This tutorial shows how to scrape OpenWork reviews from public company listing pages into CSV with the OpenWork Job Reviews Scraper template for UScraper. You will import the workflow, set the export path, validate rows, and troubleshoot common extraction issues.
Use the OpenWork Job Reviews Scraper template as the download path. This article explains what it collects, which settings to change, and how to decide whether a CSV is ready for analysis.
Before you start
Prerequisites and OpenWork access checks
You need UScraper as a local desktop app, a CSV folder, and an OpenWork listing page you can inspect in a normal browser. Start from the official OpenWork company list or search within OpenWork, then test one page before expanding the crawl.
OpenWork is an employee-review and recruitment information platform, so policy review matters. Read the current OpenWork terms and robots.txt before automation, especially if the output leaves your team or feeds model training.
Technical access is not permission. Do not use a scraper to bypass login walls, CAPTCHA, private account areas, paid access controls, or any page you are not allowed to collect.
Workflow anatomy
How the OpenWork job reviews scraper works
The JSON export is the authoritative workflow definition. In plain English, the flow looks like this:
Set Window Size -> Navigate -> Wait for Page Load
-> Wait for Element -> Structured Export
-> Check Next Page -> Click Next -> Wait -> Sleep -> loop
The Navigate block starts at https://www.openwork.jp/company_list?src_str=. Wait for Element looks for company links. Structured Export reads each matching listing row into a local CSV. A condition checks for an enabled next-page link; true clicks, waits, sleeps, and loops, while false ends the run.
This is intentionally listing-focused. Detail fields such as salary range or compliance awareness may require company pages, login, or approved OpenWork permissions.
| CSV column | What it captures |
|---|---|
company_name | Visible company name from the listing row. |
company_url | OpenWork company profile URL for source tracing. |
overall_rating | Visible overall score when the row exposes one. |
industry | Industry text parsed near rating and review labels. |
employee_review_count | Employee review count normalized without comma separators. |
salary_pay_review_count | Salary and pay review count when present. |
questions_count | Question count from the listing row. |
job_postings_count | Visible job posting count. |
followers_count | Follower count normalized into a numeric-looking cell. |
raw_listing_text | Cleaned full row text for audits and selector debugging. |
Runbook
How to scrape OpenWork reviews to CSV
Import the template
Download the hosted JSON from the template page and import it into UScraper.
Choose the listing entry point
Use the default company list, or copy a narrower OpenWork listing URL into Navigate.
Set the export path
In Structured Export, change the save folder. Keep the filename openwork_job_reviews_public_listing.csv during QA.
Run one page visibly
Confirm company links and counts are visible. Stop if a registration gate, CAPTCHA, or unexpected access prompt appears.
Validate, then paginate
Compare several CSV rows to OpenWork, then let the next-page loop continue.
Append mode puts every page in one file. During QA, clear the CSV between tests or deduplicate by company_url, company_name, and raw_listing_text.
Validate the OpenWork data extraction
Treat the first CSV as a dated snapshot and inspect it before dashboards.
| Check | What to verify |
|---|---|
| Source traceability | Every row should include a usable company_url. |
| Company match | company_name should match the visible OpenWork listing, not navigation text. |
| Rating sanity | overall_rating should look like a score, not a count or a stray number from the page. |
| Count parsing | Review, question, job, and follower counts should be numeric. |
| Blank cells | Some fields may be blank if OpenWork does not expose that label in a row. |
| Duplicates | Repeated rows usually come from append-mode reruns or pagination loops restarting. |
Alternatives
OpenWork scraper alternatives and trade-offs
Searches like best OpenWork scraping tool and OpenWork scraper alternative usually compare local workflows, hosted extraction, and custom code.
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper OpenWork template | Supervised local CSV from listing pages | You own selector checks and pacing. |
| Octoparse OpenWork template | No-code extraction with a vendor template | Field availability depends on that workflow. |
| Octoparse cloud-only template | Cloud runs when local supervision is not the priority | Data leaves the local workflow path. |
| Spider OpenWork scraper | Hosted scraping and managed infrastructure | Review pricing, handling, and field coverage. |
| OpenWork review summarizer code | Developer-controlled collection and summarization | Account-based access makes policy review central. |
The wider UScraper template library is useful when OpenWork is only one source in a recruiting or company-research workflow. For more scraping tutorials and comparisons, browse the UScraper blog.
Troubleshooting
Common OpenWork scraping issues
Confirm OpenWork rendered company rows. Zero rows usually mean loading, access prompts, or selector drift.
FAQ
Frequently asked questions
Public visibility is not blanket permission. Check terms, robots directives, copyright, privacy rules, and your reuse plan before collecting or redistributing employee-review data.