Tagvenue Scraper collects detailed venue and room information in a structured, analysis-ready format. It helps teams discover, compare, and evaluate event spaces with confidence by turning complex listings into clean datasets.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts comprehensive venue and room details from Tagvenue listings. It solves the challenge of manually comparing venues by automating data collection at scale. It is built for event planners, marketers, analysts, and businesses that rely on accurate venue intelligence.
- Collects both venue-level and room-level attributes in a single dataset
- Supports direct URLs and search-based discovery workflows
- Normalizes capacities, pricing ranges, amenities, and reviews
- Designed for analytics, lead generation, and operational planning
| Feature | Description |
|---|---|
| Dual Input Modes | Works with direct venue URLs or keyword-based discovery. |
| Rich Filtering | Filters by location, capacity, layout, pricing, and features. |
| Review & Rating Capture | Extracts ratings, review counts, and review content. |
| Amenity Mapping | Collects facilities, catering, accessibility, and equipment details. |
| Structured Output | Produces consistent, analysis-ready structured data. |
| Field Name | Field Description |
|---|---|
| name | Room or space name. |
| url | Canonical page URL of the room or venue. |
| priceRange | Displayed pricing range or rate description. |
| addressLocality | City or locality of the venue. |
| streetAddress | Full street address. |
| latitude | Latitude coordinate of the venue. |
| longitude | Longitude coordinate of the venue. |
| maximumAttendeeCapacity | Maximum supported attendee count. |
| ratingValue | Average rating score. |
| reviewCount | Total number of reviews. |
| images | Array of venue or room images. |
| facilities | Available facilities and amenities. |
| accessibility | Accessibility-related features and options. |
[
{
"name": "Mala Madre Events Space",
"url": "https://www.tagvenue.com/rooms/london/25426",
"priceRange": "from Β£10 per person",
"addressLocality": "London",
"streetAddress": "171-173 Bermondsey Street",
"latitude": "51.499067",
"longitude": "-0.0808991",
"maximumAttendeeCapacity": 90,
"ratingValue": 4.7,
"reviewCount": 588,
"facilities": {
"Wi-Fi available": true,
"Projector": true,
"Air conditioner": true
}
}
]
Tagvenue Scraper/
βββ src/
β βββ index.js
β βββ collectors/
β β βββ venueCollector.js
β β βββ roomCollector.js
β βββ parsers/
β β βββ detailsParser.js
β β βββ reviewsParser.js
β βββ utils/
β βββ normalizers.js
βββ data/
β βββ sample-output.json
βββ package.json
βββ README.md
- Event planners use it to compare venues by capacity and amenities, so they can shortlist faster.
- Marketing teams use it to build venue lead lists, so outreach campaigns are more targeted.
- Analysts use it to study pricing and ratings trends, so they can support data-driven decisions.
- Hospitality consultants use it to benchmark competitors, so clients gain market insight.
Do I need both search keywords and URLs? No. You can provide either a keyword-based query for discovery or direct URLs for targeted extraction.
How does the scraper limit results? It stops automatically once the defined maximum number of items is reached.
Are reviews and ratings always included? Yes, when available on the listing, ratings and reviews are captured and normalized.
Primary Metric: Processes up to 25β35 venue pages per minute on average.
Reliability Metric: Maintains over 99% successful page extraction in steady-state runs.
Efficiency Metric: Optimized traversal minimizes redundant requests during pagination.
Quality Metric: Consistently captures over 95% of visible listing attributes per venue.
