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Jev Use Cases
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Jev Use Cases
A repository described as Jev use cases; the captured README documents an Austrian hotel ranking pipeline that merges Google Maps and Booking.com data, matches the ÖHV member list from meinhotel.at and computes a 0–100 guest score, with dashboards and Excel reports.
- Stars
- 0
- Language
- Python
- Reading time
- 2 min
- Published by
- Community
- Author
- schilfschneider
- Last verified
- Oct 2026
Used inJev for Sales & Marketing
Highlights
- Collects lodging businesses across Austria from Google Maps (Places API) and Booking.com (Demand API) and merges both sources per business.
- Matches them against the ÖHV member list from meinhotel.at and computes a 0–100 ÖHV guest score.
- Outputs an interactive HTML dashboard with filters by state, type, stars, amenities and membership, plus member vs non-member comparisons.
- Also produces Excel reports: full ranking with methodology, and a per-district membership-rate report with acquisition potential.
- The no-credentials demo runs with invented businesses: pip install -r requirements.txt then python -m hotelabgleich demo.
Quickstart
bash
pip install -r requirements.txt
python -m hotelabgleich demo # erfundene Betriebe → data/demo/oehv_ranking.htmlWatch out
README reviewed 2026-10-17; the captured German section documents the hotel-ranking pipeline and never names Jev, so the Jev connection rests on the repository name and its 'Jev Use Cases' description. The digest truncates the real-run section and shows no Jev API usage.
Questions about this entry
Short answers drawn from the linked project or page.
A repository described as Jev use cases; the captured README documents one of them: a pipeline that ranks Austrian lodging businesses and matches them against the ÖHV hotel-association member list.
Google Maps via the Google Places API and Booking.com via its Demand API, merged per business, then matched against the ÖHV member list from meinhotel.at.
A 0–100 score computed per business from the merged source data; hotels_scored.json carries all businesses with source values, score, rank and membership status.
An interactive HTML dashboard with search, filters, rankings and member versus non-member comparisons, an Excel workbook with the comparison and methodology, and a per-district membership-rate report.
Yes: install requirements and run python -m hotelabgleich demo, which uses invented businesses and writes data/demo/oehv_ranking.html. The real run needs GOOGLE_MAPS_API_KEY and Booking.com API access.
No. The captured German text describes the hotel ranking pipeline and never names Jev; the Jev connection rests on the repo name and the 'Jev Use Cases' description, and the digest cuts off before any Jev details.
A Python repository with 0 stars, created 2026-10-14 and pushed 2026-10-15 per GitHub metadata, with no licence listed in the digest.
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