iFood web scraping & data extraction services
Daily iFood food delivery data — prices, listings, availability, and reviews — refreshed on your schedule and delivered to your warehouse.
- Coverage across iFood's food delivery catalog
- Hourly to real-time refresh
- Stable, versioned schema
- Pay only for successful records
iFood web scraping, done right.
iFood web scraping at scale, normalized to a stable schema. Krawlx maintains the scrapers, anti-bot stack, and parsing layer so your team gets clean, ready-to-use iFood data without operating the crawl pipeline yourself.
Krawlx is a full-stack web scraping partner — not a proxy reseller and not a script library. Our infrastructure, parsers, and SRE team are tuned specifically for iFood, so when iFood ships a new layout, an A/B test, or a fresh anti-bot challenge, the fix is on our roadmap, not yours.
Every iFood field, scraped and normalized.
Krawlx iFood web scraping covers every field visible on the page — and a few that aren't (computed deltas, history, normalized identifiers).
Don't see a field? Tell us what you need — we add fields on request, typically within 5 working days.
Every iFood surface, covered.
From a single SKU lookup to a full nightly catalog refresh — Krawlx supports every iFood web scraping pattern your team needs.
Restaurant pages
Krawlx web scraping support for iFood's restaurant pages surface — schema-stable and SLA-backed.
Menu sections
Krawlx web scraping support for iFood's menu sections surface — schema-stable and SLA-backed.
Item modifiers
Krawlx web scraping support for iFood's item modifiers surface — schema-stable and SLA-backed.
Aggregator promo pages
Krawlx web scraping support for iFood's aggregator promo pages surface — schema-stable and SLA-backed.
Who uses iFood web scraping data, and why.
Our customers run iFood scraping for these core jobs-to-be-done, each shipped as a managed feed.
Aggregator vs direct-app delta
See where aggregators mark up your menu, and by how much — store by store, item by item.
Geofenced menu pricing
Compare item pricing across ZIPs, dayparts, and aggregators for revenue management.
Promo & combo decoding
Parse aggregator promos and combo offers into normalized, comparable records.
Your stack, your schedule.
iFood data lands wherever your team works — REST API, real-time webhooks, Parquet drops to S3, or daily writes to your warehouse.
- JSON, CSV, JSONL, Parquet
- Postgres, MySQL, BigQuery, Snowflake, Redshift
- S3, GCS, Azure Blob, SFTP
- Webhooks (any HTTPS endpoint)
- Real-time websocket streams (Growth & Enterprise)
- Cron, hourly, daily, on-demand
# Scrape iFood product data via Krawlx curl -X GET "https://api.krawlx.io/v2/products/ifood" \ -H "Authorization: Bearer $KRAWLX_KEY" \ -d url="https://ifood.example/p/B0CXYZ1234" \ -d fields="price,stock,reviews,seller"
One auth scheme, one schema. Switch iFood for any platform — same code path, same response shape.
iFood web scraping — within the rules.
Public data only
We scrape only publicly accessible iFood pages. We never log into customer accounts or extract personal information not displayed publicly.
GDPR · CCPA · DPDP
Krawlx complies with GDPR (EU/UK), CCPA (California), India's DPDP Act, and local data-protection regimes. PII is filtered at the edge before delivery.
Respectful crawling
Polite request rates, jittered scheduling, and back-off on signal. Our crawlers are designed not to disrupt iFood's service for real users.
iFood web scraping — frequent questions.
Other LATAM & food delivery web scraping services.
Pair iFood with these adjacent platforms — most teams scrape 3–6 in parallel for full market coverage.
Get a free iFood web scraping sample.
Send us 5 iFood URLs (or just a category). We'll deliver a normalized JSON sample within 24 hours.
Request a free sample