PrestaShop Leads Database | 182K+ Records, Emails & Phones
Pricing
from $6.00 / 1,000 prestashop leads
Find PrestaShop website leads with available business emails, phones and social profiles. Filter by country, company keyword and technologies. Preview counts and export deduplicated contacts to CSV, Excel, JSON or API.
Count writes diagnostics only; no paid Dataset rows. Startup and resource costs still apply.
ISO-2 country codes. Empty means no country filter.
Literal substring in domain or company name; not a category classifier.
Keep only sites where the Emails column is not empty.
Keep only sites where the Telephones column is not empty.
Require at least one stored phone with this country prefix, such as +44.
Maximum unique domains delivered in this run, 1 to 10000. Fewer can match or fit the event budget.
Skip this many eligible deduplicated domains. Prefer returned continuation input. Ordering can change as the index changes.
Platform evidence and source dates always accompany results. Optional fields can be empty.
Used only with custom output preset. Platform evidence and source dates are always included; use full to return all indexed columns.
[ "Root Domain", "Location on Site", "Primary Domain", "Technology Spend", "Sales Revenue", "Social", "Employees", "SKU", "Company", "Vertical", "Tranco", "Page Rank", "Majestic", "Umbrella", "Overall Score", "Performance", "Accessibility", "SEO", "Best Practices", "Telephones", "Emails", "X", "Twitter", "TikTok", "Weibo", "Threads", "Facebook", "LinkedIn", "Google", "Pinterest", "GitHub", "Instagram", "Vk", "Vimeo", "YouTube", "People", "Ticker", "Verified Profiles", "City", "State", "Zip", "Country", "First Detected", "Last Found", "First Indexed", "Last Indexed", "eCommerce Platform", "CMS Platform", "CRM Platform", "Marketing Automation Platform", "Payment Platforms", "CRuX Rank", "Cloudflare Rank", "Agency", "Has Ads", "Hosting Provider", "AI", "Exclusion", "Compliance"]Order matching rows before applying the limit. Empty disables explicit ordering.
Highest values first (recommended for scores/traffic/revenue).
Array of conditions on ANY of the 59 columns. Each item: {"column": "City", "operator": "contains", "value": "Milano"}. Operators: equals, not_equals, contains, not_contains, starts_with, ends_with, in_list (comma-separated), not_empty, empty. Conditions are combined with AND.