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Herold.at Scraper

Turn Herold.at into a clean, ready-to-use Austrian business leads and company intelligence dataset.

This actor is built for agencies, analysts, and automation workflows that need high-quality Austrian business data — including emails, phone numbers, addresses, opening hours, services, reviews, and trust signals - extracted reliably in one streamlined process.

Prefer usage-based pricing for smaller or variable workloads, or per-client billing?
For pay-per-result pricing without a monthly commitment, see the Herold.at Scraper (Pay per Result) version.

🚀 Built for agencies & recurring workflows

The Herold.at Scraper focuses on depth, reliability, and predictable operation, making it a strong fit for agency use cases, CRM enrichment, and automated pipelines.

• One company = one row Each Herold.at listing is emitted once and deduplicated automatically, ensuring clean datasets even across large or repeated runs.

• Rich contact information Emails, phone numbers, websites, addresses, and opening hours are extracted wherever available — ideal for lead generation and enrichment.

• Deep company profiles Extracts services, industries, reviews, payment methods, awards, images, and detailed company metadata when present.

• No hard page limits The scraper automatically paginates through all available results and stops when the directory is exhausted.

• Built for unattended runs Error-resilient by design: malformed listings are logged and skipped without interrupting the run.

• Clean exports by default Works out of the box with CSV, Excel, JSON, XML, and Apify’s table view.

🎯 Typical use cases

• Austrian Lead Generation – Build business lead lists by category and location
• Sales & Marketing – Extract verified contact data for outreach campaigns
• Market & Competitor Research – Analyze services, reviews, and positioning
• CRM & Data Enrichment – Augment existing records with authoritative Herold.at data
• Automation Agencies – Integrate Herold.at data into recurring pipelines

⚙️ Input

Example:

{
"query":"Restaurant",
"location":"Wien",
"openedNow":true
}

📦 Output: rich, structured business data

Each dataset row represents one Herold.at company listing with strictly typed, schema-validated fields. The output works both as a flat table for spreadsheets and CRMs, and as a rich nested structure for integrations and automations.

⭐ Commonly used fields

• name
• email
• phone
• website
• address
• rating, reviews.total
• industries, services
• openingHours

📘 Detailed output schema (high-level)

Below is a structured overview of the available data groups. Many fields are optional because availability varies by listing type.

🔹 Identification & trust

• Stable listing ID and profile URL
• Verification status and awards
• Aggregated ratings and review counts

🔹 Location & contact

• Structured address data
• Primary and additional contact channels
• Opening hours and operational notes

🔹 Reviews & reputation

• Full review texts and metadata
• Per-category ratings
• Owner responses (when available)

🔹 Business details

• Industries and services
• Payment methods
• Company metadata (founding year, employee count, register ID)

🔹 Media & enrichment

• Images and logos
• Social accounts and external links

🔹 Multi-location companies

• Additional branch locations with individual addresses

🛡️ Reliability & schema guarantees

• Strongly typed, schema-validated output
• Automatic recovery from malformed or partial listings
• Safe to stop and restart without duplicating results
• Continues scraping even when individual fields are missing

If Herold.at changes its structure or introduces new fields, the scraper continues to run and logs the change for review.

👥 Target audience

This scraper is designed for:

• Agencies & Sales Teams – Generate Austrian business leads with rich contact data
• Business Analysts & Researchers – Collect structured market data
• Competitor Intelligence – Track services, reviews, and positioning at scale
• Automation Builders – Integrate Herold.at data into recurring workflows

💬 Support

Questions, edge cases, or feature requests?

Open a support ticket or attach a failing run log — we’ll take care of it.