01
You tell us what to collect
From where, which fields, how often. We map the sources and the output format.
[/services/parsers]
We collect data that would take weeks to gather by hand. Automatically, every day.
Parsers for competitor prices, leads from open sources, reviews, product feeds and market data. AI cleans, structures and delivers it wherever you need — CRM, a sheet, a dashboard.
what it is
What it is and who it's for
A parser is a robot that goes into open sources on its own and pulls the data you need: prices, products, leads, reviews. AI on top of it cleans out the junk, structures it and delivers it to where you actually work.
Who it's for: businesses that make data-driven decisions: e-commerce (competitor prices), B2B (leads from catalogs), market and demand analytics.
how it works
How it works
02
We build the parser + AI processing
Collection, cleaning, structuring, deduplication. In your format.
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Data flows on its own
On schedule — into your CRM, Google Sheets, a database or a dashboard. No manual work.
capabilities
Typical tasks
Competitor price monitoring
E-commerce sees price changes daily and reacts first.
Lead collection
From catalogs, marketplaces and social media — straight into your database.
Reviews + AI sentiment analysis
We parse reviews and AI tells you what people praise and complain about.
Supplier product feeds
Supplier prices and stock automatically into your system.
Mention monitoring
Your brand and competitors — where they're talked about, with alerts.
in your niche
Where it makes money
- ·E-commerce: competitor prices and assortment → dynamic pricing.
- ·B2B services: automatic collection of potential clients from open catalogs.
- ·Infobusiness / media: monitoring topics, trends and mentions.
- ·Retail: supplier feeds and stock levels without manual consolidation.
Similar projects
All cases →
pricing
from $1 200–2
per parser. Complex ones with AI processing — from $4.
We lock the exact range after a free audit. Full pricing →
frequently asked
What if…
"Is this legal?"+
We only parse open data. We don't bypass paywalls, captchas or private areas. We respect the sources' ToS and the law. If a source requires consent, we work within what's allowed.
"What if the source site changes its structure?"+
Parsers break when a source is rebuilt — that's normal. That's why we provide monitoring: the moment collection breaks, you get an alert and we fix it. On a retainer we keep it running.
"In what format do I get the data?"+
However is convenient: Google Sheets, CSV, direct writes into your CRM or database, a dashboard. We agree on it up front.
"How often does it update?"+
On a schedule that fits the task: once a day, once an hour, in real time. The more frequent, the more the infrastructure costs — we calculate it for your case.
from the blog
Helpful reads on the topic
AI for business
Multilingual AI chatbot done right
How to build a multilingual chatbot where non-English replies sound native, not machine-translated. Architecture, quality control and the mistakes to avoid.
Guides
Automating content without the AI slop
How to automate content without turning your blog into generic mush: a brand-voice pipeline with human editing gates and quality control.
Technology
Designing bot-to-human escalation that keeps CSAT high
Escalation logic: handoff triggers, RAG-based confidence thresholds, and handoff UX that keeps CSAT high.
let's talk
Tell us what data to collect — we'll scope the parser.
A 30-minute call: sources, volume, output format and a price range. No strings attached.