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IndieHackers Product Scraper — Revenue, Founders & Startup Data

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Scrape IndieHackers product directory via Algolia API. Extract startup names, taglines, MRR revenue, followers, platforms, funding type, and more. Perfect for micro-SaaS research, startup acquisition, and indie hacker market analysis.

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Pay per event

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Developer

Matthieu Cast

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8 days ago

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🚀 IndieHackers Product Scraper — MRR, Founders & Startup Data

Scrapez l'annuaire de produits IndieHackers en quelques secondes via leur API Algolia publique. Idéal pour la recherche micro-SaaS, l'acquisition de startups et l'analyse de marché indie.

📊 Données extraites pour chaque produit

Champ	Description
`name`	Nom du produit
`tagline`	Slogan / pitch en une ligne
`description`	Description (500 car. max)
`revenue`	MRR mensuel ($)
`revenueFormatted`	MRR formaté (ex: `$4,200/mo`)
`numFollowers`	Nombre de followers IndieHackers
`websiteUrl`	Site du produit
`url`	Lien direct vers la page produit
`verticals`	Secteurs (ai, saas, ecommerce, crypto...)
`platforms`	Plateformes (web, ios, android, mac...)
`revenueModels`	Modèles de revenus (subscription, ads...)
`funding`	Type de financement (bootstrapped, seed...)
`commitment`	Engagement (side-project, full-time...)
`employeeCount`	Taille d'équipe
`foundersSolo`	Fondateur solo (true/false)
`foundersCode`	Fondateur développeur (true/false)

⚙️ Entrées (Input)

Paramètre	Type	Description
`searchQuery`	string	Filtrer par nom/tagline/mot-clé (vide = tout)
`maxItems`	int (1-1000)	Nombre max de produits (défaut 100)
`minRevenue`	int	Restreindre aux produits avec revenu ≥ ce montant
`maxRevenue`	int	Restreindre aux produits avec revenu ≤ ce montant
`verticals`	array	Filtrer par secteurs (ai, saas, ecommerce, fintech...)
`sortBy`	enum	`revenue` \| `followers` \| `newest` \| `oldest` (défaut revenue)

🧪 Exemple d'usage

{
  "searchQuery": "ai",
  "minRevenue": 1000,
  "maxItems": 50,
  "sortBy": "revenue"
}

💡 Pourquoi cet actor ?

✅ Ultra rapide : API Algolia directe, pas de navigateur (~2 sec)
✅ Zéro blocage : aucune anti-bot, stable à 100%
✅ Économique : coût moyen ≈ $0.0005 par run
✅ Données riches : 16+ champs structurés par produit

🔄 Compatibilité

✅ Acteur compatible Apify (acteur Node 22)
✅ Sortie en dataset JSON standard
✅ Fonctionne avec le proxy Apify (inutile ici, API publique)

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