Google Shopping Germany Scraper

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Google Shopping Germany Scraper

Scrape Google Shopping Germany (google.de) for product listings with prices, ratings, reviews, and merchant details — no account or cookies needed. Built-in marketplace filtering surfaces D2C brands by excluding Amazon, eBay, Otto, and other aggregators.

Key Highlights

• 🇩🇪 Focused exclusively on the German market — google.de with hl=de, gl=de, and EUR pricing
• 🚫 Built-in marketplace exclusion filters out Amazon, eBay, Otto, Zalando, and price comparison sites automatically
• 🔍 Multi-query support — run dozens of search keywords in a single execution
• ⭐ Extracts review scores, review counts, and sponsored/organic classification for every product
• 🧹 Automatic deduplication removes repeat merchant domains across queries
• 💰 Price range filtering lets you target specific market segments (min/max EUR)
• 📦 Export to JSON, CSV, or Excel with one click from the Apify dataset

What data does it extract?

Each product in the output dataset includes the following fields:

• Product info: title, price, currency (EUR), imageUrl
• Reviews: reviewsCount (number of reviews), reviewsScore (star rating out of 5.0)
• Merchant info: source, merchantName
• Search context: query (original search keyword), isSponsored (paid listing flag)

Results are stored in an Apify dataset and can be downloaded as JSON, CSV, or Excel.

Use Cases

D2C Brand Discovery: Identify independent, direct-to-consumer brands selling on Google Shopping Germany by filtering out major marketplaces and aggregators.

Price Monitoring: Track product prices across German merchants for specific keywords over time. Use price range filters to focus on your target segment.

Competitor Research: Analyze which merchants appear for your product keywords, whether they use sponsored placements, and how their ratings compare.

Market Analysis: Understand product availability, pricing distribution, and merchant landscape for any product category in the German e-commerce market.

Lead Generation: Build lists of D2C brand websites and merchant domains from Google Shopping results for sales outreach and partnership opportunities.

How to Use

1. Open the Actor in Apify Console and click Start.
2. Enter your search keywords in the Search Queries field (e.g., "feuchtigkeitscreme", "vitamin c serum").
3. Optionally adjust Excluded Merchants and Exclusion Keywords to fine-tune filtering.
4. Set Max Pages per Query (1–10) depending on how many results you need (~10 products per page).
5. Click Start and wait for the run to complete — most runs finish in under 2 minutes.
6. Download your results from the Dataset tab as JSON, CSV, or Excel.

Input Parameters

Output Sample

[
{
"title":"Neutrogena Hydro Boost Aqua Creme",
"price":8.79,
"currency":"EUR",
"reviewsCount":3428,
"reviewsScore":4.7,
"source":"apodiscounter.de",
"merchantName":"apodiscounter.de",
"merchantUrl":null,
"productUrl":null,
"imageUrl":null,
"query":"feuchtigkeitscreme",
"isSponsored":true
},
{
"title":"Caudalie VinoHydra Intensive Feuchtigkeitscreme",
"price":19.99,
"currency":"EUR",
"reviewsCount":3125,
"reviewsScore":4.7,
"source":"Douglas.de",
"merchantName":"Douglas.de",
"merchantUrl":null,
"productUrl":null,
"imageUrl":null,
"query":"feuchtigkeitscreme",
"isSponsored":false
}
]

Pricing

This is a free Actor — you only pay for Apify platform usage (compute and proxy). A typical run scraping 3 queries × 3 pages costs approximately $0.01–$0.05 in platform credits.

The Apify free tier includes $5 of monthly credits, which is enough for hundreds of scraping runs.

Technical Notes

• No account, login, or cookies required
• Uses the GOOGLE_SERP proxy group (German residential IPs)
• Targets Google Shopping Germany specifically: google.de with hl=de and gl=de parameters
• German market focus with EUR pricing and DE merchant results
• Built on CheerioCrawler for fast, lightweight HTML parsing
• Data is scraped live from Google Shopping on every run — always up to date
• Skipped items (excluded merchants, duplicates, price out of range) are logged to the SKIPPED_ITEMS_LOG key-value store for debugging

Integrations

• Export formats: Download results as JSON, CSV, or Excel directly from the Apify dataset tab
• REST API: Access results programmatically via the Apify API for automated workflows
• Automation platforms: Connect to Make, Zapier, or n8n through Apify's built-in integrations

Support

Have questions or found a bug? Reach out:

• Email: ScrapySpider@protonmail.com
• Website: ScrapySpider.com
• Apify: Open an issue on this Actor's page
• Response time: Within 24–48 hours on weekdays