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Rewe Product Scraper

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from $9.00 / 1,000 results

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Rewe Product Scraper

Rewe Product Scraper

Extract detailed recipe data from REWE's website via keyword-based search. Captures titles, images, ratings, difficulty, and tags for market research and content aggregation. Features proxy support, pagination control, and reliable PlaywrightCrawler for scalable, structured JSON output.

Pricing

from $9.00 / 1,000 results

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0.0

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Developer

GetDataForMe

GetDataForMe

Maintained by Community

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2

Total users

1

Monthly active users

15 days ago

Last modified

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The Rewe Product Scraper is a powerful Apify Actor designed to extract detailed recipe data from REWE's website efficiently and reliably. It allows users to search for recipes based on keywords, scrape comprehensive information including titles, images, ratings, and more, making it ideal for data-driven insights into culinary trends. Whether you're conducting market research or aggregating content, this tool delivers high-quality, structured data with minimal setup.

Features

  • Keyword-Based Search: Easily scrape recipes by entering specific search terms like "Fleisch" or "Vegan".
  • Comprehensive Data Extraction: Captures essential details such as recipe titles, images, difficulty levels, total time, ratings, and tags.
  • Proxy Support: Utilizes residential proxies to avoid IP blocks and ensure smooth, undetected scraping.
  • Pagination Control: Set maximum pages to scrape, allowing for targeted data collection without overwhelming resources.
  • Structured Output: Delivers clean JSON data, perfect for integration with databases or analytics tools.
  • High Reliability: Built on PlaywrightCrawler for robust handling of dynamic web content.
  • Fast and Scalable: Processes multiple pages quickly, supporting large-scale data extraction projects.

Input Parameters

ParameterTypeRequiredDescriptionExample
searchKeywordstringYesThe keyword to search for recipes on REWE's site."Fleisch"
proxyConfigurationobjectNoConfigures proxy settings to mask the scraper's origin and avoid blocks.{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}
MaxPagesnumberNoLimits the number of pages to scrape per keyword for controlled data volume.10

Example Usage

Input JSON

{
"searchKeyword": "Fleisch",
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": ["RESIDENTIAL"]
},
"MaxPages": 5
}

Output JSON

[
{
"searchTerm": "Fleisch",
"recipeId": "blt7e515877c1583c8a",
"urlName": "linsensuppe",
"title": "Linsensuppe",
"imageUrl": "https://c.rewe-static.de/35348639/1/35348639.png",
"youtubeId": "ko9dVkl2l04",
"tags": [
"Vegetarisch",
"Vegan",
"Laktosefrei",
"Kalorienarm"
],
"difficulty": 1,
"totalTime": 55,
"isRecipeOfTheDay": false,
"detailUrl": "https://www.rewe.de/rezepte/linsensuppe/",
"loggedIn": false,
"favored": false,
"hasOfferedIngredient": false,
"icid": "",
"hasIngredientReweBonus": false,
"aggregatedRating": {
"recipeId": "blt7e515877c1583c8a",
"averageRating": 3.772152,
"totalNumberOfRatings": 79
},
"imageSizesConfig": null,
"scrapedAt": "2025-11-17T05:56:20.752Z"
}
]

Use Cases

  • Market Research: Analyze popular recipes and trends to inform product development in the food industry.
  • Competitive Intelligence: Monitor REWE's recipe offerings to compare with competitors.
  • Price Monitoring: Track ingredient availability and related recipes for pricing strategies.
  • Content Aggregation: Build databases of recipes for blogs, apps, or meal planning services.
  • Academic Research: Study dietary patterns and nutritional data from recipe metadata.
  • Business Automation: Automate data feeds for e-commerce platforms or recommendation engines.

Installation and Usage

  1. Search for "Rewe Product Scraper" in the Apify Store
  2. Click "Try for free" or "Run"
  3. Configure input parameters
  4. Click "Start" to begin extraction
  5. Monitor progress in the log
  6. Export results in your preferred format (JSON, CSV, Excel)

Output Format

The Actor outputs an array of JSON objects, each representing a scraped recipe. Key fields include searchTerm (the keyword used), recipeId (unique identifier), title (recipe name), imageUrl (link to image), tags (array of dietary labels), difficulty (numeric level), totalTime (in minutes), aggregatedRating (object with average and count), and scrapedAt (timestamp). This structure ensures easy parsing and integration.

Support

For custom/simplified outputs or bug reports, please contact:

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