Go4ScrapHQ | web scraping and data intelligence

We help teams gather publicly available data from websites and portals, then deliver clean, structured datasets in CSV/JSON/API format. Common projects include GIS and map-based datasets, public government sites, directories, listings, and health-related public datasets (including cancer data), with a focus on accuracy, consistency, and responsible collection.

Go4Scrap.in delivers cost-effective web scraping and data extraction services for clients across India, the USA, the UK, and Australia. Get clean CSV/JSON/API outputs for eCommerce, travel, real estate, and public-data projects—starting with an NDA and a free sample after approval.

Go4Scrap.in provides professional web scraping, data extraction, and custom data feeds for businesses and research teams. We convert publicly available web data into clean, structured outputs such as CSV, Excel, JSON, or API endpoints, built around your exact fields, rules, and update schedule. Whether you need a one-time dataset (backfill) or daily/real-time monitoring, our goal is simple: deliver dependable data that is ready to use. What we extract and deliver We build custom pipelines for: Travel & hospitality data (rates, availability, listings, reviews, location signals) Food & restaurant data (menus, pricing, cuisine tags, operating hours, delivery availability) Entertainment (events, venues, schedules, ticket availability, show metadata) Pharma & medical (medicine catalogs, compositions, pricing, availability, public doctor/hospital directories) Blogs and content datasets (articles, authors, categories, tags, publishing dates, metadata)

If you have a niche requirement, we also build custom datasets that combine multiple sources into one standardized schema. India coverage: states and major cities We support pan-India data needs, including state- and city-level datasets for: Maharashtra (Mumbai, Pune), Delhi NCR, Karnataka (Bengaluru), Tamil Nadu (Chennai, Coimbatore), Telangana (Hyderabad), West Bengal (Kolkata), Gujarat (Ahmedabad, Surat), Rajasthan (Jaipur), Uttar Pradesh (Lucknow, Noida), Madhya Pradesh (Indore, Bhopal), Kerala (Kochi, Thiruvananthapuram), Punjab (Ludhiana, Chandigarh), Haryana (Gurugram), Andhra Pradesh (Visakhapatnam), Odisha (Bhubaneswar), Bihar (Patna), Assam (Guwahati), and more—depending on where your target sources operate. Instead of creating thin “city pages,” we build one strong dataset with clear location fields (state, district, city, pincode/ZIP, latitude/longitude when available) so you can filter and analyze by geography.

For US-focused projects, we commonly work with large, directory-style and review-driven ecosystems (where permitted by public access) across categories like travel, local businesses, healthcare, and content publishing. We design extraction around stable identifiers, reduce duplicates, and normalize categories so the dataset stays consistent across states and cities. Advanced data logic: not just scraping Go4Scrap.in is not limited to “copying pages.” We implement data engineering logic such as: Entity extraction and NER (Named Entity Recognition) for fields like brand names, addresses, doctor names, specialties, cuisines, amenities, and product attributes Custom rules and transformations (standardizing units, currency, dates, location formats) Deduplication and entity matching (same business listed multiple ways) Product mapping / listing mapping across websites to compare like-for-like items Quality checks (schema validation, missing-field , change detection.)