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Blog

Insights, updates, and expert articles to help you leverage web data effectively.

Article

How to Scrape Public Data Without Legal Risks

Web scraping has become an essential tool for businesses, enabling the collection of publicly available data for market research, lead[…]

Article

The Challenges of Manual PDF Data Extraction and How Grepsr Solves Them

Extracting data from PDFs manually is a task that many businesses dread. PDFs are widely used for invoices, reports, catalogs,[…]

Article

7 Signs Your Business Needs a Professional Website Scraping Service

Collecting web data manually or relying on in-house scripts can work for small projects-but only until it starts causing delays,[…]

Article

Web Extraction as a Feature: Using External Data to Enhance Generative-AI Systems

Generative AI systems, from text generators to recommendation engines, rely heavily on high-quality, diverse datasets. While internal datasets provide a[…]

Article

Contextual Classification with LLMs: Grepsr’s Method for Tagging Data by Themes, Risk Levels & Segments

Enterprises generate and collect vast amounts of unstructured web data, from news articles to social media mentions, reports, and reviews.[…]

Article

Building Knowledge Graphs from Web Data: Grepsr’s Entity Linking & Relationship Extraction Solutions

Unlocking actionable insights from large-scale web data is a key differentiator for enterprises in competitive markets. Raw web data alone[…]

Article

Designing Resilient Web Data Workflows: Retries, Monitoring, and Operations

Web scraping at scale requires more than simple scripts. Enterprises need resilient, production-grade data pipelines that handle errors, maintain uptime,[…]

Article

Automating Product Review and Sentiment Analysis for E-Commerce Using Structured Web Data

Product reviews are a critical factor in customer purchase decisions and overall brand reputation. Positive reviews can increase conversion rates,[…]

Article

Turning High‑Quality Scraped Data into Business Opportunities with AI

In many organisations the challenge is not the lack of data but the ability to reliably collect, organise, and eventually[…]

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