🏭 Eventseye Trade Shows Scraper

Pull structured records from Eventseye Trade Shows — clean fields ready as CSV, JSON, JSONL, Excel, or XML for downstream pipelines.

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parseforge/eventseye-trade-shows-scraper on Apify. Call: ApifyClient("TOKEN").actor("parseforge/eventseye-trade-shows-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: maxItems (integer, default 10), category (string, default "industrial-fairs"), region (string, default ""), country (string, default ""), month (string, default ""), yearOffset (integer, default 0). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~eventseye-trade-shows-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations

🚀 Scrape international trade shows and exhibitions from EventsEye. Get show names, dates, venues, organizers, exhibitor counts, visitor counts, industries covered, and contact details for B2B event marketing and lead generation.

Trade shows drive B2B sales in every industry, from industrial and medical to food and consumer goods. EventsEye catalogs fairs worldwide with dates, locations, exhibitor counts, and attendance data. This tool pulls category listings with detailed stats so you can plan your exhibition calendar or research your competitors.

The Eventseye Trade Shows Scraper collects trade show and industrial fair listings with names, dates, locations, exhibitor counts, visitor numbers, exhibition space, frequency, and categories across 30+ industry sectors worldwide.

Target Audience	Exhibition planners, sales teams, event organizers, marketing teams, industry media
Primary Use Cases	Exhibition planning, competitive research, event benchmarking, trade show calendar building

📋 What Does It Do

This tool collects trade show and exhibition data from EventsEye, supporting category, region, country, and month filtering. It delivers:

• 🏢 Trade show listings - names, URLs, and categories for events worldwide
• 📅 Dates - upcoming edition dates and first edition year
• 📍 Locations - city and country for each event
• 🏛️ Exhibitor counts - number of exhibiting companies
• 👥 Visitor numbers - attendance figures
• 📐 Exhibition space - net square meters of floor space
• 🔁 Frequency - annual, biennial, or other schedules
• 🗂️ 30+ categories - industrial, medical, food, consumer goods, tech, construction, and more

🎬 How to Use the Eventseye Scraper - Full Demo

🚧 Demo video coming soon

🚀 How to Use

1. Sign Up - Create a free account w/ $5 credit (takes 2 minutes)
2. Find the Scraper - Search for "Eventseye Trade Shows Scraper" in the Apify Store
3. Set Input - Pick a category and choose whether to fetch detail pages
4. Run It - Click "Start" and let it collect your data
5. Download Data - Get your results in the "Dataset" tab as CSV, Excel, or JSON

No Technical Skills Required: Everything is point-and-click

📊 Data fields

Each record includes: category, dates, exhibitionSpaceSqm, exhibitorCount, firstEdition, frequency, location, name, scrapedAt, url, visitorCount. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Eventseye Trade Shows Scraper page on the Apify Store.
3. 🎯 Set input. Configure the input fields in the form (or paste a JSON), then set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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Pro Tip: 💡 Browse our complete collection of data collection actors to find the perfect tool for your business needs.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.