Recruiting teams
Employer mapping
Compare visible OpenWork score categories across target companies before building candidate outreach, market maps, or hiring research notes.
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This OpenWork job reviews scraper turns public company profile URLs into a structured CSV for employer research, market mapping, and compensation analysis. Import the workflow into the UScraper local desktop app, add one or more OpenWork company pages, and export score metrics, salary ranges, and source URLs without writing scraper code.
CSV
12
Company URLs
Multi-URL loop
Free
At a glance
OpenWork company pages expose summary signals that are useful when comparing employers at a portfolio level. This template focuses on the company TOP page rather than individual review pagination: it captures the total evaluation score, workplace satisfaction dimensions, average respondent salary, salary range, and the exact page URL used for the run.
The automation path is intentionally small. UScraper navigates to a company profile, waits for page load, waits until .averageScore appears, sleeps for one second, exports a row from the rendered page, then uses Loop Continue to advance to the next configured URL. No in-page pagination was detected for this company-summary workflow, so each input URL is expected to produce one row.
OpenWork metrics in one file
Export the fields analysts need for side-by-side employer comparisons: total score, satisfaction dimensions, average salary, salary range, and source URL.
Multi-company batches
Add multiple company profile URLs to Navigate and let the loop append every successful company profile into one CSV with headers.
Local desktop execution
The stock workflow writes to your configured local folder and does not send the CSV through a hosted scraping actor.
Useful for Japanese employer research
Use the export as a reviewable snapshot before deeper analysis in Excel, Sheets, BI tools, or internal research workflows.
Who this is for
Recruiting teams
Employer mapping
Compare visible OpenWork score categories across target companies before building candidate outreach, market maps, or hiring research notes.
Analysts
Salary checks
Export average respondent salary and salary range fields beside source URLs so each number remains traceable during spreadsheet review.
Agencies
Repeatable reporting
Build small, auditable batches for approved company lists, while keeping OpenWork policy checks and data reuse review separate from collection.
For broader job-market research, pair this page with the Doda Job Listing Scraper, BizReach Job Listings Scraper, and Google Job Scraper. You can also browse the UScraper template library for enrichment workflows after the OpenWork export.
How to use
Add company URLs
Replace the sample OpenWork company profile URLs in the Navigate block with the companies you want to compare. Keep one profile URL per input.
Confirm the export path
Structured Export writes openwork-job-reviews-cloud-only-scraper.csv with headers enabled and append mode on. Change the save folder before client or research runs.
Run the loop
UScraper navigates, waits for the page, waits for the score block, pauses briefly, exports one structured row, and continues to the next URL.
Open and audit the CSV
Review row counts, blank score cells, salary formatting, and source URLs before using the file in dashboards or downstream analysis.
Output preview
The export mirrors the workflow definition and keeps one row per company profile URL. Because the bundle did not include a sample CSV, the rows below are realistic examples based on the configured output fields.
| ページのURL | 合計得点 | 待遇面の満足度 | 社員の士気 | 回答者の平均年収 | 年収範囲 |
|---|---|---|---|---|---|
| https://www.openwork.jp/company.php?m_id=a0C1000000s1mgI | 3.72 | 3.4 | 3.6 | 620万円 | 350万円~1,050万円 |
| https://www.openwork.jp/company.php?m_id=a0910000000G33n | 3.18 | 3.0 | 3.1 | 540万円 | 300万円~900万円 |
| https://www.openwork.jp/company.php?m_id=a0910000000FrPl | 4.01 | 3.9 | 4.2 | 710万円 | 420万円~1,300万円 |
openwork-job-reviews-cloud-only-scraper.csvColumn
ページのURL
The source OpenWork company profile URL from the current browser location.
Column
合計得点
The visible total evaluation score from the company score block.
Column
待遇面の満足度
Compensation and benefits satisfaction score parsed from the page text.
Column
社員の士気
Employee morale score when the label is present on the company page.
Column
風通しの良さ
Workplace openness score extracted from the summary metrics.
Column
回答者の平均年収
Average respondent salary text, such as 620万円.
OpenWork pages may be publicly visible, but automated collection can still be limited by OpenWork terms, robots directives, copyright, privacy law, and how you reuse employee-review data. Keep batches modest, avoid bypassing access controls, and get legal review before publishing, reselling, or training models on exported data.
Before you run
Keep these constraints visible
Login, CAPTCHA, or registration gates may appear
The workflow waits for the public score block. If the page blocks access, do not bypass controls; use manual review or an approved data-access route.
OpenWork labels and layout can change
Blank cells usually mean a score label changed, the page uses a different layout, or the company profile lacks that metric. Update the export columns before rerunning large batches.
Employee-review data needs careful reuse
Treat the CSV as a research export, document your lawful basis, and avoid republishing personal or sensitive review-derived material without legal and platform-policy review.
Download the free template, install the local desktop app from UScraper download, and use this workflow whenever you need to export OpenWork reviews into a structured CSV.
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