iFood Scraper — Brazil Menu Prices & Restaurants

What does iFood Scraper do?

iFood Brazil Scraper extracts menu items from restaurants and stores on ifood.com.br. Each row carries the price, original price and discount, plus the item description and image. It also names the restaurant with its rating, rating count, delivery time and delivery fee. Search by keyword in the delivery location you name, or paste iFood store URLs, and set a result limit so the same query runs consistently over time.

How to use this actor

• 👉 Register for a free Apify account — no credit card required.
• 🎉 Just click Sign up free on Apify → and complete a quick signup.
• 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
• ⏳ Scrape during the free trial, with no commitment or upfront payment required.

Key features

• 💵 Structured pricing: structured price, originalPrice, currency and discountPercent on every product — numbers you can sort and compare without parsing price text.
• 🏷️ Brand and identifiers: ean on every product, ready to join against your own catalog.
• 🖼️ Images: imageUrl on every product, ready for a catalog or a feed.
• 🔍 Keyword search: search ifood.com.br by keyword with the query input, in the place you name in location.
• 🔗 Paste-mode: paste ifood.com.br URLs into startUrls to scrape exactly the pages you picked in the browser.
• ♻️ Incremental mode: daily runs emit only listings that are new or whose price/condition changed since last run. Perfect for inventory-diff dashboards and competitive pricing alerts. Saves 80–95% on recurring monitoring.
• 🔔 Notifications: telegram / Slack / Discord / WhatsApp / webhook alerts on each run. Combine with incremental to ping only when prices or inventory actually move.
• 📦 Compact mode: light payload with core fields only — comparable rows across listings without HTML or metadata overhead. Perfect for pricing dashboards.
• 🔌 MCP connectors: export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.
• 📌 Change classification: each record carries a changeType of NEW / UPDATED / UNCHANGED / REAPPEARED / EXPIRED. Default emits NEW + UPDATED + REAPPEARED; opt into the others with emitUnchanged / emitExpired.

What data can you extract from ifood.com.br?

Each result includes Core product fields (listingId, itemId, title, name, price, originalPrice, minimumPrice, and discountPercent, and more) and detail fields when enrichment is enabled (description and detailFetched). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — What to search the menus for, in Portuguese — e.g. pizza, sushi, hamburguer, açaí, coca cola. Required unless you give 🔗 Start URLs. Use a JSON array for several searches in one run: ["pizza","sushi"].
• location — Where you are ordering from — results are the menus that deliver there. Give coordinates as latitude,longitude (e.g. -22.9068,-43.1729) or the name of a Brazilian state capital (e.g. Rio de Janeiro, Belo Horizonte). Leave empty for São Paulo. Use a JSON array for several delivery points in one run.
• maxResults — Maximum total menu items (0 = unlimited — up to 5,000 per search term and delivery point). In incremental mode this is how many of the top-ranked results are checked each run, so raise it (or use 0) to watch the whole result set. (default: 100)
• descriptionMaxLength — Truncate each item description to N characters. 0 = no truncation. (default: 0)
• compact — Core fields only — item, price, availability, restaurant, city, URL (for AI-agent/MCP workflows). (default: false)
• excludeEmptyFields — Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards. (default: false)
• incrementalMode — Compare against the previous run and return only new, changed or de-listed menu items — including price changes. stateKey is optional: it defaults to a value derived from your search inputs (search terms, delivery points) so different searches never share state. (default: false)
• stateKey — Optional. Stable identifier for the tracked search universe. Leave empty to auto-generate from the search terms and delivery points.
• emitUnchanged — When incremental, also emit menu items that have not changed since the previous run. (default: false)
• emitExpired — When incremental, also emit one row per menu item that is no longer found (changeType EXPIRED, with the details remembered from earlier runs). Needs a full scan of the results, so the run reads every result page; rows count against Max Results and your cost limit. (default: false)
• skipReposts — When incremental, skip menu items whose content matches an item that disappeared in a prior run (cross-run duplicate detection). (default: false)
• notifyOnlyChanges — When Incremental Mode is on, only send notifications for NEW and UPDATED menu items (including price changes). Has no effect outside incremental mode. (default: false)
• ...and 15 more parameters

Input examples

Basic search — Keyword-driven search scoped to a city with a tight radius.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "pizza",
  "location": "São Paulo",
  "maxResults": 50
}

Incremental tracking — Only emit products that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "pizza",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "pizza-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "pizza",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured product records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example product record

{
  "listingId": "bc5b17bab6452cee21c707f931341e82085d7168ab1f469659f9da81b9825494",
  "itemId": "4eb157e9-bbaf-477f-aebc-036e1aff003e",
  "title": "Combo Express - Pizza Grande + Refri 2 L",
  "name": "Combo Express - Pizza Grande + Refri 2 L",
  "description": "Pizza grande de até 2 sabores + refrigerante 2 litros. O combo mais pedido da Vila.",
  "price": 92.49,
  "originalPrice": 99.5,
  "minimumPrice": 92.49,
  "discountPercent": 7,
  "currency": "BRL",
  "menuCategory": "Combos E Ofertas",
  "taxonomyLevel1": "PIZZAS",
  "taxonomyLevel2": "PIZZAS",
  "imageUrl": "https://static-images.ifood.com.br/image/upload/t_medium/pratos/17f4a005-8c29-402b-9d1c-21fd76de786a/202604060951_SBS3_i.jpg",
  "available": true,
  "hasComplements": true,
  "availableForScheduling": false,
  "nextSchedulingSlotStart": "2026-10-10T18:30:00-03:00",
  "nextSchedulingSlotEnd": "2026-10-10T19:00:00.999999-03:00",
  "url": "https://www.ifood.com.br/delivery/sao-paulo-sp/vila-da-pizza-bela-vista/17f4a005-8c29-402b-9d1c-21fd76de786a",
  "portalUrl": "https://www.ifood.com.br/delivery/sao-paulo-sp/vila-da-pizza-bela-vista/17f4a005-8c29-402b-9d1c-21fd76de786a",
  "restaurantId": "17f4a005-8c29-402b-9d1c-21fd76de786a",
  "restaurantName": "VILA DA PIZZA",
  "entityName": "VILA DA PIZZA",
  "restaurantUrl": "https://www.ifood.com.br/delivery/sao-paulo-sp/vila-da-pizza-bela-vista/17f4a005-8c29-402b-9d1c-21fd76de786a",
  "restaurantSlug": "sao-paulo-sp/vila-da-pizza-bela-vista",
  "restaurantCategory": "Pizza",
  "restaurantCategoryCode": "PIZ",
  "restaurantLogoUrl": "https://static-images.ifood.com.br/image/upload/t_thumbnail/logosgde/17f4a005-8c29-402b-9d1c-21fd76de786a/202604271350_yU4a_v.jpg",
  "restaurantRating": 4.9,
  "restaurantRatingCount": 5870,
  "restaurantAvailable": true,
  "restaurantBadges": [
    "SUPER_RESTAURANT",
    "MERCHANT_NRT_IMPRESSION_TRACKING",
    "ENABLE_INSTALLMENT_INTEREST"
  ],
  "serviceFeatures": [
    "DELIVERY",
    "TAKEOUT",
    "SCHEDULING",
    "IMMEDIATE_ORDER"
  ],
  "superCategories": [
    "RESTAURANT"
  ],
  "location": "sao-paulo-sp",
  "citySlug": "sao-paulo-sp",
  "state": "SP",
  "distanceKm": 1.1,
  "deliveryTimeMinMinutes": 31,
  "deliveryTimeMaxMinutes": 41,
  "takeoutTimeMinutes": 0,
  "deliveryFee": 0,
  "deliveryFeeType": "DEFAULT",
  "searchQuery": "pizza",
  "contentQuality": "serp_only",
  "detailFetched": false,
  "scrapedAt": "2026-10-10T20:29:50.483Z",
  "source": "ifood.com.br"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape ifood.com.br

1. Go to iFood Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract product data from ifood.com.br for market research and competitive analysis.
• Track pricing trends across regions and categories over time.
• Monitor new and changed products on scheduled runs without processing the full dataset every time.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Benchmark seller / dealer reputation using rating fields.

How much does it cost to scrape ifood.com.br?

iFood Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.01 per run
• Per result: $0.022 per product record

Example costs:

• 10 results: $0.23
• 25 results: $0.57
• 100 results: $2.26
• 200 results: $4.51
• 500 results: $11.26

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of products that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 products per run, daily polling (30 runs/month). Costs scale linearly with the number of products.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$5.63	$0.29	$5.34 (95%)	$8.74
15% — moderate broad query	$5.63	$0.85	$4.78 (85%)	$25.61
30% — high-volume aggregator	$5.63	$1.70	$3.94 (70%)	$50.92

Full re-scrape monthly cost at the same cadence: $169.05. First month with incremental costs $14.08 / $30.39 / $54.86 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from ifood.com.br?

The number of results depends on the search query and available products on ifood.com.br. Use the maxResults parameter to control how many results are returned per run.

Does iFood Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed products on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate iFood Scraper with other apps?

Yes. iFood Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use iFood Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use iFood Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape ifood.com.br?

This actor extracts publicly available data from ifood.com.br. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on ifood.com.br. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with iFood's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by iFood or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

Search keywords

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