Search Results for "data collection algorithm"
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Showing 16 open source projects for "data collection algorithm"
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douyin
Open source Douyin crawler for collecting and downloading public data
DouyinCrawler is an open source data collection tool designed to gather publicly available information from the Douyin platform. It demonstrates how to build a Python-based web crawler combined with a graphical interface and command line functionality. It allows users to collect data from various types of Douyin content, including user profiles, videos, hashtags, and music pages. -
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FEAPDER
Powerful Python crawler framework for scalable web scraping tasks
feapder is a Python-based web crawling framework designed to simplify the process of building scalable and efficient web scrapers. It focuses on providing a developer-friendly environment that makes it easier to create, run, and manage crawlers for a variety of data collection tasks. It includes several built-in spider types, such as AirSpider, Spider, TaskSpider, and BatchSpider, which address different crawling scenarios ranging from lightweight scraping to distributed and batch-based jobs. feapder supports features such as breakpoint resume, allowing crawlers to continue from where they stopped without losing progress. ... -
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crawler
Collection of JS reverse engineering examples for web scraping study
crawler is a collection of web scraping and JavaScript reverse engineering examples designed for learning how modern websites protect their data and how those protections can be analyzed. It contains many case studies that demonstrate how to analyze and replicate request parameters, cookies, and encryption logic used by real websites. Each directory in the project focuses on a specific target service or scenario, showing how browser network requests and JavaScript code can be studied to reproduce API calls programmatically. ... -
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Weibo Crawler
Python crawler for collecting and downloading Sina Weibo user data
weibo-crawler is a Python-based data collection tool designed to retrieve information from Sina Weibo user accounts. It automates the process of gathering posts, user profile details, and engagement metrics from one or more target accounts. weibo-crawler can extract comprehensive information about users, including profile attributes such as nickname, follower count, following count, and account metadata. -
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Scweet
Scrape tweets, profiles, followers and following from Twitter/X
Scweet is a Python-based Twitter/X scraping library and CLI designed to collect tweets, profile timelines, followers, following lists, and user profile data without requiring the official Twitter/X API or a developer account. Instead of depending on deprecated unauthenticated scraping methods, it works by using X’s web GraphQL API together with authenticated browser cookies, which gives it a more current and practical approach for data extraction. The project supports a broad set of collection patterns, including searches by keyword, hashtag, user, date range, engagement thresholds, language, and location, making it useful for research, monitoring, and data gathering workflows. ... -
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watercrawl
AI-ready web crawler that extracts and structures website content
...WaterCrawl supports customizable extraction rules so users can focus only on relevant elements while ignoring unnecessary page components. WaterCrawl also offers real-time monitoring capabilities, allowing users to track crawling progress, performance metrics, and errors during large data collection jobs. Developers can integrate the tool into applications through a REST API and multiple client SDKs, enabling automated data pipelines and AI data preparation workflows. -
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spider_collection
Collection of Python web scraping scripts for data extraction tasks
...Several scripts also incorporate multi-threading and proxy usage to improve scraping efficiency and help avoid common anti-scraping limitations. In addition to raw data collection, some spiders include basic data processing and analysis using tools such as pandas and simple visualization with matplotlib. It also contains examples of proxy pool integration and encapsulation to support more reliable crawling when working with sites that enforce request limits. -
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DecryptLogin
Python library providing APIs for automated website login workflows
...DecryptLogin supports a wide variety of online services and platforms, including social media sites, developer platforms, cloud services, and other web portals. Developers can integrate these login routines into automation scripts, crawlers, or data collection tools that require authenticated sessions. It also provides example utilities and automation scripts demonstrating how the login APIs can be used in practical scenarios. -
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mlscraper
ML-based HTML scraper that learns extraction rules from examples
mlscraper is a Python library designed to automatically extract structured data from HTML pages without requiring developers to manually write CSS selectors or XPath rules. Instead of defining extraction logic by hand, users provide a few examples of the data they want to retrieve from a webpage. It analyzes those examples within the HTML document and determines patterns or rules that can be used to extract the same type of information from similar pages. Once trained, the generated scraper... -
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Scylla
Intelligent proxy pool for collecting and managing public proxies
Scylla is an open source proxy pool system designed to collect, validate, and manage large numbers of public proxy servers for use in web scraping and data extraction workflows. It automatically crawls the internet to discover proxy IP addresses and evaluates their availability and reliability before adding them to a usable pool. It includes a JSON API that allows developers and applications to retrieve proxy information programmatically, making it easier to integrate proxy rotation into... -
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lxspider
Educational Python web scraping case collection for many sites
lxSpider is a collection of web scraping examples designed primarily for learning and experimentation with data extraction techniques. It gathers numerous crawler implementations that demonstrate how to collect data from a wide range of websites and online services. It focuses heavily on practical cases that illustrate how different platforms handle requests, authentication parameters, and anti-scraping protections. lxSpider includes examples targeting areas such as e-commerce platforms, social media services, content sites, research databases, and information portals. ... -
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GoogleScraper
Python tool for scraping search engine results from many providers
GoogleScraper is a Python-based tool designed to automatically collect and process search engine results from multiple providers. It enables developers and researchers to programmatically query search engines and extract useful information such as links, titles, and result descriptions. GoogleScraper supports several major search engines and can be used to gather structured datasets from search result pages for further analysis. It provides two different scraping approaches: sending direct... -
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ECommerceCrawlers
Collection of Python ecommerce and website crawler examples projects
ECommerceCrawlers is a collection of practical Python web crawler projects designed to gather data from a variety of ecommerce platforms, websites, and online services. It aggregates many independent crawler examples created by contributors and organized into separate subprojects that target specific sites or data sources. These examples demonstrate how to build and operate web scrapers capable of collecting structured information such as product listings, news content, job postings, social media data, and other publicly available web data. ... -
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mzitu
Python crawler that downloads image galleries and analyzes titles
...This makes the repository both a scraping example and a small data analysis experiment built around the collected content. Overall, mzitu serves as a learning-oriented implementation of Python web scraping, data processing, and visualization techniques. -
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WeChatSogou
Python library to crawl and retrieve data from WeChat accounts
...These components work together to process HTTP requests, handle verification mechanisms, and transform HTML or JSON responses into usable objects. Developers can integrate the library into scripts or larger data collection systems to automate gathering content from public accounts. -
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haipproxy
Distributed proxy IP pool for web crawlers using Scrapy and Redis
...It automatically crawls proxy resources from the internet and aggregates them into a centralized pool that can be accessed by distributed spiders and scraping systems. It is built using Python and relies on Scrapy for high-performance crawling while Redis is used for data storage, communication, and task coordination between components. It includes crawlers that discover proxy servers, validators that test proxy availability and performance, and schedulers that manage crawling and validation tasks. HAipproxy aims to maintain a high availability proxy pool with low latency so that scraping frameworks can rotate proxies efficiently and avoid blocking during large-scale data collection. ...
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