Headlines, bylines, sections and timestamps from news sites, collected continuously and deduplicated across syndication so one wire story does not arrive as forty.
Media Monitoring Platforms
PR and Communications Agencies
Brand and Reputation Teams
Investment and Equity Research
Risk and Compliance Departments
Market Intelligence Vendors
Newsrooms and Editorial Teams
Academic Research Groups
AI and NLP Teams
Government and Policy Analysts
Developers
Customers worldwide
Pages extracted
Hours saved for our clients
The hard part of news scraping is not fetching pages, it is knowing that the same wire story just appeared on forty sites under forty bylines. Deduplication and canonical resolution are what turn a feed into a dataset. Related: market research data.
Track every mention of a brand, product or executive across outlets, with the section, byline and timestamp needed to judge how prominent the coverage was.
One agency story runs on dozens of sites. We resolve the canonical version and group the copies so coverage volume reflects reality rather than republishing.
Articles are edited silently after publication. Keeping both the published and updated timestamps, and the changed headline, makes the edit history visible.
Compare share of voice between you and competitors by outlet, section and period.
Clean, structured text with reliable metadata is the input NLP models need; raw HTML is not.
Scan continuously for negative coverage tied to counterparties, a standard part of KYC workflows.
Follow a release from the wire through to which outlets picked it up and how they rewrote it.
We collect article metadata and the publicly rendered text. Paywalled bodies are not bypassed, and we do not redistribute full articles - the dataset is built for analysis, not republication.
Expertly customized web scraping services at a fraction of the cost of building and running collection in-house.
€199 / one-time
setup fee - included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
Monitoring of real estate listings on funda.nl, pararius.com, rentberry.com, rentola.com, and zimmo.be to support the growth of a European property portal.
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Daily detection of new private property listings in Switzerland on Homegate.ch and ImmoScout24.ch, giving the agency first access to high-value leads.
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Daily monitoring of car listings on car.gr and autoscout24.com, collecting full technical specifications to support a European auto dealer.
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Scraping residential listings from Immobilienscout24.de in Germany and Mallorca, including complete data and resized images.
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Scraping supplement products from iHerb.com with full details, including descriptions and packaging variations.
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Weekly scraping of new real estate listings from PropertyGuru.com.my with full property and agent details.
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Canonical resolution and near-duplicate detection run before delivery, so a wire story arrives once with its republication list attached.
Feeds carry a fraction of what an outlet publishes. We collect section fronts and sitemaps as well, which is where the rest lives.
Published and updated are stored separately. Without that pair you cannot tell a scoop from a silent rewrite.
You pay for the dataset, not for proxies, browser farms and the engineering time to keep them alive.
We collect what a site renders publicly and flag the rest. That keeps the dataset usable in a commercial product.
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.
No. We collect what the outlet renders publicly - headline, summary, byline, timestamps and whatever body text is shown before the wall - and mark the article as paywalled. Circumventing a paywall is neither legal nor something we do.
No, and the dataset is not built for it. News text is copyrighted. What you get is metadata plus publicly visible text for analysis: monitoring, measurement, sentiment, model training where your licence allows it.
We resolve the canonical URL and run near-duplicate detection over the text, then group copies under one syndication identifier. Without that step a single agency story inflates your coverage count many times over.
Rarely. Most outlets put a fraction of their output in feeds, often only the top sections and only for a short window. We collect section fronts and news sitemaps alongside feeds to get the full picture.
For monitoring work we normally poll high-value outlets every few minutes and the long tail hourly. The cadence is set per source rather than applied uniformly.
CSV, Excel, JSON, JSONLines or XML, delivered over FTP, SFTP, Amazon S3, Google Cloud Storage, Dropbox, Google Drive or email. We can also write directly into your database.
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.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
