Data is one of the most valuable assets in marketing, sales and operations. The problem is not a lack of data, but the fact that it is scattered across dozens of sources and is difficult to collect, verify and use.
With our Data Scraping & Data Intelligence service, we extract data from public sources (and permitted sources per T&C), structure it and deliver it in the format you need: Excel / Google Sheets / CSV / JSON / API / Dashboard.
Additionally, we provide analysis, conclusions and recommendations, so you don’t just receive “a file with data”, but a real tool for decisions and growth.
extracting products, prices, stock, promotions, ratings
competitor monitoring (prices, offers, new products)
price comparison tools, SKU analysis, trends
company lists (name, website, email, phone, industry)
data from Google Maps (business listings)
data from directories, platforms, marketplaces, public pages
collecting public reviews and feedback
competitor content analysis (landing pages, offers, structures)
monitoring mentions, categories, communication patterns
databases of listings, companies, positions, requirements
salary analysis, job market trends
01
We establish what you want to achieve (leads, competitor monitoring, pricing, research), select the sources and define the final fields: what columns, what rules, what validations. We agree on the delivery format (Excel/Sheets/CSV/API) and frequency (one-time or periodic).
02
We develop the scraping solution and collect data in a controlled manner. We apply cleaning, deduplication and structuring. We respect stability (rate limiting), verify integrity and run sample tests before full execution.
03
We deliver the data in the agreed format and include relevant analyses: conclusions, trends, opportunities and recommendations. If periodic scraping is needed, we configure updates and the monitoring mechanism so that the data is always up to date.
Depending on the objective, we can collect data from:
online stores / marketplaces
Google Maps / business listings
competitor websites (public data)
directories, catalogs, public platforms
web pages, categories, listings, ads
public documents, pricing pages, product pages
Raw data is rarely usable. We deliver ready-to-use data:
cleaning (incomplete values, errors, different formats)
deduplication (removing duplicates)
normalization (consistent formats for names, prices, phone numbers, etc.)
field structuring: categories, filters, tags, locations
validations (e.g.: email/phone format verification, price ranges)
Beyond the data, we also offer:
metrics (averages, distributions, trends, top categories)
comparisons (competitor prices, differences by region/category)
pattern detection (promo prices, outliers, missing products, anomalies)
strategic recommendations (pricing, stock, positioning, opportunities)
You can receive the data:
Excel / Google Sheets (most popular)
CSV / JSON for system import
API endpoint (if you want automatic integration)
integration into CRM / BI / dashboard (as needed)
One-time: for research, audits, lead lists, competitor comparisons
Periodic: daily / weekly / monthly — with automated updates configured
notifications on important changes (prices, products, stock, review spikes)
| Aspect | DIY / simple solutions | Data Scraping & Intelligence with Revenco Agency |
|---|---|---|
| Quality & accuracy | Manual collection or simple tools frequently produce incomplete, duplicate and inconsistent data (prices in different formats, non-standard phone numbers, missing fields). Validation and cleaning are done manually, take time, and errors are hard to spot — leading to wrong conclusions and poor decisions. | We deliver clean, standardised data: cleaning, deduplication, normalisation (prices, names, locations), validations and structuring into clear columns. You get a “ready to use” dataset for analysis, import into CRM/ERP or reporting, with minimal risk of errors and misinterpretations. |
| Scale & volume | As volume grows (thousands of pages, hundreds of filters), the process becomes slow and unstable. Free tools break down and manual collection becomes impossible to maintain. Any minor change in a site’s structure can break the process and force you to restart collection from scratch. | We build a scalable system capable of collecting large volumes in a controlled way, with clear rules and integrity checks. The solution can adapt to structural changes and run repeatedly without relying on copy-paste or fragile exports. |
| Periodic updates | Usually you do a one-time export. When you need an update, you have to repeat the process manually. Data quickly becomes outdated (prices, stock, listings, reviews) and your business ends up working with old information, missing opportunities and reacting too slowly to the market. | We can set up periodic scraping: daily, weekly or monthly, with automatic updates to Google Sheets/Excel/CSV or delivery in the desired format. This way you always have up-to-date, time-comparable data without having to manually restart collection or rely on stale snapshots. |
| Analysis & insights | You receive raw data and have to do the analysis yourself: filters, charts, comparisons, identifying outliers and patterns. This takes time, requires analytical skills, and important information is often lost or incomplete conclusions are drawn. | We provide Data Intelligence: trends, comparisons by category/location, anomaly detection, top products/services, price changes, conclusions and practical recommendations. You don’t just get a file — you get a decision-making tool: pricing, product selection, positioning and growth opportunities. |
| Formats & integration | Exports are limited and rarely compatible with your systems. Importing into CRM/ERP, using in a dashboard or BI becomes difficult because the structure is not standardised, fields are missing, and mapping has to be done manually. | We deliver in the format you need: Excel, Google Sheets, CSV, JSON or a structure ready for import. We can adapt the data schema to your requirements and, if needed, offer API integration options or scheduled deliveries for internal systems. |
| Stability & support | Improvised scraping breaks easily, produces inconsistent results and has no logs or checks. If the source changes its structure, the process stops and you have to go looking for solutions again. There is no real support and no guarantee of a repeatable result. | We implement controlled, tested scraping with integrity checks and clear rules. If the source changes, we adjust the process so the system stays functional. You get stability, repeatability and technical support to maintain the data flow. |
| Time & real cost | It seems cheaper at first, but the real cost emerges over time: lost hours, errors, rework, lack of updates and decisions made on incomplete data. At high volumes or over long periods, it becomes an operational burden and slows down business execution speed. | You get a reusable system: after setup, data can be collected periodically, compared over time and used directly. You save time and reduce the risk of errors. In the long run, the cost per dataset decreases, while the benefit grows through faster insights and decisions. |
| Final result | An “ok” file for single use, often incomplete and hard to reuse. The process is not stable and cannot be easily repeated. Data quickly loses relevance, and analysis depends on a lot of manual work. | A clean, structured dataset delivered in the desired format, plus the option for periodic updates and analysis/insights components. A solution that can support decisions and growth: pricing, lead generation, research and competitor monitoring. |
Data scraping is the automated, controlled collection of data from online sources or internal systems, followed by cleaning and structuring it into a usable format (Excel, Google Sheets, CSV, JSON or API). Unlike manual copying, scraping is scalable, repeatable and much faster. Importantly: we don't just deliver "raw data" — we deliver a clean, validated dataset ready for decisions, reports or import into an online store.
We can collect data from: online stores (products, prices, stock, descriptions, variations), Google Maps (business listings, categories, reviews, public data), competitor websites (prices, categories, offers), aggregators and directories, public pages, files, tables and catalogues. If the source is legally and technically accessible, we analyse it and propose the right approach. You receive the data in the desired format with a clear structure.
Yes. Beyond scraping, we can provide Data Intelligence: deduplication, segmentation, classification, anomaly detection, period-over-period comparisons, rankings and reports. We can generate conclusions: market gaps, price changes, opportunities, lead lists and scores. For advanced projects, we also integrate AI for categorisation, summarisation and extracting insights from large data volumes.
Yes. We deliver in Excel, Google Sheets, CSV, JSON or a custom import format (WooCommerce, Shopify, ERP, CRM). We can add useful extra columns: categories, tags, URLs, images, status, collection date, source, validation. If you have an existing template, we adapt the export to match it exactly so you can import the data directly without any additional manual work.
Both. Projects can be:
One-time: full collection for an import or point-in-time analysis
Periodic: daily/weekly/monthly, with automatic updates and diffs (what changed) For periodic scraping, we agree on the frequency, volume, update rules and delivery format. You can receive files at fixed intervals or we can integrate directly into your system via API/automations.
We work responsibly. We only collect data from public sources or sources you have the right to access, respecting terms of use and best practices. We do not recommend collecting sensitive or private data. If there is a legal or technical risk, we tell you upfront and propose alternatives: official API, partnerships, exports or permitted sources. The goal is to get useful data without issues.
Quality comes from process: cleaning, validation, deduplication and checks. We set rules: uniform formats, required fields, encoding correction, error removal, outlier detection. We can do manual sampling for verification and deliver a quality report: how many records are complete, how many have gaps and what recommendations exist. This way you don't get "a big file" — you get a dataset you can rely on.
Because we deliver a usable result, not just collection. We understand business integration: e-commerce import, competitor analysis, lead lists, reports, automations and periodic updates. We have technical know-how, quality control and can add an intelligence layer (analysis + conclusions + recommendations). If you need clean, fast and scalable data, that is exactly our purpose.
Tell us what you want to build and we'll recommend the best solution, clear steps and an approximate cost and time estimate.
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