Build a structured dataset of company information - official registry data, size, industry, and public firmographics - for research, lead qualification or due diligence. What's possible and the rules.
Structured company data - who a business is, its size, industry, and public firmographics - powers lead qualification, market research, and due diligence. Scraping can assemble this from official registries and public business sources into one clean dataset, instead of looking each company up by hand.
What you can collect
- Official registry data - registration, status, official details (public record).
- Firmographics - industry, size, location.
- Public business profiles for enrichment and scoring.
The rules
Company-level, factual data from official public registries is the lower-risk end of scraping. But the moment records include individuals (directors, owners), you are in personal-data territory under Israel's Protection of Privacy Law - minimize and have a basis. Prefer an official web scraping vs API or open-data export where the registry offers one. See is web scraping legal in Israel.
What it costs
A one-off dataset is fixed-price; keeping it current is a recurring service - see how much web scraping costs. Tell me what company fields you need and for which market and I will scope it. New here? See what web scraping is.
Frequently asked questions
Can I collect company data by scraping?
Yes - official registry data, firmographics and public business profiles can be assembled into one structured dataset for research, lead qualification or due diligence.
Is scraping a company registry legal?
Company-level, factual data from official public registries is lower-risk. When records include individuals (directors, owners) it becomes personal data under Israel's Protection of Privacy Law - minimize and have a basis. Prefer an official export/API. See the legal guide.
What is it used for?
Lead qualification, market and competitor research, and due diligence - anywhere you need structured, comparable company information at scale.
One-off or ongoing?
Both: a one-off dataset is fixed-price, while keeping it current as records change is a recurring service.
Keep reading
Related service
Web Scraping
Reliable web scraping and data pipelines that deliver clean data.
About the author
Yehonatan Saadia
Freelance automation, web & MVP engineer
I'm Yehonatan Saadia, a senior engineer who builds business automation, custom websites, and MVPs for small and mid-sized companies across the US, Europe, and Israel. These guides come from real client work, not theory.
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