Fragrantica Designer Perfume Scraper

Extract and collect structured perfume data from Fragrantica designer pages in a fast, reliable, automated way. Gather fragrance listings, ratings, reviews, popularity signals, and localized perfume links into a clean dataset for research, analysis, and monitoring. Built for fragrance catalog teams, market intelligence workflows, and competitive tracking.

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Features

• Designer-focused extraction — Collect perfume listings from designer pages like Zara, Dior, Chanel, and more.
• Clean structured records — Get normalized fields for names, URLs, IDs, release years, ratings, and review counts.
• Extended popularity metrics — Gather multiple popularity and pageview signals for deeper analysis.
• Flattened locale links — Receive locale URL fields such as url_en, url_de, and locale review counters.
• Pagination handling — Automatically continues through available pages until your results_wanted target is reached.
• Duplicate-safe output — Prevents duplicate perfume records and removes empty/null values before saving.

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Use Cases

Fragrance Catalog Management

Build and refresh internal perfume catalogs from designer pages without manual copy-paste. Keep records searchable and consistently formatted for product and content teams.

Market Research

Track brand portfolio size, release timelines, and community engagement indicators. Compare how strongly different fragrances perform across reviews and rating signals.

Competitive Intelligence

Benchmark multiple designer pages to identify high-interest launches and strong performers. Use collected data to spot positioning differences between fragrance brands.

Trend Monitoring

Monitor recurring popularity patterns and new releases over time. Feed ongoing runs into dashboards for weekly or monthly fragrance trend reporting.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	Yes	https://www.fragrantica.com/designers/Zara.html	Fragrantica designer page URL to start extraction.
results_wanted	Integer	No	20	Maximum number of perfume records to collect.
proxyConfiguration	Object	No	{"useApifyProxy": false}	Optional proxy settings for higher-volume or restricted environments.

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Output Data

Each dataset item contains structured perfume and designer information.

Field	Type	Description
designer_name	String	Designer or brand name.
designer_url	String	Source designer page URL.
designer_parent_company	String	Parent company when available.
designer_slug	String	Designer slug value.
designer_is_niche	String	Niche marker when available.
designer_is_celebrity	String	Celebrity marker when available.
designer_is_natural_perfumery	String	Natural perfumery marker when available.
designer_total_perfumes	Number	Total perfumes found for the designer.
designer_first_year	Number	Earliest detected perfume year.
designer_latest_year	Number	Latest detected perfume year.
perfume_name	String	Perfume name.
perfume_url	String	Canonical perfume URL.
perfume_id	Number	Perfume identifier.
image_url	String	Perfume image URL.
year	Number	Release year when available.
gender	String	Gender label.
reviews_count	Number	Primary review count.
rating_value	Number	Rating value.
rating_rounded	Number	Rounded rating bucket.
popularity_score	Number	Overall popularity score.
recent_popularity_score	Number	Recent popularity signal.
source_index	String	Source collection identifier.
source_page	Number	Source page number for the item.
source_object_id	String	Source object identifier.
perfume_slug	String	Perfume slug value.
collection	String	Collection name when present.
group_id	Number	Group identifier when present.
pageviews_7d	Number	7-day pageview signal.
pageviews_30d	Number	30-day pageview signal.
pageviews_90d	Number	90-day pageview signal.
popularity_compound_score	Number	Compound popularity metric.
url_*	String	Flattened locale URLs (for example url_en, url_fr).
reviews_*	Number	Flattened locale review counts (for example reviews_en, reviews_fr).

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Usage Examples

Basic Extraction

{
  "startUrl": "https://www.fragrantica.com/designers/Zara.html",
  "results_wanted": 20
}

Larger Collection Run

{
  "startUrl": "https://www.fragrantica.com/designers/Zara.html",
  "results_wanted": 100
}

Proxy-Assisted Run

{
  "startUrl": "https://www.fragrantica.com/designers/Zara.html",
  "results_wanted": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

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Sample Output

{
  "designer_name": "Zara",
  "designer_url": "https://www.fragrantica.com/designers/Zara.html",
  "designer_parent_company": "Inditex",
  "designer_slug": "Zara",
  "perfume_name": "Sunrise On The Red Sand Dunes",
  "perfume_url": "https://www.fragrantica.com/perfume/Zara/Sunrise-On-The-Red-Sand-Dunes-79102.html",
  "perfume_id": 79102,
  "image_url": "https://fimgs.net/mdimg/perfume/m.79102.jpg",
  "year": 2023,
  "gender": "male",
  "reviews_count": 304,
  "rating_value": 4.288,
  "rating_rounded": 4,
  "popularity_score": 15394,
  "recent_popularity_score": 6320,
  "source_index": "fragrantica_perfumes",
  "source_page": 1,
  "source_object_id": "79102",
  "perfume_slug": "Zara/Sunrise-On-The-Red-Sand-Dunes",
  "collection": "Men's Collection 2023",
  "group_id": 23,
  "pageviews_30d": 31062,
  "url_en": "https://www.fragrantica.com/perfume/Zara/Sunrise-On-The-Red-Sand-Dunes-79102.html",
  "reviews_en": 304,
  "designer_total_perfumes": 1201,
  "designer_first_year": 2012,
  "designer_latest_year": 2025
}

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Tips for Best Results

Use Valid Designer URLs

• Use URLs matching /designers/Brand-Name.html.
• Start with a known working designer page before scaling.

Scale Gradually

• Begin with results_wanted: 20 for validation.
• Increase to 100 or higher after confirming output quality.

Work with Locale Fields

• Locale fields are flattened (url_*, reviews_*) for easier filtering.
• Keep these fields in downstream exports for multi-language analysis.

Use Proxy When Needed

• Enable proxy settings for larger runs or restricted environments.
• Keep your run configuration consistent across scheduled jobs.

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Proxy Configuration

{
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

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Integrations

Connect the output dataset with:

• Google Sheets — Share and review fragrance records with non-technical teams.
• Airtable — Build searchable fragrance databases with custom views.
• Make — Trigger automated post-processing flows after each run.
• Zapier — Send records into CRM, alerts, and business workflows.
• Webhooks — Deliver fresh data directly into your own systems.

Export Formats

• JSON — Best for APIs and engineering pipelines.
• CSV — Best for spreadsheet workflows.
• Excel — Best for business reporting.
• XML — Useful for structured enterprise integrations.

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Frequently Asked Questions

What pages are supported?

Designer pages on Fragrantica are supported. Use a designer URL as startUrl.

Can I collect more than 30 results?

Yes. Pagination is handled automatically, and the actor keeps collecting until results_wanted is reached or data is exhausted.

Can I collect 100+ records in one run?

Yes. Set results_wanted to 100 (or higher) and the actor will continue across source pages.

Are locale URLs flattened in output?

Yes. Locale URLs and locale review counters are provided as flat fields like url_en and reviews_en.

Will empty values be stored?

No. Empty and null-like values are removed before items are saved to the dataset.

How can I reduce blocked runs?

Use proxyConfiguration, keep input URLs valid, and start with smaller validation runs.

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Support

For issues or feature requests, use the Apify Console issue/support channels for this actor.

Resources

• Apify Documentation
• Apify API Reference
• Apify Scheduling

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Legal Notice

This actor is intended for legitimate data collection and analysis workflows. You are responsible for complying with website terms, local laws, and applicable data-use policies.