Chefkoch.de Rezepte Listing Scraper
This Chefkoch.de Rezepte Listing Scraper turns Chefkoch.de search result pages into a structured CSV for recipe research, food trend tracking, content planning, and directory analysis. Import the template into the UScraper local desktop app, run the bundled listing loop, and export recipe titles, URLs, ratings, review counts, images, time, difficulty, intro text, keyword, and page number without writing a Chefkoch API integration.
CSV
11
2 URLs
7
Free
At a glance
Export Chefkoch recipes from listing pages
Use this template when you need Chefkoch to CSV from search/listing pages rather than full recipe instructions. It is designed for datasets such as "which salad recipes appear for a keyword?", "which listings have ratings?", or "which URLs should a researcher review next?".
The automation is intentionally straightforward: Navigate opens each configured Chefkoch.de listing URL, page-load and element waits give the site time to render, a short preparation step tags unique recipe links, Structured Export writes the selected card fields, and Loop Continue advances to the next URL. That makes the workflow easy to audit and easier to repair if Chefkoch.de changes its layout.
Listing data in fixed columns
Export titles, recipe URLs, rating signals, review counts, image links, time, difficulty, and listing-page context into a spreadsheet-ready CSV.
Pagination by configured URLs
The template ships with two Salat pages and can be extended by adding more Chefkoch.de search result URLs to the Navigate block.
Local desktop workflow
The browser run and CSV write happen on your machine; the template does not send exported recipe listing rows to UScraper servers.
Research-first capture
Built for listing intelligence, URL collection, and recipe catalog review. Use a detail scraper only when you need ingredients or instructions.
Who uses it
Built for recipe research and content teams
Food publishers can export Chefkoch recipes from search listings to compare topic coverage, spot highly rated recipe formats, and plan German-language content calendars. SEO teams can collect title and URL inventories for categories such as salads, bread, or seasonal dishes before deciding which pages need manual review.
Data teams can use the CSV as a queue for downstream enrichment: run the listing scraper first, deduplicate rezept_url, then feed approved URLs into a separate recipe detail workflow. If you need broader scraping patterns, compare this page with the Universal Content Scraper, HTML Scraper, and Just Eat Restaurant Listing Scraper templates.
How to use
Run the Chefkoch data extractor
Download and import
Download the hosted JSON template from the page CTA or the template link, then import it into UScraper.
Configure listing URLs
Replace or extend the Navigate URLs with Chefkoch.de result pages such as /rs/s0/salat/Rezepte.html and /rs/s1/salat/Rezepte.html.
Check the export path
Structured Export writes chefkochde-rezepte-listing-scraper.csv with headers and append mode. Change the folder before running team batches.
Run the workflow
UScraper navigates, waits for recipe links, tags unique listing rows, exports structured data, and loops through the configured URL list.
Open the CSV
Validate row counts, check a few rezept_url values manually, and remove duplicate or empty rows before analysis.
Automation path inside the template
- 1
Navigate
Opens each Chefkoch.de listing page supplied in the Navigate URL list.
- 2
Waits
Waits for page load, a short settle time, and visible recipe links before export.
- 3
Prepare rows
Marks unique recipe anchors so duplicate card links do not become duplicate rows.
- 4
Export and loop
Appends structured columns to CSV, then continues to the next configured URL.
Output preview
What the CSV export includes
chefkochde-rezepte-listing-scraper.csvColumn
schluesselwort
Keyword parsed from the Chefkoch.de listing URL.
Column
suchergebnisse
Total search result count when the page exposes it.
Column
image_url
Recipe card image source.
Column
kundenbewertung
Visible rating value.
Column
anzahl_der_bewertungen
Review count from the listing card.
Column
titel
Recipe title or image alt fallback.
Column
rezept_url
Canonical recipe detail URL from the card.
Column
zeitaufwand
Visible preparation time.
Column
schwierigkeitsgrad
Difficulty label such as einfach or normal.
Column
vorstellung
Intro or teaser text when present.
Column
aktuelle_seite
Current listing page number.
| schluesselwort | suchergebnisse | kundenbewertung | anzahl_der_bewertungen | titel | rezept_url | zeitaufwand | schwierigkeitsgrad | aktuelle_seite |
|---|---|---|---|---|---|---|---|---|
| salat | 12.345 | 4.7 | 238 | Bunter Sommersalat | https://www.chefkoch.de/rezepte/123456/bunter-sommersalat.html | 20 Min. | einfach | 1 |
| salat | 12.345 | 4.5 | 91 | Kartoffelsalat klassisch | https://www.chefkoch.de/rezepte/234567/kartoffelsalat-klassisch.html | 45 Min. | normal | 1 |
| salat | 12.345 | 4.8 | 154 | Nudelsalat mit Gemuese | https://www.chefkoch.de/rezepte/345678/nudelsalat-gemuese.html | 30 Min. | simpel | 2 |
Comparison
Local CSV workflow vs hosted recipe scrapers
UScraper template
Local CSVHosted scraper platforms
CloudCSV on your machine
Structured Export writes directly to the folder you choose.
Platform dataset
Rows usually live in a cloud run history before export.
Editable workflow blocks
Change URLs, waits, columns, and file mode in the desktop app.
Actor or template settings
Convenient, but lower-level extraction logic may be hidden.
Free template import
Use with the current UScraper desktop app plan.
Usage billing
Many hosted options meter runs, rows, or compute time.
FAQ and limits
Frequently asked questions
Get Started
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What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
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