Web data collection
VROF automatically collects data scattered across multiple websites and organizes it into Excel files and databases, replacing manual data entry that is repeated every day.
14 public cases · 2024–2026
Key web data collection cases.
Each case presents the situation before adoption, the result, and screens recreated with mock data.
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TV schedule analytics dashboard
TV schedules that staff compiled by hand and charted in Excel are now collected automatically and viewed on screen. The weekly rebuild that took more than 4 hours now takes under a minute.
Manual work time 4+ hours from Under 1 minute to
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Influencer performance report extension
Another vendor had started this as a Python desktop app and left it unfinished. We rebuilt it as a Chrome extension that runs in the user's own logged-in browser. All five platforms that had returned no data now collect correctly.
Platforms collecting correctly 1 of 5 from 5 of 5 to
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Search visibility checker
Checks up to twelve items on each site and reports only what changed since yesterday. Unmet required items fell from 24 to 16, and the remaining 16 are counted by the tool, not by a person.
Readable by search engines — unmet items 24 (2026-08-12) from 16 (2026-08-23) to
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Unauthorized brand seller tracker
For a public cultural foundation's copyright and trademark protection work, we automatically collected the online stores selling products under the foundation's brand name. Results are counted by seller, not by product.
Seller identification Search results checked one by one from All pages collected automatically to
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Unified online-store sales dashboard
Order data that staff downloaded store by store is now collected automatically from three platforms, totaled on one set of rules and shown on a single screen.
Checking sales 3 platforms · each store separately from One screen · collected automatically to
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Apartment listing-to-Excel collector
Opening each listing and copying the details by hand is replaced by a single run: choose the complexes you follow, press start, and listing details are collected automatically into two Excel files. It runs from one executable, with no Python installation.
Checking listings by complex Opening each listing one by one from Choose complexes, run once · results in Excel to
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Job-posting collection and publishing tool
Job postings spread across many boards are collected automatically and published to the client's own site under set categories. The screen records how many postings came from each board.
Posting aggregation Staff checked 19 boards by hand from All 318 postings found were collected to
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ELS disclosure comparison table builder
ELS and ELB product data is collected automatically from each securities firm. Product structures written as text are split into columns for maturity, observation interval, and early redemption terms, all in a single table.
Product comparison Checked firm by firm from Compared by term in one table to
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펀딩알리미 · Government funding notice alert service
Funding program notices from four separate public agencies are collected automatically, and only those matching registered keywords are sent as alerts. Built so that no deadline is discovered too late.
Funding program notices Users searched agency websites one by one from Collected automatically three times a day · alerts on keyword matches to
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Resumable data collector
Weekly records going back to 2019, more than five years of data, had to be fetched in one go. Requests sent in bursts get cut off partway and leave the day's collection half done. This collector resumes from the point of interruption and fills the entire range.
Range collected Stopped partway from Full range, 2019–2024 to
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India investment project collector
We collected every project from the government portal listing investment projects across India and compiled the scattered details into a single table with 41 fields. The tool was delivered as an executable for staff to run themselves.
Projects collected Projects looked up one at a time from 19,889 projects · 41 fields to
Common questions on this topic
- Web crawling: what is allowed? 4 criteria for collecting data legally In short: web crawling can be done legally. The key question is whether the service provider has restricted access.
- News monitoring automation: get articles that mention your company as soon as they are published In short: a system that collects keyword news and sends alerts automatically is straightforward to build. There are three options to choose from and four things to decide.
- Copying data into Excel by hand can be automated: 3 criteria to check In short: any task that follows fixed rules and repeats can be automated. Work that seems too specific usually just has rules that have not been written down yet.
VROF's standard is collection without gaps.
During collection, responses drop, screen structures change, and item names differ from site to site. Collection resumes from the point where it stopped, so partially collected results are never delivered as complete.
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Request interval control
Requests are spaced apart. After a set number of consecutive failures, collection stops so that empty data does not pile up.
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Aggregation after standardization
Item names and units that differ by site are aligned to one standard before aggregation.
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Progress logging
Collection progress is recorded, so an interrupted run continues where it left off instead of starting over.
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Ready-to-use deliverables
Results are delivered in Excel or on screen, and the tool is provided as an executable that runs without installing Python.
Collection scope and standards
We give priority to the target site's terms of use and to privacy protection. Collection items and scope are agreed with the client in advance. Information that could identify a client or individual has been masked in the case screens.
Data available only in apps is collected through our App crawling service.
Data collection services are priced in four tiers based on scope (VAT excluded). You can use them directly in internal approval documents.
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Basic
KRW 150,000
Extracts data once from a single page that requires no login and delivers it as an organized file.
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Simple
KRW 290,000
Basic, plus collection across pagination and multiple pages without login.
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Standard
KRW 490,000
Simple, plus collection from login-required pages and integration and cleansing of data from up to 2 sources.
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Recurring
KRW 990,000
Standard, plus scheduled automatic runs at set intervals and alerts when something goes wrong.
These prices are baselines by difficulty. Sites with a simple structure may be priced below the baseline. Send us the site URL and we will tell you the applicable tier within 1 business day.
Recurring setups carry an operating fee of KRW 30,000–50,000 per month (VAT excluded), covering maintenance of the automated runtime and daily run status checks.
An additional 10% discount applies when ordering 3 or more sites at once. The scope of work is specified in the contract. Changes due to site structure updates, or after the free support period ends, are billed at KRW 50,000 per hour.
Talk to VROF about web data collection.
Tell us which sites and items you need, and we will review whether they can be collected and in what format the results can be delivered.
Reply within 1 business day