Much of Axios is written for the inbox rather than the browser. Crawling the website would miss a large part of what it publishes, even where crawling was allowed.
Plans from €169/month · Free project assessment · Reply within 1 business day
ScrapeIt runs the work as a managed service. You name the sections, newsletters or subjects; we build the collection, record the channel on every row, and hand back CSV, JSON, Excel or a push into your warehouse.
Where the brief is Axios's influence, we add citation analysis from other outlets in the same pipeline.
Handling anti-bot protection - pacing, proxy rotation and rendering - is part of the service. We collect only publicly available data - everything a visitor can see on Axios - and we collect it legally.
Article and newsletter records carry the headline, byline, section or newsletter name, publication timestamp and item identifier.
Channel is recorded - newsletter or web - because the same reporting can appear in both, and a client measuring output needs to know which channel carried it.
Citation records show where other outlets cite or follow Axios reporting, collected from those outlets' public pages.
Every row carries the collection timestamp and its source type.
Citation and follow-up analysis shows which Axios scoops other outlets picked up, and how quickly, collected from those outlets' public pages.
Channel-aware collection records whether an item appeared by newsletter, on the web or both, so output measurement reflects how the publication actually reaches readers.
Local coverage measurement shows which local markets the publication covers and how its local newsletters relate to national reporting.
Limits: we never log in and never go behind a paywall, so the subscription products for specialist audiences stay out of scope.
Axios is an American news company built around short-form reporting and newsletters, covering politics, business, technology and local news, with subscription products for specialist audiences.
Its format shapes any data project. A large share of its journalism is written for and delivered by email newsletters, national and local, with the website as one channel among several. A dataset built only from the site would describe part of the publication.
On the site itself, article pages carry the headline, byline, section, publication timestamp and item identifier.
Alongside the journalism sits measurement of Axios's influence from other outlets - a question that often matters more to communications and policy teams than the text itself.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →One fact makes the website alone the wrong frame for this publisher: its format.
A newsletter-first publisher distributes much of its journalism by email, including local editions that exist mainly in the inbox. A crawl of the website alone would produce a partial and misleading picture of what the publication actually says, because a large part of it never needed a web page to reach its readers.
So the useful work spans channels. Collection records whether each item appeared by newsletter, on the web or both. Citation analysis measures Axios's agenda-setting role - which stories other newsrooms followed, and how fast - from the public pages of those newsrooms. For many clients that second question is the one they actually wanted answered.
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 channel-aware pipelines, keeps provenance on every row, and repairs collection when formats change.
You see a sample first, in your format, over the sections and newsletters you actually follow, so you can judge the value on real rows before the full run.
Yes. We collect headlines, bylines, sections or newsletter names, publication timestamps and item identifiers, with the channel recorded on every row. Anti-bot handling is part of the service, and where the brief is influence we add citation analysis from other outlets.
Because much of the journalism is delivered by email, including local editions that live mainly in the inbox. A crawl of the website alone would show only part of what the publication says.
Yes. The ScrapeIt Axios API returns headline, byline, section or newsletter name, publication timestamp, item identifier and channel 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.
Yes - agenda-setting: which Axios stories other newsrooms followed and how quickly, collected from those newsrooms' public pages. For communications and policy teams that is often more useful than the text itself.
Because the same reporting can appear in a newsletter, on the web, or both. Output measurement that ignores the channel misrepresents how the publication actually reaches its readers.
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.
Axios data from €169/month. Free project assessment, reply within 1 business day.
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