Multi-Site Recipe & Nutrition Data Extractor
Get ingredients, step-by-step instructions, nutrition, ratings, prep/cook time, yield, and images from recipe pages on Epicurious, BBC Good Food, Tasty, NYT Cooking, Serious Eats, Food Network, and thousands of food blogs.
Open in Apify Store$0.99 / 1K on Free
Short answer
Multi-Site Recipe & Nutrition Data Extractor is an Apify Store Actor that returns 8 published output fields, including name, platform, ratingValue, ratingCount. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 13 input settings; one is required (mode). Last updated Nov 12, 2026.
From the public Store listing and published build schema, synced 2026-11-13.What it returns
8 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.
nameplatformratingValueratingCounttotalTimeMinutesrecipeYieldnutritionurl
Input
| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| mode | string | Yes | search | How to find recipes. Search by keyword is the simplest; URL and sitemap modes are best when you already know the pages. |
| searchQuery | string | No | banana bread | What to search for, e.g. `banana bread`, `vegan dinner`, or `chicken curry`. |
| site | string | No | all | Pick one site, or `all` to search every supported site. Search coverage varies by site; unsupported sites still work in byUrls/bySitemap modes. |
| recipeUrls | array | No | ["https://www.epicurious.com/recipes/food/vie… | Direct recipe-page URLs from any supported site or food blog. AllRecipes URLs are rejected as unsupported. |
| listingUrls | array | No | [] | Category, tag, or search-result pages. The actor extracts recipe links and follows page 2, 3, … where the site exposes a page parameter. |
| sitemapUrls | array | No | [] | Sitemap.xml URLs. The actor walks sitemap indexes and keeps recipe-looking URLs. |
| maxItems | integer | No | 50 | Hard cap on emitted recipe records. |
| maxPages | integer | No | 2 | For search and listing modes, how many result pages to read per site or listing URL. |
| minRating | integer | No | – | Drop recipes with a rating below this value on a 0–500 scale (400 = 4.0/5). |
| minRatingCount | integer | No | – | Drop recipes with fewer ratings than this. |
Show the other 3 settings
| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| maxTotalTimeMinutes | integer | No | – | Drop recipes whose prep + cook time exceeds this many minutes. |
| keywordIncludes | string | No | – | Drop recipes whose name and description do not contain this keyword. |
| proxy | object | No | {"useApifyProxy":false} | No proxy is needed for the supported sites. Enable Apify Proxy only if you want to route requests through your own Apify proxy groups. |
Example input
Built from the input form's published example values and defaults.
{
"mode": "byUrls",
"searchQuery": "banana bread",
"site": "epicurious",
"recipeUrls": [
"https://www.epicurious.com/recipes/food/views/banana-bread"
],
"listingUrls": [],
"sitemapUrls": [],
"maxItems": 1,
"maxPages": 1,
"proxy": {
"useApifyProxy": false
}
} Run it from code or an AI agent
The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.
Python
from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
"mode": "byUrls",
"searchQuery": "banana bread",
"site": "epicurious",
"recipeUrls": [
"https://www.epicurious.com/recipes/food/views/banana-bread"
],
"listingUrls": [],
"sitemapUrls": [],
"maxItems": 1,
"maxPages": 1,
"proxy": {
"useApifyProxy": False
}
}
run = client.actor("vexaloom-labs/multi-site-recipe-and-nutrition-data-extractor").call(run_input=run_input)
if run is None:
raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item) pip install apify-client
JavaScript
import { ApifyClient } from "apify-client";
const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
"mode": "byUrls",
"searchQuery": "banana bread",
"site": "epicurious",
"recipeUrls": [
"https://www.epicurious.com/recipes/food/views/banana-bread"
],
"listingUrls": [],
"sitemapUrls": [],
"maxItems": 1,
"maxPages": 1,
"proxy": {
"useApifyProxy": false
}
};
const run = await client.actor("vexaloom-labs/multi-site-recipe-and-nutrition-data-extractor").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items); npm install apify-client
cURL
curl -X POST "https://api.apify.com/v2/actors/vexaloom-labs~multi-site-recipe-and-nutrition-data-extractor/run-sync-get-dataset-items" -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" -d '{"mode":"byUrls","searchQuery":"banana bread","site":"epicurious","recipeUrls":["https://www.epicurious.com/recipes/food/views/banana-bread"],"listingUrls":[],"sitemapUrls":[],"maxItems":1,"maxPages":1,"proxy":{"useApifyProxy":false}}' Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).
MCP (AI agents)
{
"mcpServers": {
"apify": {
"url": "https://mcp.apify.com?tools=vexaloom-labs/multi-site-recipe-and-nutrition-data-extractor",
"headers": {
"Authorization": "Bearer <YOUR_APIFY_TOKEN>"
}
}
}
} Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.
What a run costs
The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.
| Apify plan | Per 1,000 | 10,000 results | 100,000 results |
|---|---|---|---|
| Free plan | $0.99 | $9.90 | $99 |
| Starter plan | $0.82 | $8.20 | $82 |
| Scale plan | $0.66 | $6.60 | $66 |
| Business plan | $0.49 | $4.90 | $49 |
- Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
- The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
- Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
- Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.
What people use it for
- recipe and nutrition extraction
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Questions people ask
How much does Multi-Site Recipe & Nutrition Data Extractor cost?
The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.
What data does Multi-Site Recipe & Nutrition Data Extractor return?
Its published output schema lists 8 fields: name, platform, ratingValue, ratingCount, totalTimeMinutes, recipeYield, nutrition, url. A listed field is not guaranteed to be filled in every row.
What input does Multi-Site Recipe & Nutrition Data Extractor need?
Required: mode. Optional settings include searchQuery, site, recipeUrls, listingUrls, sitemapUrls, maxItems.
How do I run Multi-Site Recipe & Nutrition Data Extractor from Python or the API?
Use the Apify API client: in Python, ApifyClient(token).actor("vexaloom-labs/multi-site-recipe-and-nutrition-data-extractor").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("vexaloom-labs/multi-site-recipe-and-nutrition-data-extractor").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/vexaloom-labs~multi-site-recipe-and-nutrition-data-extractor/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.
Sources
- Multi-Site Recipe & Nutrition Data Extractor on Apify Store
- Published build with input and output schema (JSON)
Cite this page
Scraper Finder. "Multi-Site Recipe & Nutrition Data Extractor." https://scraperfinder.com/catalogue/multi-site-recipe-and-nutrition-data-extractor/ (data checked 2026-11-13).
Run Multi-Site Recipe & Nutrition Data Extractor
$0.99 per 1,000 results. Paste the example input above, set your target query, then export the dataset.