Sympla Event Listings Scraper
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from $3.00 / 1,000 results
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Sympla Event Listings Scraper
Scrape detailed event listings from Sympla.com.br with advanced filters. Collect event names, descriptions, venues, pricing, organizer info, and 30+ fields per listing — perfect for event aggregators, market research, and event analytics.
Pricing
from $3.00 / 1,000 results
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Sympla Events Scraper: Extract Brazilian Event Data at Scale
What Is Sympla?
Sympla.com.br is Brazil's largest event ticketing and discovery platform, hosting thousands of events across music, entertainment, sports, education, and more. From free community gatherings to premium conferences, Sympla connects organizers with attendees nationwide. Manually collecting event data across categories, locations, and date ranges is impractical — the Sympla Events Scraper automates this, delivering structured, searchable event records on demand.
Overview
The Sympla Events Scraper extracts comprehensive event listings from Sympla.com.br with flexible search and URL-based modes. It is ideal for:
- Event aggregators building multi-source event databases
- Market researchers analyzing event trends in Brazil by category or city
- Event analytics platforms tracking industry patterns, pricing, and attendance
- Travel and tourism companies sourcing regional entertainment data
- Developers integrating Sympla data into custom applications
Key features include dual scraping modes (URLs or keyword filters), price and event-type filtering, and detailed venue and organizer information across 30+ fields.
Input Format & Configuration
The scraper supports two flexible input modes:
Mode 1: Scrape by URLs
| Parameter | Type | Description |
|---|---|---|
urls | Array | Direct links to Sympla event listing pages (category, search, city, or collection pages) |
ignore_url_failures | Boolean | If true, continues scraping even if some URLs fail |
max_items_per_url | Integer | Maximum events extracted per URL (default: 20) |
Use Mode 1 when you have specific URLs to scrape (e.g., a particular city or collection).
Mode 2: Scrape by Search Filters
| Parameter | Type | Values | Description |
|---|---|---|---|
keyword | String | Any text | Search term (event name, keyword) |
price | String | "0" or "1" | "0" = Free events, "1" = Paid events |
event_type | String | "", "normal", "online", "ondemand" | "" = All types; "normal" = In-person; "online" = Virtual; "ondemand" = On-demand |
start_date | String | YYYY-MM-DD format | Earliest event date (optional) |
end_date | String | YYYY-MM-DD format | Latest event date (optional) |
max_items_per_url | Integer | Positive integer | Events per page |
Use Mode 2 for broad searches across Sympla without pre-defined URLs. Leave the urls array empty when using filters.
Output Format & Field Definitions
Sample output
Each event returns a rich record with 30+ fields:
Event Identification
| Field | Meaning |
|---|---|
ID | Unique Sympla event identifier |
Name | Official event title |
Description | Full event description (text) |
URL | Direct link to the event listing page |
Image | Featured event image URL |
Status | Current status (e.g., scheduled, cancelled, finished) |
Event Type & Format
| Field | Meaning |
|---|---|
Is Online | Boolean: whether the event is virtual or in-person |
Event Type | Category (normal, online, on-demand) |
Event Category ID | Numeric ID for the event category |
Event Category Name | Category label (e.g., Music, Sports, Education) |
Event Genre ID | Sub-category ID for additional classification |
Timing & Schedule
| Field | Meaning |
|---|---|
Start Time | Event start date and time (ISO format) |
End Time | Event end date and time |
Timezone | Timezone of the event location (e.g., America/Sao_Paulo) |
Sales Start Time | When ticket sales open |
Sales End Time | When ticket sales close |
Venue & Location
| Field | Meaning |
|---|---|
Venue Name | Name of the physical venue (if in-person) |
Address | Street address of the venue |
City | City name (e.g., São Paulo) |
State | Brazilian state code (e.g., SP, RJ) |
Country | Country code (typically BR for Brazil) |
Postal Code | ZIP code of the venue |
Latitude | Geographic latitude for mapping |
Longitude | Geographic longitude for mapping |
Organizer & Contacts
| Field | Meaning |
|---|---|
Organizer ID | Unique identifier for the event organizer |
Organizer Name | Name of the person or company hosting the event |
Ticketing & Pricing
| Field | Meaning |
|---|---|
Service Fee | Sympla's transaction fee per ticket |
Tributes Percentage | Percentage applied to specific ticket types |
Currency | Currency code (typically BRL for Brazilian Real) |
Max Installments | Maximum number of payment installments allowed |
Tickets | Array of ticket types with prices and availability |
Policies & Content Moderation
| Field | Meaning |
|---|---|
Age Rating | Minimum age requirement (if applicable) |
Cancellation Policy | Refund and cancellation terms |
How to Use
Using URLs Mode (Most Common)
-
Identify listing pages — Navigate to Sympla and find event listing pages:
- City-based:
https://www.sympla.com.br/eventos/sao-paulo-sp?category=city - Collections:
https://www.sympla.com.br/eventos/halloween?category=collection - Search results:
https://www.sympla.com.br/eventos?s=keyword
- City-based:
-
Copy URLs — Paste the full URLs into the
urlsarray. -
Configure limits — Set
max_items_per_urlto control volume per page (default20). -
Run the scraper — Start the actor and monitor progress.
-
Export results — Download as JSON, CSV, or Excel.
Using Search Filter Mode
- Choose filters — Set keyword, price type (
"0"or"1"), and event type. - Optional: Set date range — Use
start_dateandend_date(format:YYYY-MM-DD). - Run — The scraper searches Sympla and returns matching events.
- No URLs needed — Leave the
urlsarray empty.
Troubleshooting:
- If results are limited, increase
max_items_per_urlor use broader keywords. - Set
ignore_url_failures: truefor large batch runs to prevent interruptions. - Ensure date formats are
YYYY-MM-DDfor reliable filtering.
Use Cases & Business Value
- Event Aggregator Platforms: Import Sympla data into multi-source event databases for end-users to discover.
- Market Intelligence: Track event frequency, pricing trends, and organizer activity in Brazil by region and category.
- Tourism & Hospitality: Source entertainment events for travel guides and tourist information platforms.
- Ticket Analytics: Analyze cancellation policies, fee structures, and ticket availability patterns.
- Academic Research: Study event market dynamics and consumer behavior in Brazilian entertainment.
The scraper delivers ready-to-use event data that integrates seamlessly into spreadsheets, databases, and analytics tools — eliminating hours of manual collection.
Conclusion
The Sympla Events Scraper is a comprehensive solution for anyone needing Brazilian event data at scale. With dual input modes, advanced filtering, and 30+ output fields, it transforms Sympla's extensive event catalog into actionable, machine-readable records. Whether you're building an aggregator or analyzing market trends, this scraper saves time and unlocks insights.
Legal note: Respect Sympla.com.br's Terms of Service and applicable Brazilian data protection regulations when scraping and using event data.
