Web scraping and data extraction that delivers clean, usable records.

No. Some sites prohibit automated access in their terms, block it technically, or hold data that needs a licence or a lawful basis to use. Logged-in areas are an option only where you have the right to access them and the terms allow it. We don't build around logins, CAPTCHAs or blocks designed to stop automation. Where a source isn't suitable, we suggest an official API, a licensed data provider or an alternative source.

Publicly accessible sources where collection is permitted, such as business directories, e-commerce catalogues and prices, marketplaces, property portals, review sites, job boards and company websites. We extract structured fields such as names, categories, prices, stock, ratings and addresses, and can render JavaScript-heavy pages, paginate and follow links. Each source gets a check of its terms, data licence, privacy and technical feasibility first.

It depends on the source, the data and how it is used, so we review each use case. We focus on publicly available data, check robots.txt and each site's terms, avoid personal data you have no lawful basis to collect under the PDPA and other applicable law, and throttle requests so we don't overload a site. Where an official API exists we prefer it. If a use case looks legally risky, we tell you before building and may recommend legal or contractual review.

As accurate as the source and the checks allow. Each record keeps its source and collection date, fields are validated against agreed formats, and missing values are marked rather than guessed. Collected data reflects what the source published at the time, so it isn't verified unless verification is in scope. We agree accuracy and completeness criteria before the build.

Sometimes, depending on the source. Many platforms, including Google Maps, restrict scraping in their terms, so we check terms, official APIs such as Google Places, data licences and privacy rules first. Where collection is permitted, we extract business names, categories, addresses, websites and ratings across a location or niche, then de-duplicate them into your sheet, database or CRM. Contact data needs a lawful basis for how you plan to use it.

As often as the use case needs and the source permits, from hourly price and stock checks to daily or weekly directory sweeps. For price and product monitoring we detect changes between runs and can send alerts or feed a dashboard, so you see competitor moves without checking sites by hand.

Wherever it's most useful to you. We can deliver CSV or JSON files, write clean, de-duplicated records to Google Sheets or Airtable, load them into PostgreSQL, MySQL, BigQuery or Snowflake for analysis, or push them into a CRM such as HubSpot. For reporting on top, see our dashboard development service.

Sites change, and scrapers break, so we build in checks that flag a run returning no data or unexpected fields, and hold it instead of overwriting good records. With a maintenance plan, we update the scraper when a site is redesigned. Without one, the alerts and documentation help your team fix it, so you're not left with silent gaps in your data.

You own the bespoke scrapers and documentation built for your project under our agreement, and the delivered data is yours to use within each source's terms and licence. Framworq keeps its pre-existing tools and reusable components, with the rights your team needs to use the system. Any licensed data or API fees sit with you. We're based in Kuala Lumpur and work with clients across Malaysia and abroad, remotely.