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Types of Data in Google Search ResultsWhen scraping, you'll encounter these main data categories: - Search Results: Title, URL, description snippet, and ranking position. - Rich Snippets: Enhanced results with ratings, dates, or images. - Knowledge Graph: Structured data about entities (people, places) with quick facts. - Ad Results: Paid advertisements with their title, description, and displayed URL. - Local Data: Business listings with name, address, phone number, and hours. - Other: "People Also Ask" boxes, news results, and shopping product listings. How to Scrape Google Search DataDue to Google's strict anti-scraping measures, proceed carefully. Key methods include: 1. Google Custom Search API (Recommended)How: Google's official, compliant API. Set up a Custom Search Engine, get an API key, and request data in JSON format. Pros: Ethical, reliable, no CAPTCHAs, returns structured data. Cons: Limited to 100 free queries/day; costs apply beyond that. 2. Headless Browsers (Puppeteer/Selenium)- How: Automates a real browser to simulate human behavior and render JavaScript. - Pros: Handles dynamic content effectively. - Cons: Slower, complex to set up, and high risk of being detected and blocked. 3. Proxy & User-Agent Rotation- How: Use services to rotate your IP address (proxies) and browser signature (User-Agent) to avoid detection. - Pros: Essential for avoiding IP bans when scraping at scale. - Cons: Adds complexity and cost for reliable proxy services. Handling CAPTCHAs: You may need to use manual solving or paid CAPTCHA-solving services, though this increases complexity. Conclusion: For most, the Google Custom Search API is the best method for its reliability and compliance. For large-scale or complex scraping, use headless browsers combined with robust proxy rotation, but be aware of the higher risks and costs. Always respect rate limits. For more please read: https://momoproxy.com/blog/scrape-google-search-data
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A Practical Guide to Scraping eBay DataThink of eBay as a massive, constantly-updating library of what people are buying and selling. Tapping into that data can give you a huge edge, whether you're researching the market or keeping an eye on competitors. But eBay, understandably, protects its site with some pretty smart defenses. Here’s the lowdown on how to do it effectively and responsibly. The Main Hurdles: Why It's TrickyeBay isn't trying to make your life difficult, but it is trying to stop bots from overwhelming its site. You'll likely run into: Getting Blocked: If you make too many requests too quickly from the same computer, eBay will notice and cut you off. CAPTCHA Puzzles: Those "click all the traffic lights" puzzles are designed to stop automated programs. The Website Acts Alive: Modern websites don't just load all their data at once. Product info often pops in after the page loads, which can confuse simple scrapers. The Secret Weapon: Blending In with the CrowdThe key to not getting caught is to look like any other person browsing eBay. How do you do that? By using something called residential proxies. In simple terms, a proxy is a middleman for your internet traffic. A residential proxy routes your requests through a real, home internet connection somewhere in the world. So to eBay, it looks like a regular person in, say, Ohio, is browsing the site—not a data-scraping bot. Using a good proxy service (like MoMoProxy, which the original text mentioned) with a large pool of these IP addresses is pretty much non-negotiable for any serious scraping. It lets you rotate through different identities, making you much harder to detect. How to Set It Up (The Basic Idea)You don't need to be a master coder, but you do need to be thoughtful. Your scraping script should: Use Multiple Identities: Rotate through different proxies and change its digital fingerprint (like the User-Agent string) for each task. Take Its Time: Be polite and put a few seconds of delay between page visits. A real human doesn't scroll through hundreds of products in ten seconds. Expect the Unexpected: Build in ways to handle errors. If a request fails or you hit a CAPTCHA, your script should pause, switch to a new proxy, and try again instead of just crashing. Playing by the RulesThis is the most important part. Just because you can scrape data doesn't always mean you should. Be Respectful: Don't hammer eBay's servers with thousands of requests a minute. You could slow the site down for real users. Check the Rules: Take a quick look at eBay's Terms of Service. They have rules about automated access, and it's good to know what they are. Don't Steal Personal Info: Focus on public product and pricing data. Avoid collecting people's private information. Be Smart with the Data: Don't just rip off product descriptions and images and claim them as your own. The Bottom LineScraping eBay is all about being smart and discreet. Use the right tools (like residential proxies) to blend in, write your code to be polite and resilient, and always be ethical with the data you collect. If you get those things right, you can build a powerful tool for insights.
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Scraping data from Amazon, whether for prices, reviews, or product rankings, is a technically complex task due to the site's sophisticated anti-bot measures. These include IP blocking, CAPTCHAs, and dynamically loaded content, making simple scripts ineffective.
For developers, the most common approach involves Python libraries. Using requests to fetch pages and BeautifulSoup to parse HTML can work for small, occasional tasks, but it requires mimicking a real browser with precise headers to avoid immediate blocks. A more robust method employs Selenium, which automates a real web browser. This handles JavaScript rendering, making the scraper look more human, but it is slower and more resource-intensive.
For any serious, commercial-scale project, these DIY methods are often insufficient. The most reliable solution is to use a professional Web Scraping API (like Bright Data or Oxylabs). These services manage the technical challenges—proxy rotation, CAPTCHA solving, and browser emulation—for you, delivering clean, structured data without the constant fear of being blocked.
Regardless of the method, strict ethical and legal considerations apply. Scraping violates Amazon's Terms of Service, potentially leading to legal action or permanent IP bans. To minimize risk, always rotate user-agents and IPs using proxies, implement random delays between requests, and avoid overloading Amazon's servers. For large-scale data extraction, a professional API is not just a convenience but a necessity for both reliability and mitigating legal exposure.
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When you're gathering data from websites at a large scale, sending too many requests from one location can get you blocked. This is where a scraping proxy comes in. Think of it as a middleman that hides your real IP address. Instead of connecting directly, your requests are routed through these proxy servers, making it appear as if they're coming from many different, ordinary users around the world. This helps you avoid detection, bypass geographic restrictions, and collect the public information you need without getting shut out by the website's security. MoMoProxy Offers 150 million of Rotating Residential Proxy for scraping project for Amazon, ebay, Linkedin, Wayfair or other platforms. Get 1GB free Trial now: https://momoproxy.com/contact |
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Top 10 Free Web Scrapers in 2025This list covers the best free web scraping tools for Windows, Mac, and browsers to help you extract data easily. How to Choose a Scraper:Compatibility: Works on your OS (Windows, Mac, Linux). Ease of Use: Look for no-code tools if you're not a programmer. Features: Consider cloud access, IP rotation (to avoid blocks), and API integration. Top 4 Desktop Applications (Windows/Mac)ParseHub: A powerful, user-friendly desktop app. Click to extract data from complex sites (JavaScript, infinite scroll). Free to use. ScraperAPI: A developer-focused API that handles proxies and CAPTCHAs for you. Offers a generous free trial to start. Octoparse: Beginner-friendly with an AI mode for easy setup and advanced options for custom crawlers. Has a free plan. ScrapingBot: Ideal for developers scraping product data. Offers several APIs and includes 100 free credits monthly. Top 4 Browser ExtensionsWeb Scraper (Chrome): A popular point-and-click extension. The free version works locally in your browser. Scraper (Chrome): A simple tool for scraping table data directly to Google Docs. Outwit Hub (Firefox): Features a “Fast Scrape” function for non-programmers to quickly pull data from a list of URLs. Data Scraper (Chrome): Great for extracting tables and listings. Free plan covers basic needs. Top 2 Web-Based/Cloud ApplicationsDexi.io: For advanced users to build custom scraping "robots." Includes proxies and multiple export options. Webz.io: Scrapes data from various online sources in real-time. The free plan includes 1,000 requests per month. Conclusion: For a coding-free experience, Octoparse is an excellent starting point with its ready-made templates. For more details, please read: https://momoproxy.com/blog/top-10-free-web-scrapers-in-2024
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MoMoProxy Offers 150 million of Rotating Residential Proxy for scraping project for Amazon, ebay, Linkedin, Wayfair or other platforms. Get 1GB free Trial now: https://momoproxy.com/contact |
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Web Scraping Wayfair: A GuideScraping Wayfair requires careful consideration of their terms of service and technical implementation. Here's a comprehensive guide: Legal Considerations Check Wayfair's Terms of Service: Web scraping may violate their terms Respect robots.txt: Check https://www.wayfair.com/robots.txt for restricted pages Don't overload their servers: Implement rate limiting Consider using their API if available for your needs Technical Approaches1. Using Python with BeautifulSoup/Requestspython
import requests
from bs4 import BeautifulSoup
import time
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
}
url = "https://www.wayfair.com/keyword.php?keyword=sofa"
try:
response = requests.get(url, headers=headers)
soup = BeautifulSoup(response.text, 'html.parser')
# Extract product data
products = soup.find_all('div', class_='ProductCard-container')
for product in products:
name = product.find('div', class_='ProductCard-name').text.strip()
price = product.find('div', class_='ProductCard-price').text.strip()
print(f"Name: {name}, Price: {price}")
time.sleep(2) # Be polite with delays
except Exception as e:
print(f"Error: {e}") More robust for large-scale scraping: python
import scrapy
class WayfairSpider(scrapy.Spider):
name = 'wayfair'
start_urls = ['https://www.wayfair.com/furniture/sb0/sofas-c413892.html']
custom_settings = {
'DOWNLOAD_DELAY': 3,
'CONCURRENT_REQUESTS_PER_DOMAIN': 1
}
def parse(self, response):
for product in response.css('div.ProductCard-container'):
yield {
'name': product.css('div.ProductCard-name::text').get().strip(),
'price': product.css('div.ProductCard-price::text').get().strip(),
'url': product.css('a::attr(href)').get()
} python
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import time
options = Options()
options.headless = True
driver = webdriver.Chrome(options=options)
try:
driver.get("https://www.wayfair.com/furniture/sb0/sofas-c413892.html")
time.sleep(5) # Wait for JS to render
products = driver.find_elements_by_css_selector('div.ProductCard-container')
for product in products:
name = product.find_element_by_css_selector('div.ProductCard-name').text
price = product.find_element_by_css_selector('div.ProductCard-price').text
print(f"Name: {name}, Price: {price}")
finally:
driver.quit() 1. Rotate User-Agents to mimic different browsers 2. Use rotating residential proxies to avoid IP bans 3. Implement delays between requests (2-5 seconds) 4. Handle pagination by following "next page" links 5. Check for anti-bot measures like CAPTCHAs 6. Consider using Scrapy middleware like: - scrapy-rotating-proxies - scrapy-useragents Alternative ApproachIf you need reliable, legal access to Wayfair data, consider: - Wayfair's official API (if available for partners) - Third-party data providers that have agreements with Wayfair Remember that web scraping may violate Wayfair's terms of service, so proceed with caution and consider consulting legal advice if you're scraping for commercial purposes.
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新手空投（Airdrop）完整指南：从入门到精通对于刚进入加密货币领域的新手来说，空投（Airdrop）无疑是一个极具吸引力的切入点。通过参与项目方的空投活动，用户可以在不投入资金或仅投入少量时间成本的情况下，获得免费的代币或NFT奖励。这份指南将系统性地解答你关于空投的所有疑问，包括行业现状、项目筛选方法、必备工具、信息渠道、当前值得关注的项目以及完整操作流程。无论你是完全零基础的新手，还是已经参与过少量空投但希望提升效率的投资者，都能从本指南中获得实用价值。 空投市场现状与收益潜力2025年的空投市场依然活跃，但竞争格局已发生显著变化。从Kaito空投案例来看，部分活跃用户通过参与NFT、代币和合作项目空投，在两个月内获得了超过5万USDT的收益1。这样的高回报案例确实存在，但也需要认识到，随着参与者数量激增，空投领域的"内卷"现象日益严重。 当前空投市场呈现几个明显特征：首先，优质项目的空投门槛提高，往往要求用户完成更复杂的交互任务或持有特定资产；其次，项目方反作弊机制日益完善，"女巫攻击"（Sybil Attack，即一人控制多个账号获取空投）的难度加大；最后，空投奖励分配更加精细化，倾向于奖励那些真正为项目生态做出贡献的用户，而非单纯完成任务的"羊毛党"。 尽管竞争加剧，空投仍不失为新手入门Web3的低成本方式。相比直接购买代币，参与空投能以零成本或极低成本接触各类项目，学习区块链交互操作，同时保留获得高额回报的可能性。关键在于调整预期——将空投视为学习过程的一部分，而非快速致富的捷径，并采用更系统化的参与策略。 项目筛选的7个核心维度筛选优质空投项目是成功的关键第一步。以下是经过市场验证的7个核心评估维度，帮助你在海量项目中识别真正有价值的机会： 1. 项目基本面评估研究项目解决的实际问题及其创新性 分析白皮书或文档的技术可行性 评估路线图的清晰度和团队执行力 查看是否已有可用的产品或测试网 2. 团队背景与融资情况核心团队成员在区块链领域的经验 知名投资机构的参与（如a16z、Paradigm等） 融资轮次和金额（如某L1项目累计融资2400万美元1） 顾问团队中的行业知名人士 3. 链上数据表现总锁仓价值(TVL)增长趋势 每日活跃地址(DAU)数量 交易量和交易频率 合约交互深度（是否有多样化的交互场景） 4. 社区活跃度与互动Discord、Telegram等社群成员数量和发言质量 官方Twitter的粉丝增长和互动率 团队成员在社区的参与频率（如Kaito项目团队与平台互动频繁1） 社区活动的多样性和参与度 5. 代币经济模型空投占总供应量的比例（如Kaito保留7.5%代币用于长期激励1） 代币的实用场景和增值逻辑 解锁周期和分配计划 前期投资者的锁仓安排 6. 交互逻辑与参与成本任务复杂度和时间投入 Gas费消耗预估（特别是在以太坊主网） 是否需要质押资金或购买NFT 反女巫机制的设计（过于宽松可能影响代币价值） 7. 竞争程度与先发优势参与该空投的用户基数（如某些项目榜单竞争较小1） 早期参与者的优势积累可能 项目所处发展阶段（测试网阶段通常机会更多） 空投规则是否有利于长期贡献者 实际操作建议：可以创建一个评分表，对上述维度按重要性赋予权重，为每个潜在空投项目打分。重点关注那些团队实力强、社区活跃但参与人数尚未爆发的项目，这类项目往往能提供最佳的投入产出比。 [h2]新手必备工具与环境配置[/h2] 工欲善其事，必先利其器。一个高效的空投猎人需要配置完善的工具组合。以下是分类整理的必备工具清单及使用建议： 基础工具套装- 多链钱包： MetaMask（支持EVM链，必备） Phantom（Solana链专用） Keplr（Cosmos生态专用） 建议每个钱包准备至少0.05ETH和少量稳定币作为Gas费储备 浏览器环境： 谷歌浏览器（主浏览器） 指纹浏览器如MoreLogin（用于多账号管理，新用户可免费创建50个环境8） 推荐插件：钱包插件、Discord令牌登录、Twitter增强工具 网络与安全工具： 可靠的VPN服务（确保IP地址稳定） 密码管理器（如Bitwarden） 二次验证工具（Google Authenticator或Authy） 账号矩阵建设社交账号： Twitter：准备3-5个账号，逐步培养活跃度 Discord：每个项目使用独立账号，避免关联 Telegram：可用于接收项目通知 GitHub：部分技术型项目会要求 邮箱与身份： 专业域名邮箱或Protonmail等隐私邮箱 临时邮箱服务用于一次性注册 虚拟手机号接收验证码（如Google Voice） 高级配置技巧多账号管理： 使用指纹浏览器隔离不同账号环境（如MoreLogin或比特浏览器8） 每个账号绑定独立IP（避免使用公共代理） 账号操作行为差异化（不同时间段登录、不同使用模式） 自动化工具： 自动化脚本（谨慎使用，避免被检测为机器人） 同步器功能批量操作（如"第一天同步1、4、5、7、9号窗口，第二天同步2、3、6、8、10号"8） 数据追踪表格（记录各账号任务进度） 反检测策略： 模拟真实用户行为模式（随机间隔操作） 避免账号间资产直接转移 定期清理Cookie和缓存 环境配置示例：假设你计划同时参与5个空投项目，理想配置是5个独立的浏览器环境，每个环境配备独立的MetaMask钱包、Twitter账号、Discord账号和邮箱，并通过VPN绑定不同的IP地址。初期可以从小规模开始，随着经验积累逐步扩展。 --- 优质空投信息渠道大全在信息过载的加密货币世界，找到可靠的空投信息来源至关重要。以下分类整理了各类型的优质渠道，帮助你在噪音中捕捉真正有价值的信号： 1. 专业空投聚合平台综合性平台： CandyDrop（Gate推出的任务驱动型NFT空投平台，集成反作弊机制35） AirdropAlert（老牌空投信息网站，筛选机制严格） Earnifi（智能分析钱包地址的潜在空投） 细分领域平台： NFT空投：Rarity.tools、ICY.tools DeFi空投：DefiLlama的空投专区 游戏空投：PlayToEarn.net的空投板块 2. 社交媒体关键账号Twitter推荐列表： @Wacy_time1（空投早期信号） @ZachXBT（链上侦探，曝光骗局） @owocki（Gitcoin创始人，公共物品融资） 项目官方账号（如@biokript曾与LBank合作空投9） Telegram优质群组： Airdrop Official（成员50万+） Crypto Airdrops & Bounties（管理员审核严格） 各项目官方公告群（如LBank官方中文社区9） 3. 社区与论坛资源Discord服务器： BanklessDAO（空投讨论频道） Crypto.com官方服务器 各项目社区（如Somnia Gaming通过Discord角色判断空投资格2） 中文社区： 币乎、链闻的空投专栏 微信群（通过熟人邀请加入的质量较高） 巴比特论坛空投板块 3. 数据分析工具链上监控： Nansen（聪明钱动向） Dune Analytics（自定义空投数据看板） Arkham（实体标签追踪） 项目评估： TokenUnlocks（代币释放时间表） CryptoRank（空投历史数据分析） LunarCrush（社交信号监测） 4. 信息验证技巧交叉验证：任何空投信息至少要在2-3个独立来源确认 官方链接：只点击项目官网或官方社交媒体公布的链接 防骗检查： 警惕要求私钥或助记词的空投 验证合约地址是否与官网一致 查看项目智能合约是否通过审计 实践建议：建立一个信息处理流程，例如每天早上花15分钟扫描Twitter关键账号和空投平台，将潜在机会记录在表格中，周末集中时间评估和筛选。同时，参与如Kaito这类平台的社区活动，其Yapper Leaderboard和Yapper Launchpad常会提前透露合作项目空投信息1。 2025年值得关注的空投项目与策略基于当前市场动态和搜索结果显示的趋势，以下是分类整理的潜力空投项目及适合新手的参与策略： 1. 当前热点空投项目Kaito生态项目： 背景：Kaito近期空投收益超过5万USDT，仍保留7.5%代币用于长期激励1 参与方式：关注Yapper Leaderboard排名，与官方账号互动提升积分1 推荐理由：团队与项目方互动频繁，部分榜单竞争较小 Somnia Gaming： 特点：推出空投资格查询工具，透明化分配过程2 资格标准：Authena Score>30、特定Discord角色或NFT持有者2 策略：尽早加入Discord社区，获取必要角色 CandyDrop平台任务： 优势：Gate交易所背书，任务驱动型参与模式3510 任务类型：社交互动、交易、邀请等，适合新手练手 注意事项：每个活动的糖果体系独立，不累计10 2. 按链划分的机会以太坊Layer2： 关注新晋Layer2项目的测试网活动 交互重点：跨链桥使用、小额交易、LP提供 潜在回报：可能获得主网上线后的原生代币 Solana生态： 参与策略：使用Phantom钱包进行NFT铸造、DeFi交互 当前热点：AI与DePIN（去中心化物理基础设施）结合项目 Cosmos生态： 特点：通过质押空投较为常见 建议：选择高APY的小市值代币进行质押 3. 新手友好型任务类型社交任务： 关注/转发（如BKPT空投要求关注@LBank_Exchange和@biokript9） 加入Telegram/Discord群组（如SpaceY 2025要求4） 邀请好友（注意评估项目真实性后再推广） 简单交互： 测试网交易（只需支付测试币） NFT铸造（选择免Gas或低价项目） 投票参与（如Kaito的合作项目投票1） 学习型任务： 完成项目教程并提交反馈 参与AMA提问被选中 创作简单内容（推文、meme等） 4. 参与策略建议时间分配： 70%精力投入高潜力项目 20%参与中等潜力项目 10%尝试高风险高回报机会 资源分配： 主钱包用于重点项目的深度交互 辅助钱包用于广泛撒网 合理分配Gas费预算 风险管理： 单个项目时间投入不超过2周 警惕需要大额质押的空投 及时止损表现不佳的项目 实战案例：以参与类似SpaceY 2025的空投为例（虽然该空投已结束，但模式可参考4），新手可以：1) 关注官方Twitter并转发；2) 加入Discord和Telegram；3) 完成简单的表格填写；4) 提供BSC钱包地址。这种基础任务组合风险极低，适合积累初始经验。 空投全流程操作手册掌握了基本概念和工具后，让我们通过一个标准化操作流程，将零散的知识点整合为可执行的步骤。这套流程基于多个成功案例提炼而成，包括Kaito空投获得5万USDT收益的经验总结1和批量操作的技术方案8。 阶段一：前期准备（1-3天）项目研究与筛选 使用前文提到的7个维度评估项目 确认空投规则和资格要求（如Somnia Gaming的Authena Score要求2） 估算时间成本和潜在回报 环境配置 设置独立浏览器环境（指纹浏览器如MoreLogin8） 准备干净的IP地址（避免使用公共代理） 创建专用钱包和社交账号 资源准备 存入适量Gas费（各链原生代币） 准备任务所需的素材（如自我介绍模板） 建立追踪表格记录进度 阶段二：任务执行（1-4周）基础任务完成 社交关注与转发（如BKPT空投要求9） 社群加入与验证（Discord、Telegram等） 账户绑定（钱包连接、角色申请） 链上交互 测试网操作（合约交互、小额交易） 主网交互（根据项目阶段） 跨链操作（如使用桥接工具） 增值任务 内容创作（原创内容质量高于伪原创1） 社区互动（特别是与官方账号互动1） 邀请新用户（评估项目可信度后） 阶段三：优化管理（持续进行）行为模式优化 模拟真实用户行为（随机操作间隔） 多账号错峰操作（避免同步行为8） 定期清理痕迹（Cookies、缓存） 进度追踪 记录每个任务的完成状态 标记关键时间节点（如快照日期） 评估投入产出比，及时调整策略 风险管理 私钥和助记词绝不共享 警惕需要approve所有权的交易 设置交易金额上限 阶段四：收获与复盘（空投后）奖励领取 关注官方公告，及时领取 评估代币价值，制定变现策略 税务记录保存 经验总结 分析成功与失败原因 更新项目评估标准 优化操作流程 Checklist模板示例: 项目名称 研究完成 环境配置 社交任务 链上交互 增值任务 快照日期 奖励状态 Kaito ✓ ✓ ✓ ✓ ✓ 08/15 已领取 Somnia ✓ ✓ ✓ ✓ ✗ 待公布 进行中 进阶技巧：对于希望批量操作的用户，可以参考"批量开通100个撸毛空投账号"的教程8，利用指纹浏览器的同步功能提升效率，但需注意避免被检测为女巫攻击。建议新手先从单个账号的精耕细作开始，逐步扩展规模。 隐藏任务与进阶技巧除了公开的空投规则外，识别和完成隐藏任务往往是获得超额回报的关键。这些不为人知的细节通常分散在项目文档、社区讨论或团队发言中，需要猎人具备敏锐的洞察力和系统的研究方法。 常见隐藏任务类型 Discord深度参与： 获得特定角色（如Somnia Gaming通过Discord角色判断资格2） 参与社区治理投票 在开发频道提供有价值的技术反馈 成为社区版主或志愿者 Galxe/Zealy任务线： 完成隐藏的成就任务（通常需要探索发现） 保持连续签到记录（部分项目有隐形要求） 参与社区活动获得特殊OAT（链上成就代币） 早期贡献者身份： 在GitHub提交有效PR（针对开源项目） 测试网bug报告被采纳 参与早期治理提案讨论 成为项目AMA的活跃提问者 社交深度互动： 推文被官方账号点赞或转发 创作的内容被纳入项目周报 在社区活动中获奖 建立项目相关的子社区并达到一定规模 资产持有策略： 快照时持有特定NFT（如Kaito创世NFT曾达10ETH1） 维持最低代币余额超过阈值时间 在特定DEX提供流动性 跨多个链持有资产 更多请阅读如下文章： https://momoproxy.com/zh-CN/blog/%E7%A9%BA%E6%8A%95?query=category
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Web scraping automates data extraction from websites using bots, with tools like Regex for cleaning data. The process involves: Sending Requests – Bots fetch a webpage’s HTML. Data Extraction – Target data is pulled from the HTML. Processing – Data is cleaned and structured for analysis. Choosing a Scraper: Compatibility (Windows/Mac/Linux). Cloud Access & API/IP Rotation to avoid blocks. Integration with workflows and ease of use. Pricing (free vs. paid features). Top 10 Free Scrapers in 2025 Windows/Mac Tools: ParseHub – No-code, handles JavaScript/AJAX. ScraperAPI – Manages proxies/CAPTCHAs automatically. Octoparse – AI-powered, beginner-friendly. ScrapingBot – Developer-focused, 100 free monthly credits. Browser Extensions: Web Scraper (Chrome) – Point-and-click, cloud scheduling. Scraper (Chrome) – Extracts tables to Google Docs. Outwit Hub (Firefox) – Fast scraping for non-coders. Data Scraper (Chrome) – Free for basic table extraction. Cloud-Based: Dexi.io – Advanced, supports proxies. Webz.io – Scrapes dark web, 1K free monthly requests. For beginners, Octoparse offers ready-made templates. Pick a tool matching your OS, skill level, and project scale! For more details, please read: https://momoproxy.com/blog/top-10-free-web-scrapers-in-2024 |
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How To Bypass Amazon CAPTCHA In 2025 Amazon’s CAPTCHA system blocks automated bots, disrupting web scraping. Here are advanced strategies to bypass it in 2025: 1. Use Stealth BrowsersMimic human behavior to avoid detection. Tools like SeleniumBase, Playwright Stealth, and undetected-chromedriver modify browser fingerprints. Example (SeleniumBase): python
from seleniumbase import Driver
driver = Driver(uc=True)
driver.get("https://www.amazon.com/product")
Amazon’s CAPTCHA is simple for AI. Use OCR models (e.g., GPT-4) to extract and input text automatically. Example (OpenAI): python
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": "Extract CAPTCHA text."}]
) Services like 2Captcha, Anti-Captcha, and CapMonster solve CAPTCHAs via AI or human workers. 4. Session PersistenceMaintain cookies and headers to appear as a returning user. Example (Python Requests): python
session = Session()
session.get("https://www.amazon.com") # Stores cookies
Rotating residential IPs (8000M+ global IPs) reduce detection. Example: python
proxies = {"http": "http://user:pass@proxy.momoproxy.com:port"}
session.get("https://amazon.com", proxies=proxies) Combine stealth browsing, AI solving, proxy rotation, and session management for smooth scraping. MoMoProxy enhances success rates further. For more details, please read: https://momoproxy.com/blog/bypass-amazon-captcha |
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Mastering Proxies for Effective Web Scraping in PythonIntroductionIn today's data-driven world, web scraping has become an essential tool for gathering valuable information. However, many websites implement strict anti-scraping measures. This is where proxies come into play - they help mask your identity and prevent IP bans. Let's explore how to implement proxies using Python's most popular tools. Implementation Methods1. urllib ApproachFor basic scraping needs, urllib's ProxyHandler provides simple proxy integration: python
proxy_settings = {
'http': 'http://username:password@proxy.momoproxy.com:8100',
'https': 'https://username:password@proxy.momoproxy.com:8100'
}
handler = urllib.request.ProxyHandler(proxy_settings)
opener = urllib.request.build_opener(handler)
response = opener.open('https://target-site.com')
The popular requests module makes proxy usage straightforward: python
session = requests.Session()
sessio[Suspicious link removed]oxies = {
'http': 'socks5://user:pass@proxy.momoproxy.com:8100',
'https': 'socks5://user:pass@proxy.momoproxy.com:8100'
}
data = session.get('https://api.example.com/data').json()
For JavaScript-heavy sites using Selenium: python
from selenium import webdriver
PROXY = "proxy.momoproxy.com:8100"
options = webdriver.ChromeOptions()
options.add_argument(f'--proxy-server={PROXY}')
driver = webdriver.Chrome(options=options)
driver.get("https://dynamic-website.com")
For large-scale scraping projects: python
# settings.py
ROTATING_PROXY_LIST = [
'proxy.momoproxy.com:8000',
'backup.proxy.momoproxy.com:8001'
]
# middlewares.py
class RotatingProxyMiddleware:
def process_request(self, request, spider):
request.meta['proxy'] = random.choice(self.proxy_list)
- Always implement proper request throttling - Rotate user-agents along with proxies - Handle proxy authentication securely - Monitor success rates and adjust proxy pools accordingly ConclusionEffective proxy implementation is crucial for successful web scraping. Whether you're using simple scripts with urllib/requests or complex crawlers with Selenium/Scrapy, services like MoMoProxy can provide the reliable proxy infrastructure you need. Remember to scrape responsibly and comply with all applicable laws and website terms of service. With these techniques, you'll be well-equipped to gather web data efficiently while avoiding common blocking mechanisms. related article, please read: https://momoproxy.com/blog/rotate-ip-python
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The Essential Guide to Proxy Rotation for Web ScrapingProxy rotation is a critical technique for successful web scraping in today's anti-bot environment. As websites implement increasingly sophisticated detection methods, proper proxy management can mean the difference between gathering valuable data and getting permanently blocked. Why Proxy Rotation MattersModern websites employ multiple defenses against scraping: - IP-based rate limiting (blocking IPs with too many requests) - Behavioral analysis (detecting non-human patterns) - Fingerprinting (tracking users through browser/device characteristics) Effective proxy rotation helps overcome these obstacles by: - Distributing requests across numerous IP addresses - Simulating natural user behavior patterns - Maintaining consistent data collection without interruptions Choosing the Right Proxy Type1. Datacenter Proxies - Fast and inexpensive - Easily detectable by advanced systems - Ideal for testing and low-risk projects 2. Residential Proxies - Use real home IP addresses - More expensive but harder to detect - Best for e-commerce and social media scraping 3. Mobile Proxies - Use cellular network IPs - Most expensive but most effective - Essential for scraping anti-bot protected sites Implementing Proxy Rotation in PythonBasic Rotation Example: python
import requests
from itertools import cycle
proxies = ["http://proxy1:port", "http://proxy2:port"]
proxy_pool = cycle(proxies)
for _ in range(10):
proxy = next(proxy_pool)
try:
response = requests.get(target_url, proxies={"http": proxy})
print(f"Success with {proxy}")
except:
print(f"Failed with {proxy}") : Session Persistence: Maintain consistent sessions for login-required sites Geographic Targeting: Use country-specific proxies for localized content Asynchronous Requests: Combine with async libraries for maximum efficiency Best Practices for Effective Rotation1. Combine with Other Anti-Detection Methods - Rotate user agents and headers - Vary click patterns and browsing behavior - Implement random delays between requests 2. Proxy Maintenance - Regularly test proxy health - Remove non-functioning proxies - Balance load across your proxy pool 3. Scaling Considerations - Start small and monitor success rates - Gradually increase request volume - Consider premium proxy services for large projects When to Use Premium ServicesFor enterprise-level scraping: High-reliability residential proxy networks Built-in rotation and geotargeting features Dedicated support and SLA guarantees ConclusionProper proxy rotation is fundamental to modern web scraping. By understanding the different proxy types, implementing smart rotation strategies, and combining with other anti-detection techniques, you can build robust scraping solutions that deliver consistent results while avoiding blocks. Remember to start simple, monitor performance closely, and scale your approach as needed. For more please read the detailed article: https://momoproxy.com/blog/rotate-proxy-for-scraping
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Proxy Scraper Japanese in 2025A proxy scraper Japanese collects Japanese proxy IPs for accessing geo-blocked content, ensuring anonymity and bypassing restrictions. Key Features Data Scraping: Gathers proxies from multiple sources. Filtering & Validation: Checks speed, anonymity, and location. Access Japanese Content: Unblocks streaming, news, and videos. Privacy Protection: Masks real IP addresses. Developer Use: Tests apps from a Japanese user’s perspective. Popular Tools Octoparse, Scrapy, Proxy-Scraper, ProxyScrape – Free options. MoMoProxy, Smartproxy, BrightData – Paid, reliable providers. Free vs. Paid Proxies Feature Free Proxies Paid Proxies Reliability Unstable High uptime Speed Slow Fast Security Risky Encrypted Support None Dedicated Risks & Considerations Legal issues (bypassing geo-blocks). Unreliable free proxies (malware risks). IP blocking (use rotating proxies). For secure, high-speed access, paid proxies (like MoMoProxy) are recommended. For more details please read: https://momoproxy.com/blog/proxy-scraper-japaneseFor free proxy list, please read: https://momoproxy.com/free-proxy-list
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Update for new users trial of 200M -1GB of residential proxies from MoMoProxy for data scraping in amazon, ebay, walmart, linkedin, wayfair: https://momoproxy.com/contactplease contact us to get a trial. |
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How To Bypass Amazon CAPTCHA In 2025 To bypass Amazon CAPTCHAs effectively, combine stealth browsing, AI-powered recognition, session persistence, human-like interactions, and third-party CAPTCHA-solving services. Integrating these methods with MoMoProxy’s advanced proxy solutions ensures seamless and uninterrupted data extraction. By following these best practices, you can enhance scraping efficiency while reducing CAPTCHA-related disruptions. For more details, please view: https://momoproxy.com/blog/bypass-amazon-captcha |
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Scraping Google Search Data: Best Practices and Methods Scraping Google Search data can be valuable for many applications, but it requires careful handling due to Google’s strict anti-scraping measures. The best approach depends on your specific needs: Google Custom Search API – The most reliable and compliant method for accessing search data. Puppeteer/Selenium – Ideal for dynamic, JavaScript-heavy pages, offering greater flexibility. Proxy Rotation & User-Agent Switching – Helps avoid detection by mimicking organic traffic. To minimize the risk of being blocked, follow best practices such as respecting rate limits, managing request delays, and handling CAPTCHAs effectively. for more details, please read: https://momoproxy.com/blog/scrape-google-search-data |
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