This tutorial shows how to scrape Homes detached house detail pages into CSV with the Homes Detached House Detail Pages Scraper for UScraper. You will import the workflow, replace sample URLs, set the export path, validate a small batch, and interpret page_status.
Before you start
Prerequisites and source checks
You need UScraper installed as a local desktop app, the Homes detached house detail-page template, a CSV output folder, and current property detail URLs you are allowed to process. Start with five URLs, not fifty. Real estate pages expire often, and a small run shows whether the source still renders useful data.
The bundled workflow is modeled on LIFULL HOME'S detail pages with URLs like homes.co.jp/kodate/.... That naming matters. Search terms such as "how to scrape homes.com", "homes.com property scraper", and "homes.com api" are common, but U.S. Homes.com and LIFULL HOME'S are different sources with different terms, layouts, fields, and access behavior. If your actual target is U.S. Homes.com, review the current Homes.com terms of use and Homes.com robots.txt, then use a source-specific workflow.
Technical access is not permission. Review the source site's current rules, avoid bypassing access controls, keep runs modest, and get legal review before commercial reuse or republication.
Workflow anatomy
What the Homes detail pages scraper does
The JSON export is the authoritative workflow definition. In plain English, the flow is:
Set Window Size -> Navigate -> Wait for Page Load
-> Sleep -> Wait for Element -> Structured Export -> Loop Continue
The Navigate block holds the URL list. The waits give each page time to render. Structured Export uses the page body as the row context and runs JavaScript columns that look for HOME'S-style labels in tables, definition lists, headings, metadata, and visible text. Loop Continue advances to the next URL and appends another row.
The most important field is page_status. It separates usable property pages from expired, missing, blocked, or unknown pages, so a blank price or address is not mistaken for a valid "no value" result.
| Export area | Example columns | Why it matters |
|---|---|---|
| Source and status | URL, page_status | Trace each row and filter expired or blocked pages. |
| Identity | 物件タイプ, 物件名, 画像URL | Confirm the row belongs to the expected property. |
| Location and access | 所在地, 交通 | Review address and transit context for comparable analysis. |
| Price and size | 販売価格, 建物面積, 土地面積, 間取り | Compare detached house candidates across core attributes. |
| Planning and legal notes | 建ぺい率, 容積率, 用途地域, 都市計画, 地目, 土地の権利 | Keep planning fields available for downstream review. |
| Sale details | 販売スケジュール, 取引態様, 販売戸数___総戸数, 引き渡し可能年月 | Separate active opportunities from stale or incomplete pages. |
Runbook
How to scrape Homes property data to CSV
Import the template
Open Homes Detached House Detail Pages Scraper, download the workflow JSON, and import it into UScraper.
Replace the sample URLs
In Navigate, remove expired examples and paste your current approved detail-page URLs. Keep the original URL list in a separate note for audit and deduping.
Confirm waits
Run one URL with the browser visible. If the page needs more time, increase the Sleep duration before changing extraction logic.
Set the export folder
In Structured Export, confirm homes_detached_house_detailpage_scraper.csv, headers, append mode, and a project-specific local save location.
Validate, then widen
Compare the first CSV row against the open detail page. When URL, status, price, area, address, and floor plan look correct, add the rest of the URL batch.
Append mode can mix test rows with production rows. Use a dated filename or clear the CSV before rerunning the same URLs.
Validation
Validate the export before analysis
Open the CSV and check rows from the beginning, middle, and end of the run. Reopen each source URL and compare the page with the exported fields. The goal is to prove each row describes the intended property page.
| Check | Pass condition | Fix if it fails |
|---|---|---|
| URL traceability | Every row has the source URL. | Recheck Navigate input and append-mode leftovers. |
page_status | Valid pages are not marked expired or blocked. | Slow the run, refresh URLs, or inspect verification prompts. |
| Price and floor plan | Values match the visible detail page. | Confirm selectors still match the source layout. |
| Area fields | Building and land area use expected units. | Normalize units after export. |
| Blank columns | Blanks are explainable by page content or status. | Review one blank row in the browser before bulk cleaning. |
Troubleshooting
Common issues when scraping Homes detail pages
The URL loaded, but the page text matched expired or not-found language. Refresh your source list from current search results or remove that URL from the analysis batch.
API comparison
Homes.com API, scraper APIs, or a local desktop workflow?
The search phrase "homes.com api" has strong commercial intent, but API and scraping workflows solve different problems. Use an official or contracted API route for production rights, stable schemas, quotas, and support. Use a hosted scraper API when you want managed infrastructure. Use UScraper when a human operator needs a supervised local CSV from a known URL list.
| Route | Better when | Trade-off |
|---|---|---|
| UScraper template | You have approved detail URLs and need a no-code CSV you can inspect locally. | You maintain waits, source compliance, and selector validation. |
| Official or partner API | You need sanctioned production access, support, and stable contracts. | Requires eligibility, implementation, and permitted-use review. |
| Hosted scraper API or actor | You need cloud scheduling or managed scraping infrastructure. | Property URLs and output pass through a third-party service. |
Frequently asked questions
The template is built around LIFULL HOME'S detail URLs on homes.co.jp. Validate fields and selectors against the actual URLs you run.
For more no-code extraction workflows, browse the UScraper template library or the UScraper blog. When you are ready to run this workflow, start from the Homes Detached House Detail Pages Scraper template and validate one row before you scale.