Login AI
Custom Data Collection and Monitoring
We collect information from open sources: websites, marketplaces, social media, and press. We set up regular monitoring with reports and alerts so you always know what's happening in the market.
Parsing, price, competitor, and mention monitoring – the right data at the right time.
Pricing
from ₽90,000
per month
This is the lower bound of a project. We scope the exact quote after a brief: it depends on volume and the number of integrations.
Capabilities
Data parsing
Collecting data from websites and marketplaces by custom rules: catalogs, prices, specs, reviews.
Competitor monitoring
We track competitors' prices, promotions, assortment, and content – changes are captured automatically.
Media & social monitoring
Brand and topic mentions in news, Telegram, VK, and reviews – with sentiment and sources.
Reports and alerts
Regular digests, alerts on important changes, and data export to Excel, API, or your CRM.
From request to result
1
Define the task
We fix which data you need: sources, fields, frequency, and delivery format.
2
Build the parser
We set up collection for volume, layout changes, and source limits. We build for your stack or deploy a ready one.
3
Test and validation
We compare collected data against a control sample. We make sure no numbers are lost or duplicated.
4
Production monitoring
We run on schedule, add alerts and reports. We update collection when sources change layout.
Check if it fits you
Good fit
Market prices and assortment
You need to know competitors' prices today, not in a month. Regular parsing gives fresh data and saves manual work.
Mentions and reputation
Your brand is discussed across platforms and press. Sentiment monitoring shows where to reply.
Not a fit
A one-off data pull
For a single export of a hundred rows, manual work is cheaper than engineering. We estimate which makes sense.
Closed or unstable sources
If data is behind a login or the structure changes daily, collection gets expensive and needs support.
What you get
−80%
time spent on manual price checks
A parser collected competitor prices and availability into a daily report. Managers stopped double-checking by hand and reacted to the market faster.
Monday morning
A report on schedule
A report in Excel or Google Sheets is built on schedule: you open fresh numbers on Monday morning and save two hours of manual walking.
The same day
Alerts on events
Alerts fire on events: a competitor price dropped, a product ran out, a new competitor appeared. A notification arrives at the moment of change.
Straight to systems
Loading into CRM
Data enters working processes over an API without intermediate spreadsheets. A format error is caught on a test volume.
Only what matters
A digest for colleagues
A summary for colleagues without system access is built separately from raw data. The digest shows only what is needed for a decision.
Three months and up
Price history
We keep history for three months and longer so a trend is visible. Seasonal swings stop looking like a sudden drop.
Both options
A one-off export
If you need data once, we estimate both options: manual collection versus parsing. For an export of a hundred rows, manual work is often cheaper.
How the system is built
We verify a control sample by hand
We verify a control sample by hand at the start: fifty catalog and report records. If a number in the parser differs from the source, we find the cause before decisions about pricing are made on that data.
Collection records the date and time
Collection records the date and time of every export. When a price changes, you see the moment of change and the full history, and that separates monitoring from a simple page screenshot.
We fix the data schema
We fix the data schema: SKU, manufacturer, price, availability, rating. Fields a supplier page omits are marked separately, so an empty cell reads as missing data.
A source failure is surfaced
A source failure is surfaced. If a site returns an error, an alert reaches you within an hour, and Friday's report carries a clear failure note.
We track layout versions automatically
We track layout versions automatically. When a store redesigns its catalog page, collection updates within a day, and the price history survives an outdated selector.
We clarify the legal side before starting
We clarify the legal side before starting: which sources may be used and under what terms. That closes the risk of an abrupt letter asking you to stop collecting.
Cost calculator
This is an indicative range, not a quote. We scope the exact estimate after a brief: it depends on volume and the number of integrations.
Sources
Languages
Alerts
Reporting
Add-ons
Support
Year one: updates and monitoring, a reply within 2 business days.
Service
Custom Data Collection and Monitoring
The estimate covers our team's work. Hardware, third-party service licences and travel are added on request.
Estimated cost
₽1.28M
Timeline
3 wk
Frequently asked questions
Is parsing legal?
We collect only open data and respect source terms. For closed data we discuss alternatives and verify the legal side before starting.
Which sources are supported?
Websites, marketplaces, social media, press, Telegram, and open APIs. Any source with readable HTML or an API can be parsed.
How often is data updated?
From once an hour to once a day per your spec. We fix the schedule and volumes so collection keeps up with source changes.
What do we get at first launch?
A working collection, a control check of the data, and configured reports or alerts. Then we support and extend it.
What teams add to this service
Part of Solutions
Implementation Examples
×4.5
Stream data processing speed
Ready to discuss your task?
Leave a request – we'll get back with a proposal and a preliminary estimate.
Contact us