SITC publishes its annual meeting as a filterable schedule and a searchable abstract database. Our SITC scraper delivers both as tables of sessions, titles and institutions.
Plans from €169/month · Free project assessment · Reply within 1 business day
The meeting site is assembled in the browser: the schedule and the abstract database fill in after the page loads. We render the pages, read every session and every abstract entry, and deliver them as rows. You choose the meeting year, the sections and the moment - for example once when the regular titles are released and again when the late-breaking ones join them.
We build the crawlers, run them and re-fit them when the site is rebuilt for the next meeting; rendering, pacing and proxy rotation are part of the service. Member areas behind the login are not collected. Names of speakers and authors are personal data and stay out of the dataset by default - organisations, titles, numbers and categories go in.
Two record types make up most of a SITC extract: the session and the abstract. Each has its own key on the site - sessions carry a number in the title, such as Session 106a, and every abstract has an abstract number that also decides its poster day.
Speaker, chair and author names are shown on the site but are personal data, so the default dataset leaves them out and keeps the organisation. Every row carries the meeting year and the address it was read from.
Meeting content is released in steps, and a dataset is only as complete as the step it was taken at.
SITC is the Society for Immunotherapy of Cancer, a non-profit medical society based in Milwaukee, Wisconsin. Its website, sitcancer.org, serves members and the wider field: education programmes, career development, the society's journal JITC and its guidelines, news, and the annual meeting, which is where a data project usually starts.
Each meeting has its own area under the year - the current one is SITC 2026, held at the Phoenix Convention Center with pre-conference programmes before the main days. Inside it the menu splits into Schedule, Abstracts, Exhibit and Support, Attendee Resources and Press. The schedule can be narrowed to a single day and sorted by time, title, session type or room. The abstract section, Titles and Publications, is a search with filters for category, presenting author, institution, presentation type and abstract type. Exhibitors sit on an interactive floor plan with booth numbers, supporters on a page grouped by tier, and Industry Presentations lists sponsored symposia and tech talks by company.
Not everything is open. The member directory, community discussions and on-demand recordings ask for a login, and none of that is part of what we collect. What remains is the programme itself: what is presented, when, in which room, under which category and from which organisation.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →The abstract database of SITC 2026 alone holds more than a thousand titles, and the cancer immunotherapy field reads it through filters, a page at a time. A table changes that.
The dataset describes the programme, not the medicine: it carries titles, numbers, categories and organisations and offers no clinical guidance.
Learn how to use web scraping to solve data problems for your organization
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.
ScrapeIt is a managed data collection agency. For scientific and medical sources we do the same job as for any other site - build the crawler, run it, deliver documented tables - with stricter defaults: no patient data, no member areas, and names and contact details of researchers left out by default. Personal data is handled under GDPR, and we do not sell contact lists of people.
Society meeting sites like SITC change with every edition, so the work includes re-fitting the extraction each year and keeping the columns stable across meetings.
Yes. The ScrapeIt SITC API returns session number, title, session type, time and room, and for abstracts the number, title, Primary Category and presenting institution, as JSON from an endpoint we host, refreshed on the schedule you set. The same tables are also sent as CSV or XLSX files, through a JSON feed or into your database.
Yes. The schedule, abstract titles, exhibitor floor plan and supporter list are open pages of the meeting site. We collect only publicly available data - everything a visitor can see on SITC without logging in - and we collect it legally. Member-only areas are never entered, and personal names are left out by default.
Titles and author information of regular abstracts are published about a month before the meeting, and late-breaking titles in the last week before it. The embargo on regular abstracts lifts on the eve of the meeting, and on late-breaking abstracts on the first poster day. We schedule a run for each release, so the dataset follows the listing as it grows.
Yes. Recent meetings remain on the site under their own year with their abstract database and programme pages, and the archive lists past editions with their dates and city. One extraction across several years returns a single table with a meeting-year column.
Not by default. Names are personal data, so the standard dataset keeps the organisation - university, hospital or company - and drops the person. Sessions, titles, abstract numbers, categories and keywords are delivered in full.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
SITC data from €169/month. Free project assessment, reply within 1 business day.
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