iFood Scraper

Extract iFood restaurants, grocery stores, menus and reviews in Brazil as rows you can export.

• Find merchants by city, CEP, coordinates, cuisine or chain.
• Read merchant details, menu prices and customer reviews.
• Link restaurant, menu item, product and review rows through merchant IDs.
• Discover city, category and vertical values for your next input.
• Pay $3.00 per 1,000 delivered rows on the Free plan, plus a start fee.

What does iFood Scraper do?

iFood Scraper collects public marketplace data from ifood.com.br. Use it for menu-price comparisons, merchant research or review analysis. It is unofficial and is not affiliated with iFood.

• Listings: city, category, mercado, chain, nearMe, home and browse select merchants by location or interest.
• Merchant data: merchant, menu, dish and reviews target a merchant or item.
• Discovery: discoverCities, discoverCategories and discoverVerticals provide input values.
• Multiple links: startUrls accepts several iFood URLs.
• Optional rows: includeMenuItems, includeReviews, includeDishes and enrichMenus default to false. Each additional row is billed at the same rate and uses the same input's row allowance. Explicit menu, dish and reviews modes request those rows directly.

What data can you extract from iFood?

Each row has rowType, a stable id and scrapedAt. Child rows carry restaurantId; parent names, URLs and city are copied when available. Fields vary by source and mode.

Restaurant rows: restaurant

Field	Description	Example
merchantUuid	Merchant identifier	d468b0b0-a18f-4ecc-9631-6faf2aa8eeb0
name	Merchant name	Example Restaurant
citySlug	City and state slug	sao-paulo-sp
mainCategory	Main cuisine or category	Pizza
evaluationAverage	Average rating	4.6
deliveryFee	Displayed delivery fee	5.99
deliveryTimeMin	Minimum delivery minutes	30
url	Merchant page	https://www.ifood.com.br/delivery/...
phoneIf	Contact number, when available	+1 555 0100
cnpj	Business registration, when available	XX.XXX.XXX/XXXX-XX

Menu rows: menuItem

Field	Description	Example
productId	Menu or catalog item ID	example-item-id
restaurantId	Parent merchant ID	example-merchant-id
name	Item name	Margherita pizza
price	Listed price	39.90
category	Menu category	Pizzas

Dish rows: product

Field	Description	Example
productId	Dish identifier	example-dish-id
restaurantId	Parent merchant ID	example-merchant-id
name	Dish name	Vegetarian burger
price	Listed price	29.90

Review rows: review

Field	Description	Example
restaurantId	Reviewed merchant	example-merchant-id
rating	Review score	5
comment	Review text	Example review text
createdAt	Review date, when available	2026-10-01T12:00:00Z

City rows: city

Field	Description	Example
citySlug	City input value	sao-paulo-sp
uf	Brazilian state code	SP

Category rows: category

Field	Description	Example
categorySlug	Category input value	pizza
name	Category label	Pizza

Vertical rows: vertical

Field	Description	Example
categorySlug	Vertical input value	mercado
name	Vertical label	mercado

How to scrape iFood

1. Open iFood Scraper in Apify Console.
2. Fill a target field such as citySlug or merchantUrl.
3. Set maxResults to 3 for a small first run.
4. Click Start and wait for completion.
5. Download the dataset or read it through the API.

Empty input starts an example run for pizza in São Paulo, limited to 3 rows. Normal pricing applies; this is not a free sample. With mode: "auto", filling a target selects its mode. Priority is startUrls, merchant URL or UUID, pageId, chainName, category or search term, then location. Select an explicit mode for menus, dishes or reviews.

City

Use citySlug, such as sao-paulo-sp, for merchant listings.

Category

Use categorySlug or searchTerm. Add a location; otherwise São Paulo is used.

Mercado

Select mercado for grocery-store listings, optionally with a city.

Chain

Use chainName and a location to search for a brand.

Near me

Use nearMe with cep, address, or both latitude and longitude.

Home

Select home for a location's home feed; the fallback is São Paulo.

Browse

Use browse with a known iFood pageId and optional location.

Merchant

Provide merchantUrl or merchantUuid. A URL supplies its city; a bare UUID falls back to São Paulo unless you supply citySlug.

Menu

Select menu with a merchant URL or UUID to receive menu rows, not a nested menu inside one restaurant row.

Dish

Select dish with a merchant and its itemId or dishUuid.

Reviews

Select reviews with a merchant. Use reviewPage and reviewPageSize for paging.

Discover cities

Select discoverCities for city slugs, including predefined city entries.

Discover categories

Select discoverCategories. Categories may fall back to a predefined list.

Discover verticals

Select discoverVerticals for predefined vertical values; these are not live merchant counts.

Start URLs

Fill startUrls with iFood links. Each URL has its own maxResults allowance.

What to fill in

Field	What to enter	Default
mode	Mode above, or automatic selection	auto
citySlug	City-state slug	Empty; form prefills sao-paulo-sp
searchTerm	Search words, preferably Portuguese	Empty; form prefills pizza
categorySlug	Cuisine or vertical	Empty
chainName	Chain name	Empty
cep	Eight-digit Brazilian postal code	Empty
address	Brazilian location text	Empty
latitude, longitude	Delivery coordinates together	Empty
merchantUrl	iFood merchant link	Empty
merchantUuid, merchantSlug	Merchant ID and optional slug	Empty
itemId, dishUuid	Item ID for dish mode	Empty
pageId	Known browse-page identifier	Empty
startUrls	List of iFood URLs	Empty
maxResults	Rows per input, from 1 to 500	70; form prefills 3
includeMenuItems	Menu rows with merchant data	false
includeReviews	Reviews with merchant data	false
includeDishes	Dish rows from search	false
enrichMenus	Menu rows from listed merchants	false
enrichDetails	Additional merchant contact and delivery fields	false
maxEnrich	Maximum merchants to enrich, 0–50	5
loadMoreRounds	Extra search pages, 0–20	0
reviewPage	First review page, 1–50	1
reviewPageSize	Review page size, 1–50	30
sortBy	Optional sort value understood by iFood	Empty
mainCategoryFilter	Text contained in the merchant category	Empty
includeVerticals	Vertical keywords to retain	Empty
cursor	Continuation object, if available; normally omit	Empty
proxyCountry	Keep the Brazil setting	br

Examples below request at most 3 rows per input. Replace YOUR_ITEM_ID and YOUR_PAGE_ID with actual iFood identifiers.

Automatic selection

{"searchTerm":"pizza","maxResults":3}

City

{"mode":"city","citySlug":"sao-paulo-sp","maxResults":3}

Category

{"mode":"category","citySlug":"curitiba-pr","categorySlug":"japonesa","maxResults":3}

Mercado

{"mode":"mercado","citySlug":"porto-alegre-rs","maxResults":3}

Chain

{"mode":"chain","chainName":"Burger King","citySlug":"sao-paulo-sp","maxResults":3}

Near me

{"mode":"nearMe","cep":"01310-100","maxResults":3}

Home

{"mode":"home","citySlug":"sao-paulo-sp","maxResults":3}

Browse

{"mode":"browse","pageId":"YOUR_PAGE_ID","citySlug":"sao-paulo-sp","maxResults":3}

Merchant

{"mode":"merchant","merchantUuid":"d468b0b0-a18f-4ecc-9631-6faf2aa8eeb0","maxResults":3}

Menu

{"mode":"menu","merchantUuid":"d468b0b0-a18f-4ecc-9631-6faf2aa8eeb0","maxResults":3}

Dish

{"mode":"dish","merchantUuid":"d468b0b0-a18f-4ecc-9631-6faf2aa8eeb0","itemId":"YOUR_ITEM_ID","maxResults":1}

Reviews

{"mode":"reviews","merchantUuid":"d468b0b0-a18f-4ecc-9631-6faf2aa8eeb0","reviewPageSize":3,"maxResults":3}

Discover cities

{"mode":"discoverCities","maxResults":3}

Discover categories

{"mode":"discoverCategories","citySlug":"sao-paulo-sp","maxResults":3}

Discover verticals

{"mode":"discoverVerticals","maxResults":3}

Start URLs

{
  "mode":"startUrls",
  "startUrls":["https://www.ifood.com.br/delivery/sao-paulo-sp/212-burger-pinheiros-pinheiros/d468b0b0-a18f-4ecc-9631-6faf2aa8eeb0"],
  "maxResults":3
}

maxItems and limit are aliases for maxResults. Close misspellings of field names can be corrected; other unknown fields are ignored with a note. Every run writes its input-resolution report to INPUT_REPORT in the default key-value store. Resolution errors use INVALID_INPUT: <field> — <how to fix>; other validation errors also identify the problem. Validation happens before row delivery, so no rows are charged for invalid input; the start fee can still apply.

Output example

Illustrative restaurant row; values are examples, not a current listing.

{
  "rowType": "restaurant",
  "id": "example-merchant-id",
  "merchantUuid": "example-merchant-id",
  "name": "Example Restaurant",
  "citySlug": "sao-paulo-sp",
  "country": "br",
  "mainCategory": "Pizza",
  "evaluationAverage": 4.6,
  "deliveryFee": 5.99,
  "scrapedAt": "2026-10-01T12:00:00Z"
}

Export the dataset as JSON, CSV, Excel, XML, RSS or an HTML table.

Why use this iFood scraper?

• Row-based billing: the result charge applies to delivered rows, not attempted pages.
• Useful partial output: rows already written remain available after a stop. Available partial results can be delivered when collection ends early; abrupt cancellation does not guarantee undelivered data.
• Traceable input: INPUT_REPORT explains mode selection and corrections; RUN_SUMMARY records the outcome.
• No invented source values: unavailable prices, contact details and ratings stay absent or empty.
• Several inputs: collect multiple merchant links with startUrls.
• No proxy setup: you do not need to set up proxies.

How much does it cost to scrape iFood?

Pay-per-event pricing includes platform usage. The start event costs $0.005 per GB of memory, with a minimum of one event. At the default 512 MB, one start costs $0.005.

Apify plan	Start at 512 MB	Price per row	Price per 1,000 rows
Free	$0.005	$0.003	$3.00
Starter	$0.005	$0.003	$3.00
Scale	$0.005	$0.0026	$2.60
Business	$0.005	$0.0022	$2.20
Platinum	$0.005	$0.002	$2.00
Diamond	$0.005	$0.0016	$1.60

maxResults applies to each start URL, or the single target in other modes. The default is 70; larger requests are collected in parts of at most 70 rows. All row types share that input's allowance. The schema permits up to 500 rows per input; availability may produce fewer.

Free-plan users are limited to 10 runs of this Actor and 200 rows per run. The whole run is also bounded by Maximum cost per run (maxTotalChargeUsd in the API).

Example: one input delivering 3 rows on the Free plan at 512 MB costs 3 × $0.003 + $0.005 = $0.014 for one start. Optional menu or review rows count within those 3 rows, not as free additions.

What happens when the run timeout is too short

When automatic resumption is triggered, the run pauses with ABORTED and a message such as “Queued on the collection backend; this run will resume automatically when results are ready (about N s).” This pause is not a failed collection.

When ready, the same run resumes, delivers rows to the same dataset and finishes as SUCCEEDED if successful. Delivery can report “Resumed: delivering N rows.” Already-delivered rows are skipped rather than delivered or charged twice. No action is needed for this automatic pause.

A run can pause this way at most 3 times. Keep the default 3600-second timeout to reduce interruptions. Other failures or manual aborts are not a promise of automatic recovery.

The synchronous endpoints run-sync and run-sync-get-dataset-items wait at most 300 seconds and can return an empty dataset while a run is paused. For longer collection, start asynchronously and read the dataset after SUCCEEDED, or use an ACTOR.RUN.SUCCEEDED webhook.

Use with AI agents and the API

Apify MCP server

For Claude, ChatGPT, Cursor or VS Code with remote MCP support, add:

https://mcp.apify.com?tools=lentic_clockss/ifood-scraper

Sign in through Apify OAuth, or supply Authorization: Bearer <YOUR_APIFY_TOKEN>. The tool returns run and dataset IDs; read rows with get-dataset-items. Clients without remote support can use:

npx @apify/actors-mcp-server --tools lentic_clockss/ifood-scraper

Set APIFY_TOKEN for that client. Example prompt: “Find three pizza restaurants in São Paulo using iFood Scraper.”

Apify API

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("lentic_clockss/ifood-scraper").call(
    run_input={"searchTerm": "pizza", "citySlug": "sao-paulo-sp", "maxResults": 3}
)
if run["status"] == "SUCCEEDED":
    for row in client.dataset(run["defaultDatasetId"]).iterate_items():
        print(row)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('lentic_clockss/ifood-scraper').call({
  searchTerm: 'pizza', citySlug: 'sao-paulo-sp', maxResults: 3,
});
if (run.status === 'SUCCEEDED') {
  const { items } = await client.dataset(run.defaultDatasetId).listItems();
  console.log(items);
}

SDK calls can return at an automatic pause; do not treat ABORTED as a final dataset. For asynchronous use, send input JSON to POST https://api.apify.com/v2/acts/lentic_clockss~ifood-scraper/runs with an Authorization: Bearer <YOUR_APIFY_TOKEN> header. After success, read GET https://api.apify.com/v2/datasets/<datasetId>/items?format=json.

Integrations

Use the Integrations tab with Google Sheets, Make, Zapier, n8n, Slack, Airtable or webhooks. Use Apify Schedules for recurring runs.

Em português

O iFood Scraper reúne dados públicos de restaurantes e mercados no Brasil, incluindo cardápios, preços e avaliações. Para começar, preencha citySlug com a cidade desejada ou informe merchantUrl para consultar um estabelecimento. Use searchTerm para buscar uma culinária e comece com maxResults igual a 3. Para obter o cardápio, escolha mode como menu; para avaliações, escolha reviews. Cada restaurante, item de cardápio ou avaliação entregue conta como uma linha cobrada, além da taxa de início. Os resultados podem ser exportados para planilhas. A disponibilidade depende da localização e das informações publicadas pelo estabelecimento. Este Actor não é afiliado ao iFood.

FAQ

Is it legal to scrape iFood?

This Actor collects public data. You are responsible for complying with applicable terms and data-protection law. Public availability is not unrestricted permission; personal data needs a lawful basis for your intended use.

Why did my run end as ABORTED?

Check its status message. An automatic-resume message indicates the temporary pause described above. Manual aborts and other errors need separate investigation.

How many results can I get?

Up to maxResults per input, subject to available rows, the run's cost limit and Free-plan caps. A requested limit is not a guaranteed count.

Why are some fields empty?

iFood may omit them for that merchant or location. enrichDetails can request more merchant information but cannot guarantee every field.

Can I collect grocery products?

Use mercado for stores and menu for a selected store's catalog. Grocery catalog items are separate menuItem rows.

Does discovery prove a city or vertical has active merchants?

No. Discovery can include predefined entries. Run a small merchant search to check the location and category you need.

Is an empty-input example free?

No. It requests up to 3 rows and uses the same start and row prices as other runs.

Do I need to configure proxies?

No. You do not need to set up proxies.

Limitations

• Brazil only; coverage depends on location and current iFood availability.
• No guarantee of complete menus, all reviews, every city or every contact field.
• Dish and browse modes need valid identifiers; example placeholders must be replaced.
• Delivery fees, availability and prices can change with location and time.
• Discovery lists are not a live census; some entries are predefined.
• Attribute arrays, such as choices and tags, are limited to 50 entries.
• No automatic translation of search words is configured; use Portuguese terms when possible.

Related scrapers

More food delivery and grocery scrapers from the same publisher:

• Grab Scraper
• PedidosYa Scraper
• Uber Eats Scraper
• Deliveroo Scraper
• Foodora Scraper
• Foodpanda Scraper
• DoorDash Scraper
• Rappi Scraper

Browse all of our scrapers at apify.com/lentic_clockss.

Support

Report problems or request a field through the Issues tab of this Actor's page. Include the run ID and the input you used.