We extract academic conferences, CFP deadlines, venue details, and organiser metadata from ConferenceAlerts. 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 Details objects from conferencealerts.com. All fields typed and schema-versioned.
"event_id": "CA-984210", "title": "International Conference on Machine Learning and Data Science", "event_type": "Conference", "start_date": "2026-09-14", "end_date": "2026-09-16", "topic_category": "Computer Science", "website_url": "https://icmlds2026.org", "status": "Active"
| # | event_id | title | event_type | start_date | end_date | topic_category |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Call for Papers (CFP) objects from conferencealerts.com. All fields typed and schema-versioned.
"event_id": "CA-984210", "cfp_deadline": "2026-05-30", "submission_url": "https://easychair.org/conferences/?conf=icmlds2026", "notification_date": "2026-07-15", "camera_ready_date": "2026-08-01", "publication_journals": "['IEEE Xplore', 'Springer CCIS']", "indexing_services": "['Scopus', 'Web of Science']"
| # | event_id | cfp_deadline | submission_url | notification_date | camera_ready_date | publication_journals |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Venue & Location objects from conferencealerts.com. All fields typed and schema-versioned.
"event_id": "CA-984210", "venue_name": "Marina Bay Sands Expo and Convention Centre", "city": "Singapore", "country": "Singapore", "region": "Asia", "virtual_event": false, "venue_type": "Convention Centre"
| # | event_id | venue_name | city | state | country | region |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Organiser Info objects from conferencealerts.com. All fields typed and schema-versioned.
"event_id": "CA-984210", "organiser_name": "Global Research Society", "contact_person": "Dr. Alan Turing", "contact_email": "committee@icmlds2026.org", "organiser_website": "https://globalresearchsociety.org", "society_affiliation": "IEEE", "past_events_count": 14
| # | event_id | organiser_name | contact_person | contact_email | contact_phone | organiser_website |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Registration & Pricing objects from conferencealerts.com. All fields typed and schema-versioned.
"event_id": "CA-984210", "early_bird_deadline": "2026-06-15", "standard_fee": 450.0, "student_fee": 250.0, "currency": "USD", "registration_url": "https://icmlds2026.org/register", "inclusions": "['Gala Dinner', 'Proceedings', 'Lunch']"
| # | event_id | early_bird_deadline | early_bird_fee | standard_fee | student_fee | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our ConferenceAlerts scraper maps unstructured event listings into strict relational schemas. We handle pagination, date parsing anomalies, and anti-bot protection automatically.
Event dates and CFP deadlines are parsed from raw text strings into ISO 8601 format, handling timezone offsets and multi-day spans.
Extract discrete city, state, and country fields from concatenated location strings. We normalise country names to ISO 3166-1 alpha-2 codes.
Monitor Call for Papers deadlines continuously. We detect extensions and date modifications, pushing updates to your warehouse.
Extract primary and secondary academic disciplines (e.g., Medicine, Engineering, Humanities) mapped to the event record.
Capture society names, contact persons, and email addresses to build comprehensive academic outreach directories.
Extract the canonical event website URL and submission portal links (e.g., EasyChair, EDAS) from the listing body.
Scrape events across all regions and continents, paginating through thousands of country-specific index pages.
Receive only new events and updated listings on daily or weekly cadences, reducing ingestion costs and duplication.
Built-in residential proxy rotation and TLS fingerprinting to bypass Cloudflare and regional blocking mechanisms.
Brief in. Clean data out.
Select target categories, regions, or date ranges. We map the required fields and define the delivery frequency.
We deploy Scrapy spiders with residential proxies and custom date-parsing middleware for ConferenceAlerts.
Schema validation, null-rate checks on critical fields like CFP deadlines, and venue normalisation rules are tested.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Conference directories rely on user-generated submissions, leading to messy data. Here is how we enforce schema rigidity.
Event dates are often submitted in varied formats (e.g., '12-14 Sept 2026' or 'October 1st to 3rd'). Our pipeline uses NLP-based date parsing middleware to convert these into strict ISO 8601 start and end date columns.
Academic conferences frequently extend their Call for Papers deadlines. We maintain a hash index of event IDs and emit a diff record whenever a deadline changes, allowing you to trigger alerts in your downstream systems.
ConferenceAlerts organises data across deep hierarchical categories (Topic > Country > City). Our crawlers map the entire taxonomy tree, ensuring zero dropped records during full-catalogue extractions.
Scraping thousands of event pages triggers standard WAF protections. We distribute requests across residential IP pools with randomised delays, preventing blockages and ensuring pipeline reliability.
Event descriptions often contain raw HTML, inline CSS, and erratic whitespace. We strip malicious tags, normalise whitespace, and deliver clean UTF-8 text ready for LLM ingestion or display.
Journal publishers track upcoming conferences to acquire high-quality proceedings and solicit manuscript submissions.
Hotel chains and airlines ingest event dates and venue data to forecast local demand spikes and adjust dynamic pricing models.
B2B marketing teams identify highly targeted academic and medical conferences for exhibition and sponsorship opportunities.
Academic platforms aggregate CFP deadlines to build alert systems for researchers looking to publish their work.
Professional societies monitor competing events in their discipline to optimise their own event scheduling and pricing.
Service providers extract organiser contact details to pitch event management software, AV equipment, or catering services.
"Academic event data is notoriously fragmented. ConferenceAlerts centralises it, but you still need a pipeline to make CFP deadlines and venue data queryable."
Most teams underestimate the investment required: reliable event scraping requires handling messy date formats, unstandardised venue strings, and frequent CFP extensions. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our conferencealerts.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 high-throughput crawl orchestration and taxonomy traversal. Playwright is deployed selectively for Javascript-rendered contact details or protected endpoints.
We maintain global pools of residential ISP proxies. Rotation happens per-request to bypass rate limits and geographic blocking without degrading extraction speed.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About conferencealerts.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available academic event listings is generally permissible under applicable law. DataFlirt extracts only public, non-authenticated event metadata, CFP deadlines, and venue details. We do not bypass login walls to access private organiser dashboards or attendee lists.
Our pipeline uses custom Python-based NLP date parsers (like dateutil) to interpret unstructured text strings. We normalise all dates to strict ISO 8601 format, separating start dates, end dates, and CFP deadlines into distinct columns.
Yes. We run change-detection algorithms on subsequent crawls. If an event's CFP deadline field changes, we emit a diff record indicating the new date, allowing you to update your database automatically.
We can configure pipelines to run daily, weekly, or monthly depending on your requirements. Daily runs are typical for tracking imminent CFP deadlines, while weekly runs suffice for general event discovery.
Yes, we extract publicly listed contact emails and phone numbers associated with the event. Where emails are obfuscated by simple JavaScript or image tags, we use Playwright and OCR to resolve the text.
Absolutely. During the scoping phase, you can specify target topics (e.g., Artificial Intelligence, Cardiology) or regions (e.g., Europe, North America). We configure the spider to only traverse those specific category paths.
Our minimum engagement typically involves a weekly extraction of a defined set of categories or regions. Contact us with your specific volume requirements for a scoped quote.
Yes. We provide a sample run of up to 500 event records as part of the pre-engagement scoping process. This allows you to validate the date normalisation, venue parsing, and field completeness.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off dump of medical conferences or a continuous feed of engineering CFP deadlines — we scope, build, and operate the pipeline. Tell us what you need.
