyear | citedBycitedBy | paperAbstractpaperAbstract |
|---|---|---|---|---|---|---|---|
| deep learning | Deep learning | https://synapse.koreamed.org/pdf/10.4258/hir.2016.22.4.351 | I Goodfellow,Y Bengio,A Courville, Y Bengio | 2016 - synapse.koreamed.org | 2016 | — | Kwang Gi Kim https://doi. org/10.4258/hir. 2016.22. 4.351 ing those who are beginning theircareers indeeplearningand artificial intelligence research. The other target audience … |
About these output fields
| Field | Type | Description |
|---|---|---|
query | string | Query. Optional when absent at the source. |
paperTitle | string | Paper title. Optional when absent at the source. |
url | string | Url. Optional when absent at the source. |
authors | string | Authors. Optional when absent at the source. |
publicationInfo | string | Publication info. Optional when absent at the source. |
year | number | Year. Optional when absent at the source. |
citedBy | string | Cited by. Optional when absent at the source. |
paperAbstract | string | Paper abstract. Optional when absent at the source. |
pdfUrl | string | Pdf url. Optional when absent at the source. |
What you can do
Compare saved results in your own reports or applications.
Set your sources
Open the scraper and enter your own URLs, search terms and limits.
Review & run
Check the cost estimate and confirm the task. Follow its progress in your account.
Use your data
Explore saved results and export CSV, JSON or XLSX. Downloads of saved results are free.
Example input
This is the configured parser input. Replace the example sources with your own and review all limits before running.
{
"queries": [
"deep learning"
],
"language": "en",
"pages": 2,
"maxItems": 12
}Explore input fields
| Field | Type | Notes |
|---|---|---|
queries | array | Search terms, one per line. |
language | string | Interface language code, for example en. |
startYear | integer | Only papers published in or after this year. |
endYear | integer | Only papers published in or before this year. |
pages | integer | Number of result pages to read for each search term (10 results per page). |
maxItems | integer | Maximum number of papers to return across all search terms. |
Run through the API
Create an API key in your account, send the input to the queued endpoint and use the returned task ID to retrieve results. Sending a live request uses credits. Replace the example Idempotency-Key with a fresh unique key for each task; keep that key when retrying the same task.
curl --request POST 'https://extracto.cloud/api/v1/parsers/google-scholar-scraper/queue' \
--header 'X-API-KEY: ext_your_api_key' \
--header 'Idempotency-Key: replace_with_a_new_unique_task_key' \
--header 'Content-Type: application/json' \
--header 'Accept: application/json' \
--data-binary @- <<'JSON'
{
"input": {
"queries": [
"deep learning"
],
"language": "en",
"pages": 2,
"maxItems": 12
}
}
JSON- Best fit
- Starter
- rows / mo
- 9.8K
- Concurrency
- Up to 2
- $ / 1k rows
- $4.99
Use monthly volume to plan your credit budget. Estimates use the base rate; package credit price, options, task minimums and rounding may change usage. Purchased credits are paid once, with no automatic renewal. Execution capacity is shared. API submissions: up to 10/second.
Frequently asked questions
What counts as one result?
One publication. Collects publication search results. Citation counts and PDF links are optional. This parser does not download full papers or provide a complete citation database.
Can I use the API and No-Code form?
Yes. Submit a task in the web interface or through the Extracto API, then retrieve its saved results after completion.
Your next dataset starts here.
Choose your sources, review the price and run Google Scholar Scraper.