Web scraping and data extraction, built to feed the work that follows
Short answer: Data extraction and scraping pulls the information you need out of websites, portals, documents, and PDFs, then structures it into clean fields you can actually use. At Code2b we build the pipeline that does this on a schedule, de-duplicates the records, and hands them straight to the system that acts on them, like your CRM or outreach. Most builds go live in 2 to 4 weeks.
The data you need is usually sitting in a hundred places no spreadsheet can reach. We are the team that builds the pipeline to go get it, clean it, and put it to work.
How it works for your business
Most extraction work starts as a person opening tabs. Someone visits a site, copies a few fields, checks a portal, opens a PDF, retypes the numbers into a sheet, and repeats. It is slow, it is error-prone, and it does not scale past a few dozen records before it eats a whole afternoon.
We replace that with a pipeline. You tell us what data matters and where it lives, and we build a system that goes to each source, reads it the way a person would, and returns clean structured fields every time. The messy reality of the web, inconsistent layouts, missing values, the same company spelled three ways, gets handled in the pipeline instead of in your head.
You stay in control of what happens next. Extraction is rarely the goal on its own. The point is to feed something: an outreach list, a CRM, a pricing model, a compliance check. We wire the structured output directly into that system, with a person approving what matters before anything is sent or acted on.
From any source
Public websites and directories, login-protected portals, document repositories, and PDFs. If a human can open it and read it, we can usually build a pipeline to extract it, including layouts that change from page to page.
Into clean, structured data
Raw scraped HTML or PDF text is noise. We parse it into the exact fields you need, normalize formats, de-duplicate records, and flag anything that looks off so a person can review the edge cases instead of every row.
Where it fits in your stack
The extracted data is only useful where it lands. We feed structured records into the tools you already run: your CRM, your spreadsheets and databases, your outreach platform, or a custom system we build alongside it. The pipeline can run once or on a schedule, so the data stays current without anyone re-running it by hand.
Built on tools made for this. We use Playwright to drive real browsers through sites and portals, n8n to orchestrate the steps, the Claude API to parse and structure messy text, and our own enrichabl platform for lead enrichment and de-duplication. When data residency matters, the whole pipeline can run self-hosted inside your own infrastructure.
How we build it, and what it costs
Start with a free audit. We look at the sources you need, the fields that matter, and where the data has to go. You leave with a fixed scope and a fixed fee, so there are no surprises once we start building.
Most builds go live in 2 to 4 weeks, simple ones in about one. We build the pipeline, run it against your real sources, and tune the parsing until the structured output is clean and reliable. You see it working on your own data before it goes live.
Productized extraction workflows start from EUR 1,999. Deeper custom builds, with many sources, login flows, or tight integration into your systems, are quoted after your free audit so you get a real price before you commit. You can see a full extraction pipeline we built in public in our hotel outreach case study.
The extraction engine behind our hotel outreach automation
This is the data half of a live system we built in public: it finds hotels, reads everything about each one, and turns it into clean records ready to act on.
Runs across hundreds of properties without a person opening a single tab
Works with
Discover the sources
The pipeline builds a list of target properties and the websites, portals, and pages where their details live.
Scrape each property
Playwright drives a real browser through every site, portal, and PDF, pulling the raw content the way a person would.
Parse into clean fields
The Claude API turns messy, inconsistent page content into structured fields like name, location, contact, and property details.
Enrich and de-duplicate
enrichabl fills gaps, normalizes formats, and removes duplicate records so each property appears once, complete.
Hand off to the system that acts
The clean, structured records flow straight into the outreach and CRM layer that personalizes and sends each message.
Frequently asked questions
The pipeline parses and structures data automatically, but it is human-in-the-loop by design. We normalize and de-duplicate every record and flag anything ambiguous, so a person reviews the edge cases and approves what matters before the data is acted on, instead of trusting every row blindly.
Yes. Code2b is SOC 2 certified and GDPR compliant, with encryption at rest and in transit, role-based access, and audit logging. When data residency matters, we run the entire extraction pipeline self-hosted inside your own infrastructure so nothing leaves your servers.
Most builds go live in 2 to 4 weeks, and a simple single-source pipeline can be ready in about one. You see it running against your real sources before it goes live, with a fixed scope and fixed fee agreed up front.
That is the whole point. We extract from public sites, login-protected portals, document stores, and PDFs, then feed the structured records straight into your CRM, spreadsheets, database, or outreach platform. If a human can open a source, we can usually build a pipeline to read it.
Tell us what data you need, and where it hides
Book a free audit. We map the sources, the fields that matter, and where the data has to land, then give you a fixed scope, a fixed fee, and a real timeline before you commit to anything.
Book a free strategy callEvery extraction engagement is architected personally by Aleksandar Janca, founder of Code2b.
Fixed scope and go-live date agreed up front. No surprise costs.