Телеграм канал «ProxySeller»

📘 How to Scrape Bing Results with Python — Key Takeaways Why Bing? Different ranking signals = extra SERP insights, donor domains, long-tail opportunities What you can extract: • Title, URL, snippet, position • PAA, related queries, media blocks Methods covered: Requests + BeautifulSoup — clean HTML parsing, pagination, delays, optional proxy API approach in 2025 — Bing’s public API is sunset; Microsoft now offers Grounding with Bing Search via Azure Agents (doesn’t return raw SERP JSON) Selenium — for JS-rendered or dynamic SERP elements Practical setup: • Python example with pagination, random User-Agent, delays • CSV export, locale controls (cc, setlang), proxy support • Stable selectors for li.b_algo Compliance: Follow ToU, robots.txt, privacy rules. Azure Grounding is the official path, but not for raw SERP data 👉 Full guide: How to Scrape Bing Search Results with Python

Parsing Wikipedia Data with Python — Step-by-Step Guide In our latest video, we show how to scrape and structure Wikipedia data using Python, Requests, and BeautifulSoup — safely and at scale. You’ll learn how to: - extract text and metadata from Wikipedia pages; - configure proxies for stable, multi-IP scraping; - and integrate results into your data workflows. For engineers and analysts building AI pipelines, data enrichment, or research automation — this guide walks through practical setup, code, and proxy configuration examples. 🎥 Watch the full video on our YouTube channel: How to Parse Wikipedia Data with Python

No-Code Web Scraping in 2025 — 11 Tools That Simplify Data Access Not every team needs a custom scraper — sometimes, speed and scalability matter more than code. In our new guide, we review 11 no-code scraping platforms that help marketing, data, and R&D teams collect structured web data without writing a single line of code. Inside: - Which tools work best for e-commerce, analytics, or content tracking; - What to check before choosing — API access, scheduling, proxy support; - And how to stay compliant and stable under heavy scraping loads. Whether you’re building dashboards, monitoring prices, or feeding AI pipelines — this article helps you pick the right no-code scraper for your workflow. 👉 Read the full guide

In 2025, proxies moved beyond “bypass tools.” They’ve become a core layer of AI, automation, and DevOps ecosystems. In our latest video, we explain: — Why mobile and residential proxies now power data pipelines and AI workloads; — How adaptive proxies integrate with antidetect browsers to stay undetectable; — And why API-first, SaaS-level proxy systems redefine scalability and observability. Modern teams treat proxies as infrastructure — not accessories. From load balancing to AI routing, they’ve become essential for reliability and compliance. 🎥 Watch the full video on our YouTube channel