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Statista Scraper for Statistic Pages and Cited Sources
A Statista statistic page shows its region, survey period and last update even when the chart is for paying accounts. Our Statista scraper turns that layer into rows.
Plans from €169 a month · Free project assessment · Reply within 1 business day
CSV · Excel · JSON · XML · FTP · SFTP · Amazon S3 · Google Cloud
statista.comwhat you get
Typical fields for financial sites
tickerpricechange_pctvolumemarket_capupdated_at
Delivery
API, JSON feed or CSV, XLSX and JSON files
ScheduleOne-time, monthly, weekly, daily or 3 times a day
A Managed Way to Scrape Statista
- You send
Statista pages, filters, fields and a schedule
- We run the scrapers
Built, monitored and repaired by our team
- You receive the data
API, JSON feed or CSV, XLSX and JSON files
Most Statista projects start from a list: a set of topic pages, an industry in the breadcrumb, a keyword, or a spreadsheet of statistic URLs your analysts already cite. We turn it into a crawl plan, build the crawler, run it once or on a schedule and keep it running when Statista changes its templates. Pages are rendered the way a browser shows them, and pacing, proxy rotation and CAPTCHA handling are part of the job, not something you arrange. Every statistic comes back as one row of metadata and, for Basic statistics, a second table of the values the chart shows, linked by the statistic id. The free assessment tells you up front how many of your target statistics are Basic and how many are Premium.
Statista Data We Extract From Each Statistic
Every statistic page has a permanent address: /statistics/, a numeric id, then a slug. Titles are rewritten for each new edition and the slug often keeps the wording of an older one, so the statistic id, not the slug, is the row key. Fields we collect from public statistic pages:
- Identitystatistic id, URL, the full title with its unit in brackets, the short subtitle, and the breadcrumb from industry to subcategory.
- Access labelwhether the page carries the Premium label or is a Basic statistic with its chart open to any visitor.
- CoverageLast update, one or several regions, and the survey time period, which can be a month, one year or a range of years.
- Sourcethe Source link under the chart, naming the publication or site the figures come from, with the survey period and, where the page gives them, the age group, the number of respondents and the region. The text itself is credited to the Statista Research Department.
- Descriptionthe explanatory text under the chart with the figures it quotes. On Premium pages those figures are masked with asterisks; we keep the text and leave the masked values empty instead of guessing them.
- Chart valuesfor Basic statistics, each category or year with its value and unit, as the chart and its table view show them.
- Related insightsthe statistics listed under the chart, with titles and ids, so a record can be followed to its neighbours.
The output is a catalogue table with one row per statistic and a values table with one row per data point, both carrying the date of the run.
Statista Datasets Beyond a Single Statistic
One statistic is rarely the job. Useful Statista datasets come from walking the structure around it.
- Topic pagesEach topic, Brand value for example, has a statistics and facts page with Editor's Picks, Current statistics on this topic and a long list of Further recommended statistics, each labelled Basic Statistic or Premium Statistic. Crawling topics yields a catalogue with access labels before a single statistic is opened.
- Industry branchesThe breadcrumb places every statistic under an industry and a subcategory, such as Internet, then Demographics & Use, so a whole branch can be covered and counted.
- New editionsRankings and market figures are re-issued under the same id. Scheduled runs record when Last update changes and what the new values are, turning a yearly ranking into a time series.
- Primary sourcesWhere a statistic names a third-party publisher - a statistics office, a trade body, an annual report - we can collect that primary source directly, at its own level of detail, and link it back to the Statista id.
- German sitede.statista.com runs beside the English site with German titles and texts and can be collected as a separate catalogue.
About Statista and How It Is Organised
- Source
- statista.com
- Category
- financial sites
- Delivery
- API, JSON feed, CSV, XLSX
- Plans
- From €169 a month
Statista is a statistics portal established in Germany in 2007. It gathers figures from market research firms, trade bodies, statistics offices, company reports and its own surveys, and republishes each one as a statistic page with a chart, a short explanatory text and the details of where the number came from. Statista keeps the source, the publisher and whoever conducted a survey apart, and under each chart a Source link names the publication behind the figures.
Content is arranged by industry, from Economy & Politics to Internet or Advertising & Marketing, then by subcategory such as Brands & Leaders, with topic pages gathering the statistics of one subject. Each statistic page also carries an Ask AI button and a Related insights list of neighbouring statistics and articles.
Access is split in two. Basic Statistics show their chart and values without an account; Premium Statistics need a paid plan, and on those pages the chart is blurred, its values are withheld and the figures in the text turn into asterisks. The shell - title, region, survey period, last update, Source link, description, related insights - stays visible either way. A Statista scraper therefore delivers the catalogue layer for any statistic and the values for Basic ones, and nothing that needs a paid account.
25Developers
500+Customers
1.5BPages extracted
15,000+Hours saved for our clients
Statista scraping plans and pricing
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan detailsWhat Teams Do With Statista Records
Many reports, decks and articles take their numbers from Statista, so its catalogue is a map of which figures exist, how recent they are and who produced them.
- Source discoveryThe Source link on each statistic names the publication or site behind the figures. Collected across a topic, those sources tell a research team which primary sources to monitor at first hand.
- Freshness auditsLast update and survey time period, read across every statistic a team cites, show which figures are stale and which were renewed for the latest edition.
- Coverage mappingCounting statistics per industry, region and access label shows where public figures are thin and where only Premium statistics exist.
- Values for dashboardsBasic statistic values, collected with unit and survey period, feed internal dashboards and market-sizing models without anyone retyping a chart.
- Content researchTitles, subtitles and descriptions show how a subject is framed and which statistics sit together under one topic.
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About ScrapeIt
ScrapeIt is a team that builds and operates web crawlers for clients and hands over the results as datasets. For statistics portals like Statista we work at catalogue level - ids, sources, update dates - and add values only where the page shows them to every visitor. Each delivery comes with field documentation, as XLSX, CSV or JSONLines files, through our API, or to Google Cloud Storage or Amazon S3. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
FAQ
Still unsure? Write to info@scrapeit.io
Do you offer a Statista API for statistic metadata?
Yes. The ScrapeIt Statista API returns statistic id, title, region, survey time period, last update, source and, for Basic statistics, the chart values, as JSON from an endpoint we host, on the refresh schedule you set. The same records come as CSV files, a JSON feed or a load into your database. An MCP server is available on request.
Is it legal to scrape Statista?
Yes. Statistic titles, regions, survey periods, update dates and descriptions are shown to every visitor, and Basic statistics show their values as well. We collect only publicly available data - everything a visitor can see on Statista without a paid account - and we collect it legally. Premium values are not part of the delivery.
How does Statista collect data, and can you collect its sources?
Statista compiles figures from outside publishers - market researchers, associations, statistics offices, companies - and from its own research and surveys, and names the source on each statistic. Where that source is a third-party publication, we can scrape it directly and deliver it next to the Statista record, often in more detail than the chart.
Can you build a Statista database for one industry or topic?
Yes. We start from the topic pages or the industry branch you name, list every statistic with its Basic or Premium label, then collect metadata for all of them and values for the Basic ones. You receive a catalogue table keyed on the statistic id and a values table with one row per data point.
How often do Statista statistics change?
Rankings such as the brand value lists are re-issued under the same id with each new edition, and the Last update field says when a page last changed. A monthly run usually catches new editions; a weekly run suits a team following a fast-moving topic.
How it works
- 1
Make a request
You share your needs, expectations, and desired timeframe. We'll suggest the best solution based on your request and budget.
- 2
We configure the crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
- 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.
- 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.
Request a quote
Tell us which sites, which fields and how often. A couple of lines is enough to start.
- We reply within 1 business day
- A sample dataset before the full run
- We sign an NDA on request
- Delivery by API, JSON feed or files