Singapore Restaurant Data Scraping Case Study: Foodpanda

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Singapore Restaurant Data Scraping Case Study: Foodpanda

Singapore Restaurant Data Scraping Case Study — Restaurant Re-Allocation Across Singapore After Platform Exit

How a SEA food delivery platform used real-time foodpanda data scraping and AI-assisted migration tracking to capture +18% share during the 90-day foodpanda Singapore withdrawal window.

8,400 — Restaurants re-allocated
90 days — Migration window
3 — Platforms covered
+18% — Share captured

Client overview

Who the client is

The client is a SEA food delivery platform competitor operating in Singapore. When foodpanda announced its Singapore withdrawal, the platform’s growth team identified a one-time opportunity to capture significant share — but only if they could move faster than competing platforms on merchant onboarding. They needed Singapore restaurant data intelligence to identify and prioritize re-allocation targets. Names are anonymized for confidentiality; metrics are shown exactly as delivered.

Objectives

What they wanted to achieve

Track ...
... restaurant re-allocation from foodpanda to remaining platforms
Identify high-value restaurants moving to GrabFood vs. Deliveroo vs. exiting delivery

Quantify the 90-day migration window
Prioritize merchant outreach for the client’s own platform
Capture share faster than competing platforms via data-led targeting
Build ongoing platform-shift monitoring for future events

The challenge

A 90-day window to capture share — and no targeting data

foodpanda’s Singapore withdrawal announcement created a narrow window — roughly 90 days — when 8,400+ restaurants would re-allocate to alternative platforms or exit delivery entirely. The first platform to identify and onboard high-value re-allocators would capture disproportionate share. Without merchant-level migration tracking, the client’s growth team would be onboarding random restaurants instead of the most valuable ones.

The solution

A real-time platform-shift migration tracker
FoodDataScrape built a continuous foodpanda data scraping pipeline (during wind-down) plus GrabFood Singapore data and Deliveroo coverage to track restaurant re-allocations in real time, with daily migration alerts and high-value-target prioritization. The build went live in three weeks.

Snapshot pre-exit
We captured the full foodpanda Singapore restaurant footprint before the withdrawal completed.

Track daily migrations
Per-platform extractors detected restaurants newly appearing on GrabFood or Deliveroo during the wind-down.

Score & prioritize
Each re-allocator was scored for value (review velocity, category, average order) and routed to the client’s outreach team.

The AI layer

How does AI-assisted platform-shift tracking work?
AI-assisted platform-shift tracking combines food delivery data scraping with merchant-matching models that detect when restaurants migrate between platforms — surfacing high-value migration targets in near-real time during platform transitions.

On top of the raw feed, an AI matching layer turned platform data into migration intelligence: it matched foodpanda-departing restaurants to their new-platform appearances, scored each migrator’s value, prioritized outreach targets, and surfaced restaurants exiting delivery entirely. The client’s growth team received daily prioritized target lists.

Tracked 8,400 restaurant re-allocations over the 90-day window
Identified 1,200 high-value re-allocators prioritized for outreach
Surfaced 640 restaurants exiting delivery entirely
Flagged 320 restaurants going GrabFood-exclusive (lost-cause for the client)

Data captured

What data we captured
The pipeline captured a full Singapore restaurant data intelligence migration view:
Restaurant identifiers
Pre-exit foodpanda data
New-platform appearance date
Per-platform attribution
Restaurant value score
Cuisine category
Zone & neighborhood
Outreach priority tag
Capture timestamp

sources.scope

foodpanda (wind-down): foodpanda data scraping used to capture the pre-exit restaurant snapshot.

GrabFood SG: GrabFood Singapore data scraping used to track post-exit appearances.

Deliveroo: Deliveroo data extraction used to monitor post-exit appearances.

BEFORE VS AFTER

Before vs after comparison

Migration Visibility: Improved from industry rumor to 8,400 movements tracked daily.

Outreach Targeting: Shifted from random merchant lists to value-scored prioritized targets.

Window Response Time: Enhanced from reactive scrambling to same-day target identification.

Exit Visibility: Upgraded from unknown post-event to 640 delivery exits flagged.

Share Capture Outcome: Increased from baseline to +18% share gained.

Refresh Cadence: Changed from weekly market reports to daily migration alerts.

ROI impact

From Assumption to Measurable ROI
+18% Share Captured: Singapore market share gained during the 90-day migration window.

8,400 Migrations Tracked: Restaurant re-allocations monitored across all post-exit platforms.

1,200 High-Value Targets: Prioritized outreach list generated using value scoring.

3 Weeks Time to Live: Pipeline deployed quickly enough to capture the full migration window.

The data-led targeting let the client outpace competing platforms during the 90-day migration window — capturing 18 percentage points of share that would otherwise have gone to undifferentiated outreach.

Client testimonial
In the client’s words
“When foodpanda announced the Singapore exit, every competitor knew the share was up for grabs. The data showed us which restaurants we actually wanted — and which to leave to the competition.”
— Head of Merchant Growth, SEA food delivery platform (name withheld)

Why FoodDataScrape

Why they chose FoodDataScrape
Specialists in Singapore food delivery data scraping
foodpanda, GrabFood Singapore & Deliveroo coverage
AI-assisted cross-platform merchant migration matching
Daily migration alerts during platform transitions
Compliance-aware sourcing and dedicated SEA analyst support
Live in three weeks with a free proof-of-concept first

Read More : https://www.fooddatascrape.com/singapore-restaurant-data-scraping-foodpanda.php
Originally Submitted at: https://www.fooddatascrape.com/index.php

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