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Cloud tools for web scraping and data extraction
Deploy pre-built tools that crawl websites, extract structured data, and feed your applications. Reliable web data without maintaining scrapers.
Automate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
...Unlike other event-based apps, it doesn’t use callbacks but uses lightweight processes instead, so you can write very expressive scenarios in Python without complicating it with callbacks.
Render Web Services for Viewing/Monitoring and Test Web Applications
...Also implements simple and dynamic testing of web based applications using mechanize.
Includes Basic authentication, and ADFS authentication for web service testing.
Custom authentications can be implemented very easily with python programming.
Implements PhantomJS rendering for Javascript/HTML5 dynamic web pages.
Requires python3
...Different load generators are supported. Evgeniy Mamchits' phantom is a very fast (100 000+ RPS) shooter written in C++ (default) JMeter is an extendable and widely known one. BFG is a Python-based generator that allows you to write your load scenarios in Python. Experimental Golang generator: pandora. Performance analytics backend service: Overload. Store and analyze your test results online. Several ammo formats are supported like plain URL list or access.log. Test autostop plugin: stop your test when the results have become obvious and save time. ...
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.
Addanc is a distributed/scalable system for stress/load testing web based applications. Addanc tests focus on the arrival rate of service requests rather than a fixed number of simulated clients.
Performance and load testing framework. We aim to create a testing tool for web applications that can simulate large numbers of concurrent users without mucking around with threads, and thus allow us to perform rate-based testing.