We extract recipes, ingredient lists, prep times, nutritional macros, and user reviews from Taste of Home. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Recipes objects from tasteofhome.com. All fields typed and schema-versioned.
"recipe_id": "toh_84921", "title": "Classic Chicken Potpie", "author": "Taste of Home Test Kitchen", "prep_time": "25 mins", "cook_time": "40 mins", "total_time": "65 mins", "yield": "6 servings", "rating": 4.8, "review_count": 412
| # | recipe_id | url | title | author | prep_time | cook_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Ingredients & Nutrition objects from tasteofhome.com. All fields typed and schema-versioned.
"recipe_id": "toh_84921", "ingredient_raw": "2 cups diced cooked chicken", "ingredient_name": "cooked chicken", "quantity": 2.0, "unit": "cups", "calories": 450, "fat_g": 22, "protein_g": 28
| # | recipe_id | ingredient_raw | ingredient_name | quantity | unit | calories |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Complete list of extractable fields for Reviews & Ratings objects from tasteofhome.com. All fields typed and schema-versioned.
"review_id": "rev_99214", "recipe_id": "toh_84921", "user_name": "SarahM1985", "rating": 5, "review_date": "2023-11-12", "review_text": "Family loved this. I added extra peas and carrots.", "helpful_votes": 14, "verified_cook": true
| # | review_id | recipe_id | user_name | rating | review_date | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Authors & Contributors objects from tasteofhome.com. All fields typed and schema-versioned.
"author_id": "auth_104", "name": "Jane Doe", "profile_url": "https://www.tasteofhome.com/author/jane-doe/", "location": "Milwaukee, WI", "recipe_count": 47, "join_date": "2018-04-01", "social_links": "['instagram.com/janecooks']"
| # | author_id | name | profile_url | bio | recipe_count | location |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Categories & Collections objects from tasteofhome.com. All fields typed and schema-versioned.
"collection_id": "col_552", "title": "50 Best Thanksgiving Sides", "category_path": "Holidays > Thanksgiving > Side Dishes", "url": "https://www.tasteofhome.com/collection/thanksgiving-sides/", "recipe_count": 50, "publish_date": "2023-10-15", "hero_image": "https://www.tasteofhome.com/wp-content/uploads/thanksgiving.jpg"
| # | collection_id | title | description | url | recipe_count | category_path |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Taste of Home scraper navigates ad-heavy layouts, infinite-scroll categories, and variable recipe schemas to deliver clean, normalised food data ready for your application.
Capture titles, descriptions, prep/cook times, yield, author details, and category tags for every recipe.
Extract raw ingredient strings and map them into structured quantity, unit, and ingredient name fields.
Parse numbered cooking instructions, preserving order and formatting for application display.
Extract calories, fat, carbohydrates, protein, sodium, and fibre metrics per serving.
Scrape star ratings, review text, dates, and helpful votes across all paginated review sections.
Track recipe placement across site categories, holiday collections, and meal-type groupings.
Extract high-resolution hero images, step-by-step gallery photos, and embedded video URLs.
Bypass aggressive ad injections and dynamic layout shifts to reliably locate recipe JSON-LD and HTML nodes.
Monitor for new recipe publications, updated instructions, or new user reviews, delivering only the diffs.
Brief in. Clean data out.
Provide category URLs, search terms, or request a full site crawl. We design the extraction schema.
We configure Scrapy / Playwright crawlers, proxy rotation, and DOM parsing logic for Taste of Home.
Schema validation, null-rate checks, and ingredient string normalisation tests before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Modern recipe sites use complex DOM structures, heavy ad networks, and bot protection. Here is how we ensure reliable extraction.
Recipe sites often implement Schema.org Recipe markup, but it is frequently incomplete. We use LD+JSON as a primary source and fall back to complex XPath/CSS selectors to capture missing nutritional data or unformatted instructions.
Taste of Home relies heavily on programmatic advertising, which shifts the DOM structure randomly. Our Playwright sessions block ad domains at the network level, stabilising the page layout for reliable selector execution.
Category pages and search results use infinite scroll and dynamic loading. We execute JavaScript to trigger lazy-loaded endpoints, ensuring complete catalogue coverage without missing hidden recipes.
Media sites employ bot protection to prevent scraping of their proprietary content. We route requests through US residential IPs with realistic browser fingerprints to maintain uninterrupted access.
Raw ingredient strings ('1-1/2 cups finely chopped white onion') are notoriously difficult to query. We extract the raw string and provide regex-parsed fields for quantity, unit, and core ingredient.
App developers populate their databases with categorised recipes, prep times, and structured ingredient lists.
Health platforms aggregate macro and micronutrient data across thousands of recipes to build dietary recommendation engines.
Machine learning teams use structured recipe instructions and ingredient pairings to train generative food AI models.
Grocery delivery services map extracted ingredient strings to their product catalogues for one-click recipe shopping.
CPG brands track ingredient popularity, trending recipes, and seasonal flavour profiles based on review velocity.
Food bloggers and media companies analyse recipe categories, rating distributions, and keyword usage to guide content creation.
"Taste of Home holds decades of structured culinary knowledge, but extracting clean ingredient vectors and nutritional profiles requires dedicated pipeline infrastructure."
Parsing recipe data looks simple until you encounter unstandardised ingredient strings, nested DOM structures hidden behind aggressive ad units, and infinite-scroll category pages. DataFlirt handles the extraction, normalisation, and bot mitigation so your engineering team receives clean, queryable food data ready for production use.
Everything supported by our tasteofhome.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and retry logic. Playwright handles JavaScript rendering and ad-domain blocking to stabilise the DOM.
We maintain pools of residential proxies. Rotation happens per-request to bypass bot-protection systems on media sites.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About tasteofhome.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available recipe and review data is generally permissible. DataFlirt targets only public, non-authenticated content. We do not extract personal user data or bypass magazine subscription paywalls. Clients should consult their legal counsel regarding copyright implications of republishing recipe instructions.
Taste of Home uses aggressive programmatic advertising that alters the DOM and slows down page loads. We use Playwright with network interception to block known ad-serving domains, which speeds up extraction and stabilises the HTML structure.
We provide both. You receive the raw ingredient string (e.g., '1 cup diced carrots') as well as parsed fields separating the quantity ('1'), unit ('cup'), and ingredient name ('diced carrots') to make the data immediately queryable.
We can run full site crawls weekly or configure targeted pipelines to monitor specific categories daily for new recipe additions and updated reviews.
Yes. Where provided by Taste of Home, we extract the complete nutritional profile per serving, including calories, fat, carbohydrates, protein, fibre, and sodium.
Yes. We extract all paginated user reviews, including the star rating, review text, username, date, and helpful vote counts.
We extract the direct URLs to the highest-resolution images available on the page. We do not host the image files, but provide the links so your system can download or reference them.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off extraction of 50,000 recipes or a continuous feed of new culinary content - we scope, build, and operate the pipeline. Tell us what you need.
