We build news scrapers tailored to your project. We collect articles from media websites, Google News, Bing News, and RSS feeds, and deliver headlines, full article texts, dates, authors, and categories. A clean content stream for analytics, ML models, and digests: as a file, feed, or API.
Analytics teams, models, and products all need a news stream. What matters is getting it clean, complete, and on time.
A stream of industry news for reports, trend tracking, and competitor monitoring.
Ready-made text corpora for NLP tasks: classification, summarization, NER.
News feeds and digests inside your apps — no collection infrastructure required.
Company and market news for trading signals and risk monitoring.
Regulatory news and legislative changes in your industry.
Tracking the news agenda and story leads for your own publications.
Three engagement models to fit the task: a one-time export, recurring data delivery, or a custom solution. Pricing is based on your sources, volumes, and update frequency. You get an estimate before we start.
Collect news once: an archive of articles for a period, for research or migration.
The scraper runs on a schedule: from weekly exports to a real-time stream. Data arrives on its own.
Turnkey data as a service: API access, DaaS, or a ready-made interface, dozens of sources, and SLAs.
How much does news scraping cost? Pricing comes down to clear factors, from the number of sources to the delivery format. We send an estimate and a sample stream before work starts.
Describe your sources, topics, and required fields, and we'll come back with a cost estimate, timeline, and a sample stream within one business day.
News scraping is the automated collection of articles from news websites and aggregators. Software crawls the sources, extracts the articles, and converts them into a single consistent structure. Instead of manually skimming dozens of feeds, you get one clean data stream.
News remains the primary source of market intelligence. A scraper turns scattered pages into a table or JSON that your analysts and models can work with right away.
What the scraper returns for each article:
We scrape Google News data and take our publisher list directly from it: more than 100,000 active online media outlets, from national publications to niche industry portals.
We also collect Bing News. Microsoft's aggregator covers international outlets especially well and serves as a cross-check on stream completeness.
What this gives you:
Need a source outside the aggregators? We'll add it manually: corporate newsrooms, industry blogs, government portals. A list of outlets with editorial contacts is built by our media database: a related service.
Sources are all built differently. Some have an RSS feed, others only regular web pages, and on others the content is rendered by scripts. In news scraping, speed matters as much as completeness, so each source type gets its own collector.
The process looks like this:
We also keep the meta tags and headers on the article page: description, Open Graph, canonical links. Republished copies are merged, and every article is tagged with a link to the original source. The output contains no duplicates.
Texts and metadata are validated. If a site's layout changes, the scraper notices, and our development team updates the parsing rules. Your stream never stops.
Not every site gives up its content easily. The scraper handles the typical challenges on its own:
A common problem: an outlet changes its layout without warning. The collector spots the failure through a drop in completeness, then an engineer fixes the rules. For you the process is invisible. We crawl at a respectful rate and never flood sites with unnecessary requests.
Many outlets run a Telegram channel, and a story often appears there before it hits the website. On request, we add outlets' public Telegram channels as an extra source. Each channel post is linked to the outlet and merged with the website version of the story.
A note on scope: we do not collect user posts, comments, or brand mentions on social media. Those tasks are covered by brand mention monitoring.
For a business, a news stream is not an end in itself but a tool. It saves time and feeds decisions with information.
Typical use cases:
For legal and compliance teams, the stream covers regulatory updates. A new law passes or requirements change — under GDPR or CCPA, say — and a topical digest is already in the team's inbox. We never touch user profiles or comments: we collect editorial content only.
Every project starts with a sample stream. You review the data, check the structure and volumes, and then the work begins. If the task is unusual, we'll build a prototype. Every project gets a dedicated project manager.
News scraping covers collecting the articles. Related tasks are handled by separate services:
We have been collecting data for analytics and ML since 2015. Before we start, we'll send a free sample stream on your topic. We reply within one business day.
We have been collecting data for analytics and ML since 2015. A news stream is only valuable when it is complete, clean, and on time.
We strip ads, navigation, and boilerplate. What remains is the headline, article text, and metadata.
RSS, HTML, dynamic sites, and archives. We collect even where there are no feeds.
Republished copies are merged with a link to the original source. You see each story once.
Key sources are polled every few minutes. The stream flows in near real time.
An outlet changed its layout? We fix it ourselves. Our development team owns stream completeness.
An estimate and a sample stream before we start, a contract, and clear pricing with no hidden fees.
A transparent process: we scope the project and send a sample stream before work starts. No hidden fees, no surprises.
You send a list of sources or topics. A short description of the task is enough.
We scout Google News and Bing News data, size up volume and timeline, and send a free sample stream.
We configure scrapers, cleaning, deduplication, and the stream format.
Articles arrive as a feed, a file, or via API. We monitor completeness and quality.
The output is a structured stream of articles with no noise or duplicates, ready to load into your system.
Articles with full texts and metadata: JSON, XML, or CSV in your schema.
New articles arrive on a schedule, up to real time.
The stream flows straight into your models, dashboards, and products.
A dashboard with a news feed, topic and source filters, and export.
Clean texts, deduplication, language, sentiment, and topic classification.
We monitor stream completeness, fix scrapers, and add sources on request.
News scraping covers only part of the data workflow. We'll build and configure related services around your task.
Brand mentions in the media: sentiment and reach.
Outlets with editorial contacts for PR outreach.
Training datasets: collection and labeling.
Any data from any website, tailored to your task.
Competitor prices, products, and news under control.
Search engine results for your keywords.
If you don't see your question here, send a request: we reply within one business day.
Online media, news aggregators, industry portals, and corporate newsrooms. There are virtually no site restrictions. We also work with sources that have no RSS: dynamic sites, archives, and sections behind logins where the platform's rules allow it. Outlets' public Telegram channels can be added on request.
Projects start at $150. The final price depends on the number of sources, data volume, update frequency, and extra processing (see the factors above). We send an exact estimate and a free data sample before work starts.
Yes. We collect retrospectives from outlets' archive sections and web archives, as far back as the source's storage depth allows. Historical article archives are handy for model training and retrospective analysis.
It depends on the mode. With streaming delivery, key sources are polled every few minutes, and an article enters the stream almost as soon as it is published. We'll confirm scraper speed for your source list during the test.
We scrape Google News data and take the publisher list straight from it — more than 100,000 online media outlets across every topic. We also collect Bing News, Microsoft's news aggregator: it extends coverage of international sources and helps verify stream completeness. Sites outside the aggregators are added manually from your list.
JSON, XML, or CSV: as a file, a refreshing feed, or via API. We align the field schema with your system. We can also deliver via a web interface with a feed, filters, and export.
No. There is nothing to install. Everything runs on our side: scrapers, cleaning, storage, and delivery. We handle development and maintenance. You receive ready-to-use data in a convenient format.
Layout changes and anti-bot protection are routine scraping challenges. The collector spots a failure through a drop in completeness, and our team updates the parsing rules. For clients the process is invisible: the stream keeps flowing.
Yes. Set categories, keywords, or a list of companies, and only relevant content enters the stream. On request we add topic classification, sentiment, and entity extraction: companies, people, tickers.
Those are related services. Coverage of your company, with sentiment and reach, is tracked by media monitoring. Social media posts are caught by brand mention monitoring. News scraping delivers the full stream on a topic, without tying it to a brand.