Web Scraping Services in Malaysia

Malaysia is one of the clearest cases in our coverage where a national figure describes almost nobody.

• Delivery coverage concentrates sharply. Quick commerce and food delivery serve Klang Valley densely, other urban centres partially, and much of the country not at all. A national availability average blends served and unserved geography into one meaningless number.
• Price competition is metropolitan. The intensity of promotional activity in Kuala Lumpur, Petaling Jaya and Shah Alam is not what a merchant in Kuantan or Kota Bharu experiences.
• Assortment differs by zone, because dark stores and restaurant partners are chosen per catchment.

We record zone on every observation and design the zone panel with you rather than sweeping the country. A designed Klang Valley panel plus two or three secondary centres usually answers the question at a fraction of the cost of national coverage, and it answers it more honestly.

On category sales: a Q3 enquiry asked us for food delivery category sales breakdown for Klang Valley. No platform publishes sales. We deliver category share of listings, price position and ranking, which are real, and we name them as what they are rather than converting them into a revenue figure.

Malaysian listings mix Malay, English and Chinese, frequently within a single product title, and there is no language field to sort them by.

What we do

• Retain the original text exactly, in whatever script and mixture it appeared.
• Detect the dominant script and record it as a field, so a downstream filter can work.
• Match products across language variants using attributes, identifiers and image hashes rather than title similarity, which fails badly across scripts.

What we do not do

We do not machine-translate into the observation field. A translated title in the same column as an original is indistinguishable from an original two weeks later, and product names are exactly the text where translation goes wrong — brand names become words, sizes become descriptions.

Where you want translation, we deliver it as a separate field with the engine and date recorded, so your team knows which text a human wrote and which a machine produced.