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Scrapeit

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Bialystok, Poland
Managed web scraping: we build,run and maintain custom scrapers and deliver clean data from 500+ web
ScrapeIt is a web scraping company from Białystok, Poland, founded in 2021. We build and maintain custom data pipelines for e-commerce, real estate, travel, automotive, jobs, finance and healthcare teams - from one-off datasets to feeds refreshed several times a day. Clients send us the sources and fields; we handle everything else: collection, cleaning, deduplication, delivery and maintenance when websites change. Data arrives as CSV, JSON, Excel or through our API, S3 or SFTP. We collect public data only, follow each site's crawl rules and treat personal data under GDPR. NDA and DPA on request. Free project assessment and a sample dataset before you commit; plans from €169 per month.
10 people in their team
Speaks English, Polish, Russian
Sortlist member since 2025
Founded in 2022
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Services

4 services offered by Scrapeit

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  • Description

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  • Description
    We build, run and maintain custom web scrapers and deliver clean, structured data from the websites you need: marketplaces, property portals, travel, job and review sites. How we work: 1) free assessment of your sources and fields; 2) a sample dataset (up to 10% of the volume) so you can check the format; 3) we set up the pipeline, usually within days; 4) scheduled delivery - one-off, daily or several times a day - as CSV, JSON, Excel or via API, S3 or SFTP; 5) monitoring and parser maintenance when sites change. You get data, not a tool to maintain. NDA and DPA on request. Plans from €169 per month.
    Skills in Data Consulting (3)
    Data DiscoveryData ReportingData Monitoring

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  • Description
    Large-scale data pipelines from public web sources: millions of rows per month, deduplicated and normalised to one schema across many websites. Example: 230,000 daily rows standardised across five European property portals into a single feed. Delivered to your warehouse or CRM via API, S3 or SFTP.
    Skills in Web analytics/Big data (2)
    Data AnalyticsEcommerce Analytics

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  • Description
    Competitor prices, assortment, stock and reviews collected on a schedule from Amazon, Walmart, Allegro, eMAG and 500+ other websites. Every run keeps the same product IDs and fields, so you get clean price history, new and delisted items and seller changes instead of disconnected snapshots. Typical projects: daily price monitoring for a fixed product list, EAN-based lowest-price tracking, market sizing by category and country.
    Skills in Market Research (1)
    Market Research

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  • HeadquarterLegionowa 10, Białystok, Poland