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Frequently Asked Questions

Everything you need to know about WPFlood WordPress datasets, theme and plugin intelligence, export structures, and pay-as-you-go pricing.

What is WPFlood?

WPFlood is a specialized WordPress intelligence platform that scans, identifies, and categorizes live WordPress installations worldwide. It provides deep visibility into active themes, installed plugins, WordPress core versions, and website tech stacks for software authors, agency marketers, security researchers, and enterprise lead developers.

How does WPFlood detect themes, plugins, and versions?

Our continuous crawling infrastructure inspects publicly accessible WordPress asset manifests, script enqueues, style link references, generator tags, and specific header fingerprints. This non-intrusive approach accurately identifies active themes, plugins, and version strings without impacting the target websites.

What data fields are included in the export?

Export datasets include:

  • Domain & URL: Clean website domain and target URL
  • WordPress Version: Detected major and minor core release
  • App Slug & Name: Specific theme or plugin identifier and formatted name
  • App Version: Installed theme or plugin version string
  • Contact & Email: Publicly published contact email address when available. Note: Official site contact email may not be available for each site.
  • Verification Date: Timestamp of last successful detection

How frequently is the data updated?

Our distributed crawler runs 24/7 across our index of millions of domains. Active sites are re-checked on a recurring schedule to capture version upgrades, theme switches, and newly installed or deactivated plugins.

Is the pricing calculated per site or per contact lead?

The base price is calculated per site, not per contact lead. You are billed based on the number of verified WordPress website records exported. Official site contact emails are included whenever publicly discoverable, but may not be available for every site.

Are there any recurring monthly subscriptions?

No. WPFlood operates entirely on an on-demand, pay-as-you-go model. You only pay for the exact quantity of sites you decide to export. There are no monthly fees, no recurring credit expirations, and no cancellation hassles.

How much does each site cost?

The base rate is $0.02 per site. For larger exports, tiered volume discounts apply automatically up to 65% off ($0.007 per site). The minimum order amount is just $0.05. Detailed discount brackets can be viewed on our Pricing Page.

How do I pay for exports?

Purchases are debited directly from your Traenet unified balance. You can top up your balance with cryptocurrency (USDT, USDC, BTC, ETH, SOL, and more) via our secure payment gateway with zero processing delays.

Can I download a sample before purchasing?

Yes! On every app listing and export modal, click the “Download Sample” button to instantly download a verified sample dataset matching your active filters. This lets you inspect data formatting, schema, and quality prior to placing an order.

In what file format are datasets delivered?

Datasets are delivered as compressed ZIP files containing structured standard CSV files. They can be immediately imported into CRM platforms (HubSpot, Salesforce), email marketing tools, Google Sheets, Excel, or custom data pipelines.

Can I re-download datasets I previously bought?

Yes. All your purchased exports are permanently preserved in your account. Open the export modal and switch to the “Purchased Lists” tab to re-download your files whenever needed at no extra charge.

Can I filter by specific WordPress or plugin version ranges?

Yes. WPFlood provides comprehensive version filtering. You can set minimum and maximum core WordPress versions (e.g., WordPress 6.0 to 6.7) as well as minimum and maximum plugin/theme versions to pinpoint sites needing compatibility upgrades or security patches.

Still have questions or need custom enterprise extracts?

If you require custom data exports, high-volume dedicated feeds, or technical assistance, reach out to our team at .

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