Data & lead acquisition

The problem we usually walk into

The data a sales team needs is real, but it’s scattered. Some of it sits behind a login on a vendor portal. Some is in a public directory that renders entirely client-side. Some is in three spreadsheets that disagree with each other. And the CRM is full of the same company entered four times under slightly different names. Nobody trusts the numbers, so people re-key by hand, and the pipeline rots a little more every week.

This service is the plumbing that fixes that: retrieve the data from wherever it lives, structure it, dedupe it, enrich it, and wire capture straight into your systems so a human never re-types a record.

How we retrieve

Most “scraping” guides assume a static HTML page. In practice the pages worth pulling from are JavaScript apps — the listing only exists after the client-side code runs and the XHR calls come back. We drive a real browser for those with Playwright: it executes the page the way a user’s browser does, waits on the network, and reads the DOM after render. That handles single-page apps, infinite-scroll lists, and the login-gated portals where the data you’ve licensed actually lives.

For sources that expose a real API, we skip the browser entirely and hit the endpoint — it’s faster, cheaper, and less brittle. The decision of which path a given source takes is made per source and written down, not left to chance.

One thing worth knowing if SEO and AI visibility matter to you: the crawlers behind AI answers mostly don’t run JavaScript. An analysis of over 500 million GPTBot requests found AI retrieval crawlers fetch the raw HTML and skip client-side rendering. If your own content only appears after JS runs, those crawlers see an empty shell. Same problem we solve when retrieving — just pointed the other way.

Where the data lands

Everything goes into Postgres. We run on Neon — serverless Postgres that branches like Git, so we can stand up an isolated copy of the schema to test a migration or a new source against, then throw it away. Retrieval and enrichment run as scheduled jobs with monitoring on them; when a source changes its markup or an API starts returning errors, the job fails loudly and we hear about it, instead of silently writing garbage for a week.

Deduplication happens before anything reaches your CRM. Companies get matched on normalized name, domain, and identifiers rather than exact string equality, so “Acme, Inc.” and “ACME Inc” collapse into one record instead of two. Same for contacts. The cleaning rules live in code and get re-applied on every run, so the database doesn’t drift back into a mess after the first pass.

Lead sourcing, honestly

We source leads from public and licensed data and we respect platform terms. That’s not a disclaimer — it’s an engineering constraint that shapes the build. Sources that prohibit automated collection don’t go in the pipeline. We’d rather hand you a smaller list you can use without risk to your domain or brand than a bigger one that gets an account banned or violates a contract. If a source you want is off-limits, we’ll tell you why and find a compliant alternative.

What you get

• Data-source retrieval and structured extraction, API-first where possible and browser-driven where necessary
• Lead-sourcing and enrichment pipelines that re-run on a schedule and don’t quietly rot
• Deduplication and cleaning applied on every run, not just once
• Capture wired straight into your CRM, no manual re-entry
• Monitored sync jobs that fail loudly when a source changes