A plain request gets 403 and an agency that names itself gets 200. The first check on any government source is whether it just wants to know who is asking.
Plans from €169/month · Free project assessment · Reply within 1 business day
ScrapeIt runs the collection as a managed service. You name the topics, indicators or geographies; we collect surveillance series and version guidance pages, flag suppression and definition breaks, and hand back CSV, JSON, Excel or a push into your warehouse.
We identify our agent and pace requests, and page rendering and anti-bot handling are part of the service.
This is public health information published by a federal agency and contains no patient data. It is population guidance rather than individual clinical advice, and if your product touches patient care it needs clinical governance of its own.
Guidance records carry the page title, topic, audience where stated, the guidance text with its section structure, publication and last-reviewed dates where published, and the address.
The last-reviewed date is treated as a first class field. Public health guidance changes, sometimes quickly, and a recommendation without the date it was last reviewed is a statement with no shelf life attached - which for anything downstream of clinical use is the difference between current advice and historical advice.
Surveillance records carry the indicator, geography, time period, value, unit and any confidence interval or suppression flag as published. Suppression matters: small-count data is frequently withheld for disclosure control, and a pipeline that reads a suppressed cell as zero manufactures a finding.
Provenance is recorded per row - the address and page section each number came from - so a value can always be traced back to where it was published.
Every row carries the collection timestamp.
Guidance change history is the distinctive product. Which recommendations changed, when, and how the wording moved is a question asked by public health researchers, health systems and anyone who had to act on advice that later shifted. It exists only from the point collection began, and we say that plainly rather than implying an archive.
Suppression handling is the quiet quality issue in surveillance work. Suppressed cells carry meaning - the count was below a disclosure threshold - and they must stay distinguishable from zeros and from missing data. Three different states, three different flags.
Definition change tracking matters over multi-year series. Indicator definitions and geography codes are revised, and flagging the break is what stops a methodology change being read as an epidemiological one.
Vaccination coverage and mortality statistics land on the same row structure - indicator, geography, time period, value, unit and flags - with the collection timestamp on every row.
The Centers for Disease Control and Prevention is the US federal public health agency. It publishes clinical and public guidance, disease surveillance data, vaccination coverage, mortality statistics and outbreak information.
Access has a wrinkle worth knowing before anyone writes the source off. A request with a generic browser user agent is refused; the same address with a user agent that identifies the requester is served. This is the same pattern as other US federal sources and it is a request for identification rather than a barrier.
The second thing to know is that the site carries two kinds of content. Surveillance pages publish each indicator by geography and time period, with its value, unit and any confidence interval or suppression flag.
Beside them sits the guidance content: recommendations, clinical advice and the narrative parts of the site that change as public health advice changes. That is where collection earns its place.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Briefs here split cleanly in two, and the halves need different handling.
Statistical and surveillance requests are about series: indicator, geography, time period, value and unit, collected on a schedule so each update lands as new rows beside the last. Suppression flags and confidence intervals travel with every value.
Guidance is different. It exists as web content, it changes as advice changes, and the historical versions are not published anywhere convenient. A client tracking how a recommendation evolved needs somebody to have been collecting it, and once collection starts every change becomes a record. That is the piece with real value and it is unrecoverable retrospectively.
The third consideration is suppression and comparability in the surveillance data. Counts are suppressed below thresholds, definitions change between reporting years, and geography boundaries are revised. A dataset that ignores those produces trend lines with methodology breaks presented as real movement.
The fourth is that this is a federal agency's public output, and it is public health guidance rather than clinical advice for an individual - a distinction we state rather than leave implied.
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 extraction company, not a tool you have to learn. Our team builds the pipeline, watches it as page structures and indicator definitions change, and repairs it before a guidance history develops a gap that cannot be filled.
You see a sample first, in your format, over the topics you actually track, with suppression flags and review dates populated so you can judge the handling on real indicators.
Because the site wants the requester identified. A generic browser user agent is refused; a user agent naming who is asking is served on the same address. It is the same pattern as other US federal sources and is a request, not a barrier.
Yes. The ScrapeIt CDC API returns guidance text with last-reviewed dates, indicators, geographies, values and suppression flags as JSON from an endpoint we host, refreshed on the schedule you set. The same data also comes as CSV or XLSX files or straight into your database.
From the point collection starts, yes, as a change record. Historical versions are not published anywhere convenient, so the history accumulates forward rather than being recoverable - which is exactly why starting matters more than waiting.
As their own state, distinct from zero and from missing. Small counts are withheld for disclosure control, and a pipeline that reads a suppressed cell as zero manufactures a finding that looks like data.
Yes. We collect guidance text, review dates and surveillance indicators with their values and flags, and none of it is patient data. We collect only publicly available data - everything a visitor can see on the CDC website - and we collect it legally.
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.
CDC data from €169/month. Free project assessment, reply within 1 business day.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
