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Automate contact and company data extraction
Build lead generation pipelines that pull emails, phone numbers, and company details from directories, maps, social platforms. Full API access.
Generate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
Simplified multithreaded Java HTTPserver able to interpret GET/POST requests.
Example dummy app included. It uses Apache2 as a proxy for AJAX calls and jQuery code as a client.
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Requirements:
For the Java HTTPserver:
- J2SE (SDK for compilation)
For the exampe web app:
- Apache2 with mod_rewrite and mod_proxy
Client-side for the web app:
- www browser supporting JS with jQuery
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Setup:
- run Server.class from Java server files (java Server) in a terminal/console
- unpack example app files under/within your apache2 document root file structure
- open index.html (with a www browser, from a www server)
- observe terminal output
The JotScale project is a cluster of servers implementing a highly scalable object storage system combined with a high performance httpserver and a subscription system. Jotscale now depends upon Mojasi (same trunk). Pure Java. Source only.
json-httpd is a library that provides a web server with JSON-RPC capabilities. The library makes it easy to develop a WUI for application using static HTML and JAVA using JSON-RPC for communication. It also works as a standalone web server.
Ein kleiner Kalender Server der eine WEB-GUI hat und XML sowie ICAL formate versendet und empfangen kann. LOGIN über HTTP und verschlüsselte Übertragung bei Socketverbindungen
Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.