Fashion Intelligence Bundle

Turn fashion brand, event, retail, and hiring signals into normalized AI-ready records for market monitoring, brand research, lead generation, and competitive watchlists.

This bundle is designed as a pay-per-event product. It should charge per saved fashion intelligence record using Apify's synthetic apify-default-dataset-item event.

Commercial model

The bundle runs as one commercial Actor. Customers should pay for this bundle, not for a stack of hidden child Actors.

To avoid double billing, this Actor does not call paid public Store Actors by default. Brand resolution and web discovery are integrated directly in the bundle. Future calendar, jobs, store, or product sources should be integrated as shared code or explicitly documented internal/free helpers.

The public Actor is published at https://apify.com/runtime/fashion-intelligence-bundle. Build 0.1.2 is tagged as latest.

PPE pricing is scheduled in Apify for 2026-07-09T00:00:00.000Z, because Apify requires pricing changes to be effective at least two weeks in the future. The primary event is apify-default-dataset-item as Fashion intelligence record, priced at $0.10 for Free users, $0.09 for Bronze, $0.08 for Silver, and $0.07 for Gold and above. Actor start is $0.00005.

Current sources

• Direct official-brand-site resolution inside this Actor.
• Direct DuckDuckGo web discovery inside this Actor.
• Optional Brave Search API when provided through BRAVE_SEARCH_API_KEY or braveApiKey.
• Mock mode for smoke tests and integration checks.

Validation status

• Public Actor exists on Apify as runtime/fashion-intelligence-bundle.
• Production build 0.1.2 passed real cloud smoke with 1 accepted Dior brand_site record and officialUrl: run JvSRaWBzqpzoW2O2f, dataset vYpupgWbTRqGyYY5g, usage $0.00027, max memory 58.7 MB.
• 2026-06-25 production recheck passed with 1 accepted Dior brand_site record: run lnkXDuDkEQuFxE7Pf, dataset WasbidHU5DhzZ5ddW, usage $0.00017.
• Dev build 0.1.1 passed the same real cloud smoke: run aeW4ax7eMa7tFjwnF, dataset fabRYFDUcHSn6jK6g, usage $0.00032, max memory 84.8 MB.

Output

Each dataset item includes:

• signalType, workflow, brand, company
• title, url, candidateUrl, officialUrl, domain, description
• socialLinks, confidence, confidenceReasons, negativeSignals, reviewStatus
• location, city, country, season, eventName, date
• source, sourceUrl, sourceQuery, sourcePosition, sourceData, scrapedAt

Dataset views

The Actor defines dataset views for Store examples and published tasks:

• Brands for official brand URLs, domains, confidence, review status, social links, description, source, and scrape timestamp.
• Signals for event, retail, hiring, and web monitoring records with brand, URL, location context, confidence, and review status.
• Evidence for source URLs, queries, candidate URLs, scoring reasons, negative signals, source data, and scrape timestamp.

Example input

{
  "workflow": "brand-official-site-finder",
  "brandName": "Dior",
  "city": "Paris",
  "season": "Spring/Summer 2027",
  "eventName": "Paris Fashion Week",
  "includeBrandResolution": true,
  "includeWebSignals": true,
  "maxCandidatesPerBrand": 3,
  "maxWebSignals": 5,
  "crawlHomepage": true
}

Smoke input

{
  "mockMode": true,
  "maxResults": 2
}

Planned source order

1. Paris Fashion Week calendar source.
2. Curated brand-list source.
3. Luxury hiring source after provider-level smoke tests.
4. Retail footprint source after store locator cost/risk measurement.
5. Ecommerce/product sources only after anti-bot and proxy cost risk is known.