Research analysts
Topic tracking
Favorable to scraping
Build a dependable index of NLI Research publications by category, author, and date before reviewing which reports belong in a market, insurance, healthcare, or policy brief.
Academic Research$50Free
NLI Research Report Scraper
The NLI Research Report Scraper extracts structured metadata from NLI Research Institute report detail pages and saves it as a clean CSV export. Use it when you already have a list of report URLs and need titles, dates, authors, departments, research categories, page numbers, and source links without copying each report page by hand.
Output
CSV
Columns
8
Input mode
Multi-URL
Source
NLI reports
Template
Free import
At a glance
Export NLI Research reports to CSV
Replace the sample NLI Research report URLs with your own detail-page list, run the template, and open the appended CSV in Excel, Sheets, Airtable, or a research database.
The template focuses on report metadata rather than full article-body extraction, which makes it useful for building indexes, monitoring new publications, and preparing curated reading lists.
Who uses it
Report metadata collection use cases
Knowledge management teams
Library upkeep
Favorable to scraping
Export NLI Research reports into a shared spreadsheet, normalize departments and research areas, then attach notes, tags, and internal owners without retyping metadata.
Consultants and agencies
Evidence gathering
Favorable to scraping
Collect source URLs and publication details for client research packs while keeping the batch transparent enough for peer review and citation checks.
How to use
From report URL list to structured CSV
1
Download and import the template
Use the download link on this page, then import the JSON file into the UScraper local desktop app.
2
Replace the sample report URLs
Open the Navigate block and paste the NLI Research detail pages you want to process. Start with a small list so you can validate the output quickly.
3
Confirm the save folder
The Structured Export block writes nli-research-report-scraper.csv. Change the save location if your team keeps exports in a project or shared research directory.
4
Run the workflow
UScraper opens each page, waits for the report title, extracts the configured metadata columns, appends one row, waits briefly, and advances to the next URL.
5
Review and enrich the file
Open the CSV, spot-check a few source URLs, then add analyst tags, topic labels, or translation notes in your downstream spreadsheet.
Output preview
What the NLI Research CSV export contains
nli-research-report-scraper.csvColumn
area
High-level report area inferred from breadcrumb or known category labels.
Column
page_number
The pno value from the current URL, or 1 when no page number is present.
Column
title
Report title from page metadata or the visible report heading.
Column
date
Publication date as shown on the report page.
Column
author
Author name parsed from visible report author text.
Column
department
Department or research center associated with the author.
Column
research_area
Detailed report categories joined into a semicolon-separated value.
Column
title_url
The exact report URL opened during the run.
Sample rows
2 of many
| area | page_number | title | date | author | department | research_area | title_url |
|---|---|---|---|---|---|---|---|
| Economy | 1 | Japan economic outlook and household sentiment | 2026-05-28 | Sample Author | Economic Research Department | Economy; Policy | |
| Insurance | 1 | Insurance market trends and consumer protection | 2026-05-21 | Sample Researcher | Insurance Research Department | Insurance; Social Security |
Headers included - one row per configured report URL - blank cells mean the field was not visible on the page
For adjacent research workflows, pair this page with the RISS Academic Information Search Scraper, the Google News Keyword Scraper, and the Universal Content Scraper. Browse the full library at uscraper.io/templates or install the app from uscraper.io/download.
Frequently asked questions
NLI Research Institute reports may be publicly visible, but automated collection can still be limited by site terms, robots directives, copyright, database rights, privacy rules, or local law. Keep volume modest, respect technical controls, and get legal review before redistributing, republishing, or selling report metadata.
Before you run
Practical limits and maintenance notes
Guardrails for reliable NLI Research exports
Pacing
Start with a short URL list
Test a few report URLs first, compare the CSV against the visible pages, and avoid parallel unattended runs against the same source.
Layout
Watch for selector drift
The template waits for the visible report title and extracts fields from rendered page text. If NLI Research changes headings, breadcrumbs, or author formatting, update the Structured Export columns before scaling.
Policy
Check site rules before commercial reuse
Review NLI Research Institute policies and robots guidance before building large datasets. Metadata exports are useful for internal research, but public redistribution may require separate permission.
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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