We extract event schedules, venue details, museum exhibitions, restaurant listings, and accessibility data from esmadrid.com. 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 Events & Exhibitions objects from esmadrid.com. All fields typed and schema-versioned.
"event_id": "EVT-8492", "title": "Picasso 1906: The Great Transformation", "category": "Art & Exhibitions", "start_date": "2024-11-15", "end_date": "2025-03-04", "venue_name": "Museo Nacional Centro de Arte Reina Sofia", "price_range": "12.00 EUR"
| # | event_id | title | category | start_date | end_date | venue_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Venues & Monuments objects from esmadrid.com. All fields typed and schema-versioned.
"venue_id": "VEN-1029", "name": "Palacio Real de Madrid", "type": "Monument", "address": "Calle de Bailen, s/n, 28071 Madrid", "latitude": 40.4179, "longitude": -3.7143, "nearest_metro": "Opera (L2, L5, R)"
| # | venue_id | name | type | address | latitude | longitude |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Restaurants & Dining objects from esmadrid.com. All fields typed and schema-versioned.
"restaurant_id": "RST-4421", "name": "Sobrino de Botin", "cuisine_type": "Traditional Spanish", "neighborhood": "Sol / Gran Via", "price_tier": "$$$", "phone_number": "+34 913 66 42 17", "michelin_stars": 0
| # | restaurant_id | name | cuisine_type | neighborhood | price_tier | address |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Accommodations objects from esmadrid.com. All fields typed and schema-versioned.
"hotel_id": "HTL-992", "name": "Hotel Riu Plaza Espana", "category": "Hotel", "star_rating": 4, "neighborhood": "Conde Duque", "amenities": "['Rooftop Bar', 'Pool', 'Free WiFi']", "contact_phone": "+34 910 88 28 00"
| # | hotel_id | name | category | star_rating | address | neighborhood |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Itineraries objects from esmadrid.com. All fields typed and schema-versioned.
"itinerary_id": "ITN-04", "title": "Madrid in 48 Hours", "duration_hours": 48, "distance_km": 12.5, "stops_count": 14, "difficulty": "Moderate", "points_of_interest": "['Prado Museum', 'Retiro Park', 'Plaza Mayor']"
| # | itinerary_id | title | duration_hours | distance_km | stops_count | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our scraper extracts complete tourism catalogues: normalising event dates, parsing complex opening schedules, and mapping geospatial coordinates across all Madrid districts.
Capture exhibition dates, theatre showtimes, and concert schedules. We parse complex date strings into standard ISO 8601 formats.
Extract deep metadata for museums and monuments, including historical descriptions, ticket tiers, and nearest public transit options.
Extract embedded latitude and longitude coordinates for all points of interest, ready for ingestion into GIS or routing engines.
Scrape dining options by neighbourhood, cuisine type, and price tier, complete with contact details and reservation links.
Extract detailed accessibility metadata for venues, including wheelchair access, audio guides, and tactile exhibits.
Parse irregular opening hours, seasonal closures, and public holiday schedules into structured JSON arrays.
Scrape content in Spanish, English, French, and other supported languages by managing session locales.
Capture general admission, reduced rates, and free entry days for all listed attractions and exhibitions.
Run pipelines weekly or daily to detect newly announced events, pop-up exhibitions, and seasonal itinerary changes.
Brief in. Clean data out.
Provide categories, neighbourhoods, or specific event types. We design the extraction schema together.
We configure Scrapy crawlers, session management, and pagination logic for esmadrid.com.
Schema validation, null-rate checks, and geospatial coordinate verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting structured data from government tourism portals requires precise handling of irregular formats and session states.
Tourism sites often display dates as 'Every Tuesday in May' or '15 Nov to 3 Mar'. Our pipeline uses NLP-based date parsing to convert these natural language strings into queryable start and end timestamps.
To extract English data reliably, we manage HTTP headers, cookies, and URL parameters to prevent the site from redirecting the crawler back to the default Spanish locale.
Latitude and longitude are often buried in JavaScript objects or map iframe parameters. We parse the DOM and embedded scripts to extract precise coordinates for every venue and restaurant.
Content entered by different municipal departments often results in varying DOM structures. We use multiple fallback selectors to ensure data extraction succeeds regardless of the specific page template.
For static monuments, we maintain a hash index. Subsequent runs only push diffs for updated opening hours or new events, reducing your downstream processing load.
Online travel agencies integrate local events and venue data to enrich booking flows and offer comprehensive city guides.
Corporate concierges and event planners track upcoming exhibitions and concerts to build custom itineraries for clients.
Navigation apps map tourist points of interest and correlate them with public transit nodes to optimise routing algorithms.
Hospitality analysts track venue density, restaurant pricing tiers, and event frequency across different Madrid districts.
Machine learning teams use structured tourism datasets to train conversational AI agents for travel recommendations.
Digital publishers syndicate esmadrid.com event data to populate their own local event calendars and newsletters.
"Madrid's official tourism portal holds the definitive dataset for city events and venues, but extracting structured spatial and temporal data requires a dedicated pipeline."
Most teams underestimate the investment required to normalise event dates, parse complex opening hours, and extract geospatial coordinates from esmadrid.com. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our esmadrid.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 and deduplication. Playwright handles JavaScript rendering for interactive maps and dynamic content.
We maintain persistent sessions with strict locale headers to ensure consistent language extraction without unexpected redirects.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About esmadrid.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We configure the crawler session to request specific locales (e.g., English, French) by managing HTTP headers and cookies, ensuring the extracted text matches your target language.
We use custom Python parsers to convert descriptive date strings (like 'Weekends in July') into structured start and end timestamps, making the data queryable in your database.
Yes. We parse embedded map data and JavaScript objects on venue pages to extract precise geographic coordinates for integration into mapping applications.
Pipelines typically run daily or weekly to capture new events and updated opening hours. We configure the cadence based on your specific freshness requirements.
Yes. We capture image URLs and can either deliver the raw URLs in the dataset or download the assets to an S3 bucket for your direct usage.
Engagements start with a defined extraction scope (e.g., all museums and current events). We price based on the frequency of runs and the complexity of the required schema.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off dump of all monuments or a continuous feed of upcoming events * we scope, build, and operate the pipeline. Tell us what you need.
