The latest guides, research, and updates from the Proxidize team.
Zeid Abughazaleh on Oct 23, 2026C# web scraping usually pairs HttpClient with an HTML parser such as AngleSharp. Reuse one client, set firm limits, validate every response, and stop pagination loops before saving records. Use Playwright for JavaScript-rendered pages, and add proxies only when a documented routing or location requirement exists.
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Zeid Abughazaleh on Jul 14, 2026Choosing the right Puppeteer alternative depends on what your project needs beyond basic Node.js browser control. Browser coverage, programming language support, test-runner features, mobile automation, reporting, and infrastructure requirements can all affect which tool is the best fit. The summary below highlights the strongest options before the article compares each one in detail.
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Yazan Sharawi on Jul 13, 2026MCP is becoming one of the most important standards in AI infrastructure because it gives AI applications a consistent way to connect with tools, data, and workflows. Instead of building a separate integration for every model, app, or backend system, developers can use Model Context Protocol to expose capabilities once and make them available to compatible AI clients.
Read postZeid Abughazaleh on Jul 7, 2026CAPTCHA solving at scale starts with the solver. You need an API that can return valid answers for the CAPTCHA types your workflow sees, without making every additional solve increase your costs at the same rate. That is where CaptchaAI fits into the workflow.
Read postZeid Abughazaleh on Jul 7, 2026Choosing the best residential proxy provider can be a difficult task because there is no one-size-fits-all solution. Some might assume that the best residential proxy is the one with the lowest price or the one with the largest IP pool. But in reality, the best residential proxy provider can be chosen after evaluating a number of factors, including the IP quality, availability, geo-targeting capabilities, and long-term performance.
Read postZeid Abughazaleh on Jun 25, 2026Proxidize, Oxylabs, Bright Data, and Nimble are four residential proxy options to evaluate for web scraping in 2026. The right choice depends on your target websites, required locations, session behavior, and cost per usable record. This comparison focuses on their residential proxy services; browser rendering and data extraction require your own tooling or a separately purchased service.
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Eyad Elkhatib on May 20, 2026Crawl4AI is an open-source Python framework built for one job: turning websites into clean, structured data that AI models can actually use. It takes raw HTML, strips the noise, and outputs Markdown or JSON that feeds directly into LLM pipelines, RAG systems, and downstream automation without the usual cleanup overhead.
Read postZeid Abughazaleh on May 14, 2026Web crawling is the automated process of discovering and retrieving web resources. A crawler starts with one or more known URLs, fetches eligible pages, finds links, schedules new URLs, and repeats. Search engines use crawling to discover the web, but the same pattern also supports site audits, archives, monitoring systems, data pipelines, and AI knowledge bases.
Read postYazan Sharawi on May 7, 2026A rank tracker API lets you submit a keyword and search context—such as country, language, and device—and receive structured ranking data. For an owned website, the Google Search Console API is the best official source for historical search performance. For neutral, on-demand SERP snapshots, DataForSEO is strong on usage-based pricing, SerpApi is straightforward to integrate, and ScrapingBee combines Google search data with a broader scraping platform. Keyword.com, AccuRanker, and SE Ranking are better fits when you also need scheduled tracking, history, dashboards, and client reporting.
Read postEyad Elkhatib on May 5, 2026Open Pixelscan in the browser configuration you want to inspect, then select Scan My Browser Now. Wait for the browser, location, proxy, fingerprint, and bot checks to finish. Compare the completed values with your expected setup, investigate individual mismatches, and rerun the test after changing one variable.
Read postEyad Elkhatib on Apr 16, 2026Meta’s Llama 3 was pre-trained on over 15 trillion tokens of web-crawled data. Llama 4, released in April 2025, more than doubled that to over 30 trillion tokens of multimodal content (with individual models ranging from 22 to 40 trillion tokens depending on the variant). Common Crawl’s March 2026 archive alone, one month of one nonprofit’s crawling, contained 1.97 billion pages and 344.64 TiB of uncompressed content. The actual volumes that OpenAI, Anthropic, and Google collect internally are almost certainly larger.
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