Facebook Events Scraper β Cheap π
Pricing
$14.89/month + usage
Facebook Events Scraper β Cheap π
π Scrape Facebook Events Instantly Enter a keyword and instantly extract highly relevant Facebook events, including title, dates, location, description & event URL π Perfect for event research, trend analysis, audience insights, and enriching your Google Sheets, automations or AI pipelines
Pricing
$14.89/month + usage
Rating
5.0
(1)
Developer

ContactMinerLabs
Actor stats
1
Bookmarked
2
Total users
1
Monthly active users
17 hours ago
Last modified
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π Facebook Events Scraper β Fast, Accurate & Powerful ππ
The Facebook Events Scraper is a powerful and efficient tool designed to extract public Facebook events based on a keyword search.
Perfect for market research, audience targeting, lead generation, trend analysis, event discovery, competitor monitoring, dataset creation, and more.
π What This Scraper Does
Provide a keyword and the number of events you want β the scraper automatically searches Facebook Events and returns clean, structured data.
β It extracts:
| Field | Description |
|---|---|
eventId | Unique Facebook event ID |
title | Event title |
eventUrl | Direct link to the event page |
coverImage | Cover image URL |
startDate | Event start date |
endDate | Event end date (if available) |
location | Event venue / address |
city | City of the event (if detectable) |
description | Full event description |
category | Event category / type |
organizerName | Name of the event organizer |
organizerUrl | Link to the organizerβs page/profile |
interested | Number of users interested |
going | Number of users going |
snippet | Preview text extracted from the event card |
platform | "Facebook Events" |
timestamp | Scraped timestamp |
π How to Use the Scraper
Using the Facebook Events Scraper is extremely easy:
Enter a keyword (e.g. concerts, festivals, conferences, workshops)
Choose a time filter (any / month / year)
Set the maximum number of events
Run the scraper
Export your structured dataset
πΎ Export options:
π¦ JSONπ CSVπ Excelπ XML / HTML
π‘ Keyword Tips
πΉ Broad keywords β large datasets (concert, festival, meetup, party)
πΉ Niche keywords β more targeted results (yoga retreat 2024, tech conference Paris)
πΉ Qualifiers β ultra-precise (networking event, startup pitch night, jazz concert)
π Platform
This scraper targets Facebook Events exclusively and collects data only from available event section.
π° Pricing
This scraper uses a simple monthly subscription model. You pay only $14.89/month, and only for successful results.
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π Why Use This Scraper?
π Event Research β Discover trending local or global events
π Marketing Analysis β Study categories, organizers, audience size
π Dataset Creation β Ideal for AI/ML, recommendations & trend forecasts
β± Automation β Save hours of manual event searching
π― Competitor Monitoring β Track organizers, venues & event types
π₯ Input Schema
Input example :
{"KEYWORD": "concert","TIME_FILTER": "any","MAX_ITEMS": 20}
Input Fields:
| Field | Type | Description |
|---|---|---|
KEYWORD | string | Keyword used to find relevant events |
TIME_FILTER | string | Filters events by date |
MAX_ITEMS | integer | Maximum number of events to extract |
Output Example π§Ύ
{"eventId": "123456789012345","title": "Live Jazz Concert π·","eventUrl": "https://www.facebook.com/events/123456789012345","coverImage": "https://scontent.xx.fbcdn.net/cover_example.jpg","startDate": "April 12, 2024","endDate": "April 12, 2024","location": "Blue Note Jazz Club, New York","city": "New York","description": "Join us for a night of live jazz with top local artists.","category": "Music","organizerName": "NYC Jazz Events","organizerUrl": "https://www.facebook.com/nycjazzevents","interested": "3.4K","going": "890","snippet": "A night of unforgettable jazz performances...","platform": "Facebook Events","timestamp": "2024-03-05T10:42:13Z"}
π« Support
If you're satisfied with this scraper, please leave a β β β β β rating! π For any questions, specific needs or issues, please reach out through Apify's platform or via email - Storm_Scraper πͺοΈπ©οΈ