Data Extraction and Web Scraping on Demand
Data extraction from Saitami means custom web scraping of any website, directory or platform — Google Maps, yellow pages, real estate portals, marketplaces, specialized catalogs — with a clean, structured Excel or CSV result. We analyze the target site, build a scraper in Python or Node.js, extract, clean and validate the data, and deliver it ready to use. For recurring needs we set up scheduled scripts. Prices in EUR, from €149 per project, no subscription for a one-off extraction.
Why manual data collection does not scale
When the data you need is spread across hundreds of pages — a competitor catalog, a price list, a company directory — copying it by hand takes days and always contains errors. By the time the file is ready, part of it is already stale. Web scraping solves exactly that: automated, repeatable extraction that produces a consistent result in minutes instead of days.
We build the scraper for the specific site and your need. We work within what is publicly available, respect reasonable request limits, and do not extract personal data without a lawful basis. The result is a clean dataset your team can load straight into analysis, a CRM or an ERP.
What we extract
- ✓Business directories and Google Maps — companies, addresses, phones, opening hours, ratings and categories for market research or lead lists.
- ✓Prices and product catalogs — monitoring of competitor prices, stock and assortment from marketplaces and online shops.
- ✓Real estate and listing portals — listings, prices, locations and features for market analysis.
- ✓Specialized catalogs and registries — industry directories, public registries and niche platforms.
- ✓Dynamic sites — handling of publicly accessible dynamic content via Selenium or Playwright, with reasonable rate limits. We do not bypass logins, paywalls or access controls.
- ✓API-based extraction — when a site offers an official API, we use it for faster and more reliable extraction.
If the extracted data needs to become a ready commercial list, see company database.
How the project runs
1. Target site analysis
We review the site structure, define the required fields and check for protections, pagination and dynamic content.
2. Scraper development
We write a custom scraper in Python (Scrapy, Selenium, Playwright) or Node.js (Puppeteer), based on what is most reliable for the specific site.
3. Extraction, cleaning and validation
We run the extraction, deduplicate, normalize the fields and validate contact data where applicable.
4. Delivery or automation
You receive a ready Excel/CSV. For recurring needs we set up a scheduled script — daily, weekly or monthly — that delivers the data automatically.
Pricing and timelines
Complex dynamic sites and deep pagination are priced according to scope. Saitami has worked since 2013 on 58+ completed projects for 50+ Bulgarian businesses.
Frequently Asked Questions
How much does a web scraping project cost?
A one-off data extraction from a single source is from €149. The price depends on site complexity, volume and required fields. A scheduled automated scraper is from €90/month with support. All prices in EUR.
Is data extraction legal?
We extract only publicly accessible data, respect robots.txt and the site's terms, and apply reasonable rate limits. We never bypass logins, paywalls or access controls. B2B contact data can be personal data under GDPR — we process it on a legitimate-interest basis with an LIA where applicable.
Can you extract from dynamic sites?
Yes. We use Selenium and Playwright for publicly accessible dynamic content, with reasonable rate limits so we do not overload the target site. We do not bypass logins, paywalls or access controls. When a site offers an official API, we use it for more reliable extraction.
In what format do I receive the data?
Excel (.xlsx) or CSV with clean, structured columns. If needed we deliver JSON or load it directly into a database, CRM or ERP.
Can you set up automated extraction?
Yes. For recurring needs — price monitoring, catalog updates — we set up a scheduled script that delivers the data to your inbox daily, weekly or monthly, with no manual intervention.
How much data can you extract?
Volume depends on the source, but a typical project covers anywhere from a few thousand to several hundred thousand records. For very large extractions we split the process into batches and work at a reasonable request frequency, so we do not overload the target site and keep data quality stable. If the volume grows over time, the automated script adds only new and changed records instead of pulling everything again.
Need data extraction?
Describe the source and the data you need, and within one business day you get a complexity estimate and a fixed EUR price.
Request web scraping →Related services: web scraping service · company database