We extract event schedules, ticket pricing tiers, venue coordinates, and organiser profiles from Meraevents. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Event Metadata objects from meraevents.com. All fields typed and schema-versioned.
"event_id": "ME-893241", "title": "Global Tech Summit 2026", "category": "Technology", "start_date": "2026-09-15T09:00:00Z", "format": "In-Person", "language": "English", "page_url": "https://www.meraevents.com/event/global-tech-summit-2026"
| # | event_id | title | category | sub_category | start_date | end_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Ticket & Pricing objects from meraevents.com. All fields typed and schema-versioned.
"ticket_id": "TKT-4921", "tier_name": "Early Bird VIP", "price": 4999.0, "currency": "INR", "availability": "Selling Fast", "max_per_order": 10, "early_bird_deadline": "2026-08-01T23:59:59Z"
| # | ticket_id | event_id | tier_name | price | currency | availability |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Venue Information objects from meraevents.com. All fields typed and schema-versioned.
"name": "BIEC Bengaluru International Exhibition Centre", "address": "10th Mile, Tumkur Road", "city": "Bengaluru", "state": "Karnataka", "pincode": "560073", "country": "India", "latitude": 13.0628, "longitude": 77.4748
| # | venue_id | event_id | name | address | city | state |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Complete list of extractable fields for Organiser Profiles objects from meraevents.com. All fields typed and schema-versioned.
"organiser_id": "ORG-992", "name": "TechIndia Expos", "profile_url": "https://www.meraevents.com/organiser/techindia-expos", "total_events": 42, "followers": 1284, "website": "https://techindiaexpos.in", "contact_email": "hello@techindiaexpos.in"
| # | organiser_id | name | profile_url | contact_email | contact_phone | total_events |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Speakers & Guests objects from meraevents.com. All fields typed and schema-versioned.
"name": "Priya Sharma", "designation": "Chief Technology Officer", "company": "DataFlirt", "session_time": "2026-09-15T11:30:00Z", "topic": "Scaling Data Pipelines", "linkedin_url": "https://linkedin.com/in/priyasharma-df"
| # | speaker_id | event_id | name | designation | company | bio |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Meraevents scraper handles every layer of the platform, including dynamic ticket widgets, venue geolocation data, and speaker agendas, with full JavaScript rendering built in.
Title, category, dates, description, and format scraped at the event level with full schedule mapping.
Capture ticket tiers, early bird deadlines, current prices, and availability statuses timestamped per crawl.
Extract venue names, full addresses, city mapping, and latitude/longitude coordinates for spatial analysis.
Organiser name, historical event count, contact details, and social links for every listed event.
Extract speaker names, designations, companies, and session timings from complex multi-day event schedules.
Normalised categorisation across tech, entertainment, sports, and training for precise filtering.
Track ticket inventory signals and sell-out velocity to model demand for specific event types.
Scrape events across Bengaluru, Mumbai, Delhi NCR, Hyderabad, and other major hubs simultaneously.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide category URLs, city filters, or organiser IDs. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for meraevents.com.
Schema validation, null-rate checks, and data type formatting before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Modern event platforms use dynamic widgets and strict rate limits. Here is how we stay resilient, and why teams choose managed infrastructure.
Event portals rate-limit aggressive scraping. Our crawlers use residential ISP proxies with realistic browser fingerprints and randomised request timing to maintain access without blocks.
Ticket pricing and availability often load via asynchronous JavaScript requests. We run full Playwright browser sessions to hydrate these components, capturing data that headless HTTP clients miss entirely.
Event descriptions and agendas vary wildly in formatting. Our selector strategy uses multiple fallback chains per field, ensuring unstructured text is parsed into clean JSON.
For large event catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, tracking price changes and availability drops efficiently.
Every run emits structured logs to our observability stack. We alert on null-rate spikes and schema drift, responding before you notice data gaps.
Event management companies monitor rival schedules, pricing tiers, and speaker line-ups to position their own conferences.
Ticketing platforms aggregate market rates across event categories to optimise their own dynamic pricing algorithms.
Venue owners and AV equipment providers extract organiser contact details to pitch services for upcoming events.
Real estate analysts track event density across specific venues and cities to gauge commercial real estate demand.
Analysts track the growth of specific event categories like AI workshops or hybrid conferences to identify market shifts.
Marketing teams identify high-profile events and extract organiser details to secure sponsorship opportunities early.
"Meraevents holds the most comprehensive index of professional and entertainment events in India, but tracking dynamic ticket inventory requires a dedicated pipeline."
Most teams underestimate the investment required: reliable Meraevents scraping requires residential proxies, full JavaScript rendering for ticketing widgets, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our meraevents.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering for dynamic ticketing widgets.
We maintain pools of residential ISP proxies across India regions. Rotation happens per-request to bypass basic rate limiting.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. State is stored in PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About meraevents.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Meraevents is generally permissible under applicable law. DataFlirt targets only public, non-authenticated event, pricing, and venue data. We do not extract personal attendee data or circumvent authentication walls. Clients should review terms of service and consult legal counsel for specific use cases.
We use full Playwright browser sessions to execute the JavaScript that loads ticketing tiers and pricing data. Our selectors target the hydrated DOM elements, ensuring we capture the exact prices and availability statuses displayed to users.
Yes. We can configure the pipeline to target specific regional subdomains, city filters, or event categories like technology conferences or music festivals, optimising crawl efficiency and data relevance.
For active pipelines, we typically run daily refreshes to capture new events and ticket price changes. High-priority events nearing sell-out can be monitored at higher frequencies if required by your use case.
Yes. We parse the unstructured HTML of event descriptions and dedicated agenda sections to extract speaker names, session timings, and topics into structured JSON arrays.
Our packages start at defined category or city tracking with weekly delivery. For full-site continuous monitoring or custom schema requirements, we price based on volume and delivery frequency. Contact us for a scoped quote.
Yes. Our change detection system compares current runs against historical hashes. If an event date changes or the status updates to cancelled, the pipeline emits a diff record with the new state.
Absolutely. We provide a sample run of up to 200 events as part of the pre-engagement scoping process, allowing you to validate schema fit and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off extraction of tech conferences or continuous monitoring of ticket pricing across 10,000 events, we scope, build, and operate the pipeline. Tell us what you need.
