Local SEO teams
Reputation audits
Export review text, dates, and ratings from approved Golocal business pages, then group recurring complaints or praise by location.
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This Golocal reviews scraper turns supplied Golocal.de business detail URLs into a structured CSV for reputation research, local competitor analysis, and review monitoring. Import the workflow into the UScraper local desktop app, add approved detail pages, and export business title, overall rating, review count, reviewer name, review date, reviewer rating, review text, and source URL without writing code.
CSV
8
Multi-URL
503 aware
Free
At a glance
Golocal is a German local business directory, so review exports are most useful when each row keeps the review beside the business page context. This template collects page-level fields like titel, kundenbewertung, and anzahl_der_rezensionen, then repeats them beside each visible reviewer, date, individual rating, review text, and detail page URL.
Use it as a Golocal data extractor for controlled research sets: local SEO audits, review snapshots for branch networks, competitor tracking by city, or quality checks before outreach. If a project needs broader reputation coverage, pair it with the Trustpilot Reviews Scraper, Google Maps Reviews Scraper, and Tripadvisor Hotel Reviews Scraper.
Review rows with business context
Keep the business title, overall score, and review count on every row so the CSV stays useful after filtering, joining, or combining several Golocal detail pages.
Pagination is already wired
The graph checks for a next-page control with German and English variants, clicks it when available, waits for the page, and appends the next batch.
Local desktop execution
The stock template writes to your configured local folder and does not send exported review text through a hosted scraping actor.
Built-in retry pacing
The workflow detects 503 Service Unavailable, waits, refreshes twice, and skips blocked URLs instead of mixing error pages into the export.
Who this is for
Local SEO teams
Reputation audits
Export review text, dates, and ratings from approved Golocal business pages, then group recurring complaints or praise by location.
Market researchers
Competitor tracking
Compare public review volume and rating patterns across nearby service providers without copying data manually from each detail page.
Agencies
Client reporting
Build repeatable CSV snapshots for monitoring, while keeping platform rules, personal data handling, and quote reuse under separate review.
Browse the UScraper template library when you need a follow-up scraper for search results, directories, or contact enrichment after identifying businesses in Golocal.
How to use
Add Golocal detail URLs
Replace the sample URLs in the Navigate block with the Golocal business detail pages you are allowed to process. Use canonical detail pages, not category listings.
Confirm the export path
Structured Export writes golocal-bewertungen-scraper.csv with headers enabled and append mode on. Change the save folder before client-specific batches.
Run the review loop
UScraper navigates, waits for the page body, retries 503 pages, opens review tabs when detected, scrolls, exports matching review blocks, and follows pagination.
Open and audit the CSV
Spot-check a few source URLs, empty cells, and duplicate rows before using the file in reporting, dashboards, or text analysis.
Output preview
The export shape comes from the workflow definition. Because no sample CSV was bundled, the rows below are realistic examples that mirror the configured columns.
| titel | kundenbewertung | anzahl_der_rezensionen | person_name | datum | person_kundenbewertung | text | detail_page_url |
|---|---|---|---|---|---|---|---|
| Beispiel Sanitär GmbH | 4.6 | 23 | Marie K. | 2026-04-12 | 5 | Freundlicher Termin, schnelle Reparatur und klare Rechnung. | https://www.golocal.de/berlin/beispiel/ |
| Autohaus Muster | 3.9 | 41 | Jonas R. | 2026-03-28 | 4 | Beratung war gut, Wartezeit bei der Abholung etwas lang. | https://www.golocal.de/hamburg/muster/ |
golocal-bewertungen-scraper.csvColumn
titel
Business title from the detail page heading or structured page metadata.
Column
kundenbewertung
Overall rating value when Golocal exposes it on the page.
Column
anzahl_der_rezensionen
Visible or structured review count for the business.
Column
person_name
Reviewer name shown inside the review block.
Column
datum
Review date from a time element, date metadata, or visible date text.
Column
text
Visible review body cleaned into one line.
Comparison
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper Golocal template | No-code users who need a local CSV from known Golocal detail URLs | Best for controlled batches, not unattended high-volume crawling |
| Hosted Golocal scraping actors | Teams that prefer managed infrastructure and API-style runs | URLs and review text pass through a third party and may bill per run or row |
| Manual copy-paste | One-off checks on a few reviews | Slow, error-prone, and hard to repeat for reporting |
Golocal pages can contain publicly visible business reviews, but automated collection may still be limited by Golocal terms, robots directives, copyright, privacy law, and how you reuse the data. Keep runs modest, avoid bypassing access controls, and get legal review before republishing or reselling exported reviews.
Before you run
Keep these constraints visible
503 pages are skipped after retries
Golocal may return 503 Service Unavailable during automated sessions. The template waits, refreshes twice, and moves on if the detail page still does not load.
Review markup can change
Empty review fields usually mean the detail page layout, review tab, or pagination markup changed. Refresh the selectors before relying on production exports.
Treat review text as governed content
Reviews can include personal data and protected language. Use the CSV for approved research workflows and document your basis for collection, storage, and reuse.
Download the free template, install the local desktop app from UScraper download, and use this workflow whenever you need to export Golocal reviews into a structured CSV.
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