Company registers, court filings, trademark databases and cadastral records - public by law, but published in formats that were never meant to be read at scale.
KYC and AML Teams
Banks and Lenders
Insurance Underwriters
Compliance and Risk Departments
Law Firms
Trademark and IP Attorneys
Credit Bureaus and Data Vendors
Due Diligence and Investigation Firms
Sales and Lead Generation Teams
Property Developers and Surveyors
Developers
Customers worldwide
Pages extracted
Hours saved for our clients
Official registers stand on different legal ground from commercial sites: the data is public by statute and meant to be consulted. The difficulty is not permission, it is format - paginated search forms, scanned PDFs and identifiers that only make sense once you join them to something else. Registry numbers are also the cleanest way to enrich a sales lead list.
Pull the current company record, legal form, address, status and officers at the moment of onboarding instead of trusting what the customer typed into a form.
Where ownership is published, collect the chain of shareholders and officers so control can be traced past the first legal entity.
Track status changes, liquidations, insolvency entries and filing history across a portfolio rather than checking companies one at a time.
Monitor new applications in the classes you care about, with owner, representative, filing and registration dates and opposition status.
Registry identifiers are the only reliable join key between your CRM and official data. We return them so records match on something better than a company name.
Collect cadastral parcel identifiers, land use and boundaries from public map services for site assessment.
Build a picture of an entire sector from activity codes and incorporation dates, including companies that have no website at all.
Fields differ by register and by country. Below is what a company and trademark record typically yields; we confirm the exact list against the source before starting.
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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Every record comes back with its registry number. Matching on a company name alone fails on branches, renames and punctuation; matching on an identifier does not.
A large part of register content is PDFs and scanned filings. We extract the fields from them rather than handing you a folder of files.
Registers are checked on a schedule and we report what changed - status, officers, address, capital - instead of re-delivering the whole record every time.
You pay for the dataset, not for proxies, browser farms and the engineering time to keep them alive.
Public services are collected slowly and predictably. These are state resources, and hammering them is both rude and the fastest way to lose access.
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.
The data in official registers is published because statute requires it to be public, which is a different starting point from a commercial site protected by its terms of use. That said, each register has its own rules on reuse and rate limits, and we check them per source before starting rather than assuming.
Because registers were built for one lookup at a time. Search forms are paginated, results are frequently PDFs or scans rather than HTML, some sources gate search behind a challenge, and identifiers are formatted differently in every country.
Yes. A meaningful share of filings exists only as PDFs or scans, so text extraction and, where necessary, recognition are part of the pipeline. We deliver parsed fields and keep a link to the source document.
Whatever the register issues - KRS, NIP and REGON for Poland, EUIPO application numbers for trademarks, cadastral parcel identifiers for land. These are the join keys that let registry data meet your own records.
It varies by source. Some publish daily bulletins, others change only when a filing is made. We set the checking schedule per register and report differences rather than the whole record each run.
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
