Deutsche Welle publishes 31 language editions written by separate desks, and it rewrites headlines after publication. We collect every edition and keep every version of the story.
We scrape Deutsche Welle as a managed service. Discovery runs on the cheap surfaces - Deutsche Welle RSS feeds, the news sitemap and each edition's headlines page - and the fields come from the story pages, which carry the full record. Backfill walks the topic pages. Rows are deduplicated on the numeric ID, feed links lose their maca tracking parameter, and every headline version is stored with its timestamp. You get CSV, JSON, XLSX or an endpoint we host: a Deutsche Welle API of your own, with field names agreed up front. Anti-bot handling, proxy rotation and CAPTCHA solving are part of the service; paths the robots file closes, such as search and the site's graph endpoint, stay closed, and nothing needs a login. The price of a Deutsche Welle feed depends on editions, cadence and backfill depth.
One DW story is several records in one, and to extract Deutsche Welle data cleanly the export keeps them apart. These are the fields we collect for each article:
Deutsche Welle live blogs add a list of posts, each with its own ID, title, timestamp and text. Stories from the 2000s carry a free-text credit line instead of a structured byline, no category or country code and a single date; those fields stay empty rather than guessed.
The same ID system covers DW's media, and each type brings fields of its own.
A Deutsche Welle scraper has to start from what DW is: Germany's international broadcaster, a public broadcaster funded by federal taxes under the Deutsche Welle Act, on air since 1953 and based in Bonn and Berlin. It writes for audiences outside Germany, so dw.com is not a German site with an English corner. It is 31 language editions, written by separate language desks, each under its own path code. /en/, /de/, /es/, /ru/, /uk/ and /ar/ explain themselves, while /sw/ is Kiswahili, /ha/ Hausa, /am/ Amharic, /fa-ir/ Persian, /fa-af/ Dari, /ps/ Pashto, and /pt-br/ and /pt-002/ split Portuguese between Brazil and Africa. There is no paywall and no subscriber tier, so every story renders in full.
Every address ends in a numeric ID with a type prefix: a- for articles, live- for live blogs, video-, audio-, g- for galleries, t- for topic pages, s- for sections and program- for shows. The slug in front of the ID is decoration, since an address with the ID alone lands on the story, but the language path is part of the key: an English ID under /de/ leads nowhere. IDs are unique across the editions with one exception. /zh-hant/ is the Traditional Chinese twin of /zh/ and reuses its IDs, so Chinese stories are deduplicated, not counted twice.
Each edition also has a headlines page with its last seven days of output, an A to Z topic index and a sitemap set of its own, and most editions publish RSS feeds. Together they turn the site into a Deutsche Welle database keyed on one number.
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Deutsche Welle data scraping pays off because DW is Germany talking to the world, and each desk decides what its own audience hears: one broadcaster, one legal mandate, some thirty agendas. The German edition is far from the largest. Over the three months to late September 2026 the article sitemaps listed about 2,950 articles and live blogs in Spanish, 2,770 in Russian, 2,230 in Ukrainian, 1,880 in English and 1,040 in German.
Nothing is cut short by a paywall, so word counts and models compare fairly across editions.
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 web scraping agency: we build, run and repair the collectors, and you receive the data. A Deutsche Welle project usually opens with a sample - one week of three editions you choose, with headline versions, category IDs and bylines - so you can test the schema against your use before a schedule is agreed. Files land in S3, GCS, SFTP, a webhook or your warehouse, and we keep the pipeline working as DW changes its pages.
Not a public one. DW does not publish a developer API: there is no documentation, key sign-up or developer terms. The website loads its data from an internal graph endpoint that the robots file closes to crawlers, and the JSON interface behind the DW apps is undocumented. What DW does publish for machines is RSS and Atom feeds for most editions and their main sections, podcast feeds with MP3 files, and news, video and topic sitemaps. Its partner channels are about rebroadcasting, not data: AudioDepot gives radio stations free MP3 programmes, DW Transtel sells TV programmes, and reuse beyond the free-use rules goes through a licence request.
Well beyond the sitemaps, which cover about three months. Topic pages go back fifty stories per page through each topic's full history, and the English Bundesliga topic reaches November 2001. Site search is closed to crawlers, so a backfill is built from topic pages, the A to Z index and the links between stories, and addresses built on the numeric ID stay stable. Older records are thinner: stories from the 2000s carry a free-text credit instead of a structured byline, no category or country code and a single date, and we deliver those fields empty rather than inferred.
No, but it is the cheapest trigger. DW publishes its feeds in RDF, RSS 2.0 and Atom; the English list runs from all stories and top stories to Germany, World, Europe, Business, Sports and more. An item carries the ID, headline, teaser, category and a date rounded to the minute that follows the last republish. There is no byline, no tags and no body text, and the all-stories feed is a selection: in September 2026 it carried roughly one English article in five. We use the feeds to spot new IDs and take the fields from the story pages.
Both, as metadata and links. For video we collect title, teaser, duration, programme, dates, thumbnail and stream address, and note whether subtitles exist; for audio the episode, host, programme, duration and MP3 link, plus the podcast feeds. We do not download or re-host the media: these are DW's copyrighted broadcasts, and the subtitle files sit on a path closed to crawlers. If you need the footage itself, DW Transtel and AudioDepot are the licensed routes, and we say so at scoping.
DW's own rules draw the line. Its free-use page allows text and data mining for academic or research purposes when the use is non-commercial, only the necessary data is copied and nothing is republished or altered. The robots file adds a notice that automated collection needs DW's prior written permission, and commercial reuse goes through DW's licensing request form. We work only on public pages, keep to the paths the robots file leaves open and pace requests. Whether your use fits the free-use rules or needs a licence is a question for your counsel before the project starts.
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.
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