Academic researchers
Topic discovery
Favorable to scraping
Collect candidate papers for a Korean literature review, then filter by year, journal, indexing label, language, and material type before deciding what to read.
Academic Research$50Free
RISS Academic Information Search Scraper
The RISS Academic Information Search Scraper turns RISS result pages into a structured CSV for literature review, bibliographic cleanup, and academic market research. It extracts the fields researchers usually copy by hand: title, authors, publisher, journal, volume or issue, publication year, language, indexing data, material type, pages, provider link, subject keywords, and abstract.
Output
CSV
Columns
15
Default pages
1-5
Source
RISS
Template
Free import
At a glance
RISS to CSV for academic search results
Collect bibliographic metadata
Use it when you need a repeatable way to scrape RISS result rows instead of copying Korean academic database records one at a time.
Run multiple result pages
The bundled workflow navigates five known RISS URLs for the sample keyword iphone. Edit the URL list to change the query, result type, sort, or page count.
Export research-ready rows
The Structured Export block writes a CSV with stable headers, so analysts can open results in Excel, Sheets, Zotero prep sheets, or internal review workflows.
Keep custody local
Searches run from your desktop browser session and the CSV lands in your chosen folder, which helps teams that cannot send research queries through a cloud scraper.
Who uses it
Built for literature review and research operations
Library teams
Metadata QA
Favorable to scraping
Export RISS results for a known query and compare provider links, page ranges, and publisher fields against catalog or discovery-system records.
Market analysts
Evidence gathering
Favorable to scraping
Track academic attention around products, industries, or policy topics without rebuilding the same RISS spreadsheet every week.
How to use
From template import to CSV export
1
Download and import
Download the hosted template JSON, import it into UScraper, and open the workflow canvas.
2
Set the RISS URLs
Replace the default iphone result-page URLs in the Navigate block with the RISS query and pages you want to collect.
3
Choose the save folder
Confirm the Structured Export save location and keep append mode if you want all pages in one CSV.
4
Run the workflow
UScraper sets the browser size, navigates each URL, waits for result rows, adds a short pause, then enriches valid list items before export.
5
Open the output
Review the CSV, spot-check row counts, and rerun with a smaller URL set if selectors need maintenance after a RISS layout change.
Output preview
What the RISS academic search export contains
riss_academic_information_search_scraper_clean.csvColumn
keyword
The query value parsed from the RISS URL.
Column
title
Academic result title.
Column
authors
Author names when shown on the result row.
Column
journal_name
Journal or publication name parsed from compact metadata.
Column
publication_year
Year detected from the result metadata.
Column
full_text_url
Detail or full-text provider URL when exposed.
Sample rows
2 of many
| keyword | title | authors | journal_name | publication_year | full_text_url |
|---|---|---|---|---|---|
| iphone | Smartphone adoption and mobile learning behavior | Kim J.; Lee H. | Korean Journal of Digital Studies | 2024 | ... |
| iphone | Consumer perception of mobile device ecosystems | Park S. | Journal of Consumer Research Korea | 2022 | ... |
Headers included - rows append across the configured RISS URL list
| CSV column | What it helps you check |
|---|---|
publisher, journal_name, volume_issue | Normalize citation metadata before review. |
indexing_info, material_type, language | Segment domestic journal articles, theses, reports, and indexed records. |
pages, provider, full_text_url | Route follow-up reading to the right source or document access path. |
subject_keywords, korean_abstract | Build screening notes without opening every result detail page. |
Comparison
Local desktop scraper vs cloud academic scrapers
| Factor | This UScraper template | Typical hosted scraper |
|---|---|---|
| Runtime | Your local desktop browser session | Vendor-managed cloud browser |
| Output custody | CSV saved to your folder | Downloaded from a web dashboard or API |
| Setup | Import JSON and edit RISS URLs | Configure actor inputs, credits, and account settings |
| Best fit | Sensitive research lists, small batches, repeatable reviews | Large managed crawls where cloud execution is approved |
For adjacent research workflows, pair this page with the Google SERP Scraper, the Google News Keyword Scraper, and the Universal Content Scraper. Browse all templates at uscraper.io/templates or install the app from uscraper.io/download.
Frequently asked questions
RISS records may be publicly searchable, but automated collection can still be limited by RISS terms, robots directives, copyright in abstracts, database rights, privacy rules, or institutional license terms. Keep volume modest, do not bypass technical safeguards or login walls, and get legal review before publishing or reselling a dataset.
Before you run
Practical limits and maintenance notes
Guardrails for reliable RISS exports
Pacing
Start with a short URL list
Test one or two pages first, confirm row counts, then increase page coverage gradually. Avoid parallel runs against the same source.
Layout
Watch for empty CSV rows after redesigns
RISS can change result markup. If output drops to zero, inspect the page manually and update the row detection logic before scaling.
Policy
Respect RISS and provider rules
Full-text links can point to third-party providers with separate license terms. Treat exported metadata and abstracts as research aids, not automatic redistribution rights.
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
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