iTown Page Listing Scraper
The iTown Page listing scraper turns detail pages from itp.ne.jp into a structured CSV export for local business research. Import the template into the UScraper desktop app, feed it iTown Page URLs, and collect company names, source URLs, Japanese category tags, addresses, phone numbers, recommendation copy, and run timestamps without building a custom crawler.
CSV
12
URL list
itp.ne.jp
Free import
Use cases
Who uses an iTown data extractor
Sales teams building Japan prospect lists
Capture local business names, categories, phone numbers, and addresses from known detail URLs, then qualify the CSV in Excel or your CRM before outreach.
Market researchers mapping local services
Compare company density by neighborhood or service category when you need a repeatable iTown business scraper instead of manual directory browsing.
Operations teams cleaning directory records
Append timestamped exports over time, spot stale phone numbers, and reconcile source URLs against an internal branch or vendor database.
Teams avoiding hosted scraping queues
Run the workflow in a local desktop app so input URLs and CSV files remain under your workstation controls.
The source bundle is built for detail pages rather than broad keyword search. That makes it useful after you already have a list of iTown Page URLs from search, browsing, or another discovery workflow. If you need adjacent local datasets, pair it with the Japan charging spot information scraper, OpenStreetMap listing scraper, or Tabelog store list scraper.
How it works
Navigate, wait, extract, repeat
The automation is intentionally simple. It sets a large browser window, opens each supplied iTown Page detail URL, waits for page load, pauses briefly, confirms the page body is visible, and then runs a Structured Export. After the row is written, a short sleep and Loop Continue block advance the graph to the next URL.
Run the template from import to export
- 1
Download and import
Use the page CTA to download the hosted JSON template, then import it into UScraper.
- 2
Replace the sample URLs
Swap in the iTown Page listing-detail URLs you want to review. Keep the first test batch small.
- 3
Run the browser flow
UScraper opens each URL, waits for the page body, and handles the loop without selector-by-selector setup.
- 4
Open the CSV
Review
itown-store-scraper-cloud-only.csv, then rename or move it into your reporting folder.
Output preview
iTown Page to CSV field reference
itown-store-scraper-cloud-only.csvColumn
Key
Page title or fallback listing group label.
Column
管理番号
Record ID parsed from the listing URL path.
Column
会社名
Company or store name from the page heading or metadata.
Column
URL
The source iTown Page detail URL.
Column
業種_タグ1-5
Up to five business category tags found on the page.
Column
住所
Address text when iTown Page exposes it.
Column
電話番号
Telephone number from tel links or visible page text.
Column
おすすめポイント
Short recommendation, catch copy, or description text.
Column
現在の時刻
Local timestamp generated at export time.
Sample rows
2 of many
| Key | 管理番号 | 会社名 | URL | 業種_タグ1-5 | 住所 | 電話番号 | おすすめポイント | 現在の時刻 |
|---|---|---|---|---|---|---|---|---|
| 千代田区 水道設備 | 520000562400110001 | Example Water Service Co. | 水道工事; 設備保守 | 東京都千代田区内神田1-1-1 | 03-1234-5678 | Emergency repairs and maintenance support. | 2026-06-02 12:10:33 | |
| 板橋区 清掃業 | 135583650172560630 | Tokumaru Cleaning Office | 清掃; 衛生管理 | 東京都板橋区徳丸2-2-2 | 03-9876-5432 | Local cleaning support for offices and facilities. | 2026-06-02 12:11:08 |
UScraper versus cloud iTown scrapers
| Dimension | This UScraper template | Hosted actors and cloud templates |
|---|---|---|
| Runtime | Local desktop app browser session | Vendor-hosted browser or API queue |
| Input | Known detail URL list | Often keyword, area, or hosted task configuration |
| Output | CSV file saved to your chosen folder | Download from vendor console or API |
| Best fit | Controlled research batches and repeatable local exports | Large managed jobs where cloud operation is preferred |
Frequently asked questions
iTown Page data can be public, but automated collection may still be limited by itp.ne.jp terms, robots controls, privacy rules, database rights, or local law. Use reasonable volume, avoid restricted or personal data, review the official terms, and get legal advice before using exports for commercial outreach.
Before you run
Practical limits and maintenance notes
Keep the workflow dependable
Start with small batches before scaling
Directory pages can respond differently by region, category, or session. Test 10 to 20 URLs first, then increase volume once the CSV columns look consistent.
Selectors may need updates after site redesigns
The export uses robust JavaScript fallback logic, but empty company names or missing addresses usually mean the page structure changed.
Review terms before outreach or resale
Treat the CSV as research input, not automatic permission to call, email, republish, or resell directory records.
Get Started
Download and use this template instantly
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
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