Email and data parsing
We remove manual data collection: a script pulls the data you need from emails, websites and chats, normalises it and delivers it where your team works.
What we cover
Email parsing
Leads and data extracted from incoming mail into a sheet, CRM or chat.
Website data collection
Prices, products, contacts or listings gathered on schedule by your rules.
Normalisation
Duplicates removed, phones and addresses unified, sources tagged.
Delivery and integrations
Results pushed to Google Sheets, CRM, Telegram or email on a schedule.
Monitoring
Source changes tracked, with notifications when something moves.
How the work goes
- 01
Brief and audit
We review the product, audience, current channels and numbers: what already works and what drains the budget.
- 02
Strategy and plan
We shape the offer, map the funnel and define channels, hypotheses and target metrics.
- 03
Infrastructure
Landing pages, analytics, automation and lead handling — before the first dollar of ad spend.
- 04
Launch and testing
We start with test combinations, measure cost per lead and cut whatever does not pay back.
- 05
Scaling
We reinforce the winning combinations, expand channels and report in money, not clicks.
Frequently asked questions
Is it legal?
We work with open data and your own mailboxes, respecting each source's terms. Personal data is processed only on your instruction.
How often is data refreshed?
On schedule — from several times a day to weekly, depending on the task and source load.
What if the source changes?
Scripts are maintained: when a source's structure changes, we update the parsing rules.