HasData

We compared 𝗕𝗲𝗮𝘂𝘁𝗶𝗳𝘂𝗹 𝗦𝗼𝘂𝗽 and 𝗦𝗰𝗿𝗮𝗽𝘆 in a real benchmark. 1,000 pages on the same server, same conditions. The results were clear: • BS4 + requests: 954 seconds • BS4 + threads: 120 seconds • Scrapy: 24 seconds 𝗦𝗰𝗿𝗮𝗽𝘆 is not "just faster." It is built on an asynchronous event loop, handles concurrency for you, and includes retries, throttling, exporting, and middleware. It's a full framework. 𝗕𝗲𝗮𝘂𝘁𝗶𝗳𝘂𝗹 𝗦𝗼𝘂𝗽 is still great, but only as a parsing tool. It is perfect for learning, prototyping, and small scripts under 100 pages. 👉 Read the full breakdown, benchmarks, and code examples in our blog: https://lnkd.in/envzvc2v

HasData November Updates are live! This month, we improved our scrapers, added a new Instagram API and team-friendly Workspaces. Highlights:  • 𝗜𝗻𝘀𝘁𝗮𝗴𝗿𝗮𝗺 𝗔𝗣𝗜. Extract public profile data reliably.  • 𝗪𝗼𝗿𝗸𝘀𝗽𝗮𝗰𝗲𝘀. Manage users, subscriptions, and memberships.  • 𝗚𝗼𝗼𝗴𝗹𝗲 𝗠𝗮𝗽𝘀. Higher-resolution images + menu parsing.  • 𝗭𝗶𝗹𝗹𝗼𝘄. Floor plans, building status.  • 𝗔𝗺𝗮𝘇𝗼𝗻. Delivery info, specifications, new domains.  • 𝗬𝗲𝗹𝗽. Optional location parameter, removed duplicates. 👉 Join our Discord to stay connected: https://lnkd.in/dfWH72Qu https://hasdata.com

Want ZoomInfo data fast and reliable? Our new blog shows a simple and stable way to extract search results, person profiles, and company pages using Python and SeleniumBase. You’ll learn how to access the hidden JSON data and build a reliable data pipeline, even without authorization. Practical, ready-to-use, and designed for developers who want results fast. https://lnkd.in/eN86mRGR #Python #WebScraping #ZoomInfo #Automation

🚀 From Python Scripts to No-Code Google News Scraping Last week on our blog, we shared a deep dive into scraping Google News with Python, a step-by-step guide for developers. This week, we’re switching gears. If you don’t code, don’t worry. You can now collect, analyze, and visualize news headlines without writing a single line of Python. With HasData’s Streamlit apps, you can:  • Fetch 𝗚𝗼𝗼𝗴𝗹𝗲 𝗡𝗲𝘄𝘀 𝗥𝗦𝗦 𝗳𝗲𝗲𝗱𝘀 automatically, for consistent updates on your topics  • Pull news from 𝗚𝗼𝗼𝗴𝗹𝗲 𝗦𝗲𝗮𝗿𝗰𝗵’𝘀 “𝗡𝗲𝘄𝘀” tab by keyword, including headlines, snippets, timestamps, and sources  • Explore structured 𝗚𝗼𝗼𝗴𝗹𝗲 𝗡𝗲𝘄𝘀 𝘁𝗼𝗽𝗶𝗰 𝗽𝗮𝗴𝗲𝘀 with metadata, thumbnails, and related story clusters  • Download results in 𝗖𝗦𝗩 or 𝗝𝗦𝗢𝗡 Whether you’re in marketing, research, or just love staying on top of the news, this guide will help you get actionable insights without touching code. Read the full post #HasData #NoCode #GoogleNews #Streamlit #DataTools #NewsAnalysis #NoCodingRequired

New on the HasData Blog We just published a technical guide on 𝘀𝗰𝗿𝗮𝗽𝗶𝗻𝗴 𝗚𝗼𝗼𝗴𝗹𝗲 𝗡𝗲𝘄𝘀. It covers RSS feeds, Google Search (tbm=nws), and topic-based scraping, complete with Python examples for each method. Whether you want structured news data for research, analytics, or AI pipelines, this post walks you through it step by step. Check it out here: https://lnkd.in/d87xVCYi #HasData #Python #WebScraping #GoogleNews #Developers

HasData October Updates are live! This month, we focused on reliability, API expansion, and more accurate data extraction:  • 𝗚𝗼𝗼𝗴𝗹𝗲 𝗦𝗘𝗥𝗣 𝗔𝗣𝗜. Better video snippet extraction.  • 𝗭𝗶𝗹𝗹𝗼𝘄 𝗔𝗣𝗜. Improved buyer agent info and richer property details.  • 𝗜𝗺𝗺𝗲𝗿𝘀𝗶𝘃𝗲 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝘀 𝗔𝗣𝗜. Added moreStores and nextPageToken parameters.  • 𝗚𝗼𝗼𝗴𝗹𝗲 𝗠𝗮𝗽𝘀 𝗥𝗲𝘃𝗶𝗲𝘄𝘀 𝗦𝗰𝗿𝗮𝗽𝗲𝗿. Now supports URLs with Place IDs. New Features:  1. Share your scraped datasets via public links.  2. Refer a friend and get 1,000 credits each.  3. Get 2 months free with annual plans → hasdata.com/pricing 👉 Join our Discord to stay connected: https://lnkd.in/dfWH72Qu 👉 https://hasdata.com/

Just published a new post about scraping TikTok. In our new post, we explain how to scrape TikTok data (profiles, videos, comments), using JSON and internal API endpoints instead of unreliable selectors. We also cover common problems: – IP rate limits – 403 errors and invalid headers – short-lived download links The article includes ready-to-use Python examples and clean workflows that work without heavy frameworks: https://lnkd.in/d_NF52dc #webscraping #tiktok #python #automation

Marketers and sales teams, searching for high-quality leads? We just published a practical guide on web scraping for lead generation! Learn how to turn publicly available data into actionable insights,  identify buying signals, and turn public web information into high-quality leads. Check it out here: https://lnkd.in/drgrUjtf #LeadGeneration #WebScraping #Sales #Marketing #B2B

The Complete Guide to Web Scraping with Selenium in Python is live. In this guide, we go deep into modern Selenium: from setup and browser configuration to data extraction and scaling. You’ll learn how to: - Install and run Selenium  - Use headless mode and Chrome DevTools Protocol for faster scraping - Handle dynamic pages, Shadow DOM, and multi-tabs - Extract clean text, attributes, and structured data - Export results to CSV/JSON - Avoid common pitfalls like stale elements and slow waits - Scale scrapers with Selenium Grid or HasData API If you scrape for data, automation, or research, this guide saves you hours of setup and debugging. 👉 Read here: https://lnkd.in/dQUY7s6x #Python #Selenium #WebScraping #Automation

HasData September Updates are live! This month we: - Improved Google SERP API (spelling corrections & better extraction of related questions, short videos, and news results). - New Google News API (standalone, improved parsing). - New Google Immersive Product API (replaces old Product API). - Expanded Zillow APIs (price changes, media, open houses, and more). - Improved Google Maps API (keyword grouping & deduplication). Google deprecated the &num=100 parameter regular organic searches now return up to 10 results. HasData will continue supporting num where it still works for other search types. 👉 Join our Discord to stay connected: https://lnkd.in/dfWH72Qu #HasData #APIDevelopment #WebScraping #Digest