Researchers
Topic discovery
Favorable to scraping
Collect candidate articles for a review, then filter the CSV by title, abstract terms, journal issue, or PDF availability before deciding which records deserve deeper reading.
Academic Research$50Free
J-STAGE Keyword Scraper
A J-STAGE keyword scraper for turning academic search results into a clean CSV. Import the template, edit the globalSearchKey value from machine learning to your topic, and UScraper collects article titles, authors, bibliographic notes, abstracts, article URLs, and PDF links from J-STAGE result pages.
Output
CSV
Columns
6
Pages
Auto loop
Blocks
10
Cloud
None
What it does
Export J-STAGE articles from keyword searches
Starts from a normal keyword result page
The template opens a J-STAGE global search URL with globalSearchKey=machine%20learning. Change that parameter to scrape J-STAGE results for another topic, journal theme, material phrase, or research method.
Captures research metadata into fixed columns
The Structured Export block pulls each result into title, authors, bibliographic_info, abstract, article_url, and pdf_link, so analysts do not have to rebuild rows manually from browser tabs.
Keeps walking through result pages
A small JavaScript step marks detected result rows and the next-page control. UScraper exports the current page, checks whether the next control exists, clicks it, waits, and repeats the same capture path.
Keeps the export local
The run happens in the local desktop app and writes to a folder you choose. That makes it useful for research teams that need repeatable academic article extraction without sending query lists through a hosted scraping service.
Who uses it
Built for literature research, market scans, and academic QA
Libraries and knowledge teams
Database checks
Favorable to scraping
Export J-STAGE articles for recurring subject queries and compare new rows against previous CSVs when maintaining guides, alerts, or source inventories.
Product and patent analysts
Technical monitoring
Favorable to scraping
Track Japanese and international academic output around materials, robotics, biotech, AI, or energy terms without building a custom J-STAGE data extractor from scratch.
How to use
Navigate, wait, export, and loop through J-STAGE pages
1
Download and import the template
Use the Download Free button on this page, then import the JSON file into UScraper.
2
Edit the keyword in Navigate
Replace machine%20learning in the globalSearchKey URL parameter with the search phrase you want to collect.
3
Confirm the save folder
The bundled export writes j-stage-keyword-scraper.csv; change the save location if your team keeps research files in a shared project folder.
4
Run the workflow
UScraper loads the page, waits for article links, tags result rows, and appends the visible results to the CSV.
5
Let pagination finish
The loop clicks the marked next-page control while it exists, waits for the new results, and stops cleanly when no next page is found.
Output preview
What the J-STAGE CSV looks like
j-stage-keyword-scraper.csvColumn
title
Article title from the J-STAGE result link.
Column
authors
Visible author names, joined into one cell when multiple names appear.
Column
bibliographic_info
Journal, volume, issue, page, release, and access notes when exposed on the result row.
Column
abstract
The visible abstract, summary, or snippet after UI labels are cleaned away.
Column
article_url
Absolute URL to the J-STAGE article page.
Column
pdf_link
PDF URL when J-STAGE exposes a PDF link on the result card.
Sample rows
2 of many
| title | authors | bibliographic_info | abstract | article_url | pdf_link |
|---|---|---|---|---|---|
| Deep learning approach for materials image analysis | A. Tanaka; M. Sato | Journal of Advanced Materials | 2025 Volume 12 Issue 3 Pages 140-152 | This study evaluates feature extraction for microscopy datasets and reports benchmark accuracy across three models. | ||
| Machine learning model for earthquake response prediction | Y. Nakamura; K. Ito | Structural Engineering Reports | 2024 Volume 70 Issue 2 Pages 81-95 | The paper compares regression and ensemble methods for estimating structural response under simulated seismic loads. |
Headers are included once; each additional results page appends underneath.
Pair this workflow with the Naver Academic Scraper, RISS Academic Information Search Scraper, and Google SERP Scraper when your research pipeline needs coverage beyond J-STAGE. You can also browse the UScraper template library or install the local desktop app before importing this JSON.
Frequently asked questions
J-STAGE provides public article and journal pages, but automated access can still be governed by site terms, publisher rights, robots directives, copyright rules, and local law. Use modest volume, avoid bypassing CAPTCHA or access controls, do not republish protected full text, and get legal review before using the dataset commercially.
Practical limits and maintenance notes
Guardrails for reliable J-STAGE exports
Pacing
Avoid aggressive repeated runs
Large unattended loops can trigger throttling or CAPTCHA. Keep one run active at a time, add more waiting if pages load slowly, and stop when the site asks for verification.
Layout
Result markup can change
The row marker and export columns depend on visible J-STAGE result cards. If J-STAGE redesigns search results, update the row detection and column logic before trusting a fresh dataset.
Rights
Metadata is easier than full-text reuse
Treat article metadata, abstracts, and PDFs differently. A CSV of links and bibliographic notes is not the same as permission to redistribute publisher content or full paper text.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
Open-source templates
UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.
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