Search Results for "run sackboy run"
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Showing 15 open source projects for "run sackboy run"
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1
JobFunnel
Scrape job websites into a single spreadsheet with no duplicates.
...You can search for jobs with YAML configuration files or by passing command arguments. By performing regular scraping and reviewing, you can cut through the noise of even the busiest job markets. Run funnel with your settings YAML to populate your master CSV file with jobs from available providers. JobFunnel can be easily automated to run nightly with crontab. If you have a job website you'd like to write a scraper for, you are welcome to implement it, Review the Base Scraper for implementation details. JobFunnel supports scraping jobs from the same job website across locales & domains. ... -
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Scrapy
A fast, high-level web crawling and web scraping framework
Scrapy is a fast, open source, high-level framework for crawling websites and extracting structured data from these websites. Portable and written in Python, it can run on Windows, Linux, macOS and BSD. Scrapy is powerful, fast and simple, and also easily extensible. Simply write the rules to extract the data, and add new functionality if you wish without having to touch the core. Scrapy does the rest, and can be used in a number of applications. It can be used for data mining, monitoring and automated testing. -
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tumblr-crawler
Python crawler to download photos and videos from Tumblr blogs
tumblr-crawler is an open source Python-based utility designed to download media content from Tumblr blogs. It provides a script that automatically retrieves photos and videos from specified Tumblr sites and saves them locally for offline access. Users can specify one or multiple blogs to crawl by editing a configuration file or by passing parameters through the command line. Once executed, the script fetches media from the Tumblr API and stores the downloaded files in folders named after... -
4
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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5
FinalRecon
All-in-one Python web reconnaissance tool for fast target analysis
FinalRecon is an all-in-one web reconnaissance tool written in Python that helps security professionals gather information about a target website quickly and efficiently. It combines multiple reconnaissance techniques into a single command-line utility so users do not need to run several separate tools to collect similar data. FinalRecon focuses on providing a fast overview of a web target while maintaining accuracy in the collected results. It includes modules for gathering server information, analyzing SSL certificates, performing WHOIS lookups, and crawling website resources. FinalRecon can also enumerate DNS records, discover subdomains, search for directories and files, and scan common network ports. ... -
6
Letterboxd Recommendations
Scraping publicly-accessible Letterboxd data for movie recommendations
...Their ratings are then combined with a sample of ratings from the top 4000 most active users on the site to create a collaborative filtering recommender model using singular value decomposition (SVD). All movies in the full dataset that the user has not rated are run through the model for predicted scores and the items with the top predicted scores are returned. Due to constraints in time and computing power, the maximum sample size that a user is allowed to select is 500,000 samples, though there are over five million ratings in the full dataset from the top 4000 Letterboxd users alone. -
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dude uncomplicated data extraction
dude uncomplicated data extraction: A simple framework
...The design, inspired by Flask, was to easily build a web scraper in just a few lines of code. Dude has an easy-to-learn syntax. Dude is currently in Pre-Alpha. Please expect breaking changes. You can run your scraper from terminal/shell/command-line by supplying URLs, the output filename of your choice and the paths to your python scripts to dude scrape command. -
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Gerapy
Distributed Crawler Management Framework Based on Scrapy
...It is basically a necessary tool for developing crawlers using Python. If you use Scrapy as a crawler, then of course we can use our own host to crawl when crawling, but when the crawl is very large, we can’t run the crawler on our own machine, a good one. The method is to deploy Scrapy to a remote server for execution. At this time, you might use Scrapyd. With it, we only need to install Scrapyd on the remote server and start the service. We can deploy the Scrapy project we wrote. Go to the remote host. In addition, Scrapyd provides a variety of operations API, which gives you free control over the operation of the Scrapy project. -
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Scrapyd
A service daemon to run Scrapy spiders
...The versions are not compared alphabetically but using a smarter algorithm (the same packaging uses) so r10 compares greater to r9, for example. Scrapyd is an application (typically run as a daemon) that listens to requests for spiders to run and spawns a process for each one. Scrapyd also runs multiple processes in parallel, allocating them in a fixed number of slots given by the max_proc and max_proc_per_cpu options, starting as many processes as possible to handle the load. -
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10
instagram-profilecrawl
Instagram profile crawler that extracts posts, tags, and stats
...It operates by automating a web browser using Selenium and performing requests to gather structured information from the platform. instagram-profilecrawl can analyze multiple usernames in a single run and store the extracted information locally in structured formats such as JSON. The collected data can include profile metadata, post details, engagement metrics, and commenter activity, allowing users to analyze account behavior or monitor profile growth over time. It also provides scripts for downloading images from crawled profiles and logging statistics into CSV files for tracking metrics like followers, likes, and comments. ... -
11
ruia
Async Python framework for fast and flexible web scraping spiders
...Ruia is powered by Python’s asyncio library along with aiohttp, enabling developers to perform concurrent network requests efficiently and scrape data from websites with minimal overhead. Ruia follows a “write less, run faster” philosophy, emphasizing concise code and streamlined spider development. It provides a structured approach to building scraping projects through components such as data items, spiders, middleware, and plugins. Developers can define structured fields to extract information from HTML content and process responses asynchronously to improve crawling performance. ... -
12
yabasta
Yet Another BAsic Scraper and Text Analysis
...is a Python/R application for Lyrics Web Scraper and Text Analysis. Web scraping is developed in Python, text analysis in R as Python subprocesses. YA BASTA! is only tested on windows OS. To run YA BASTA! just type on window command prompt: python.exe yabasta.py -
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Twitter Intelligence
Twitter Intelligence OSINT project performs tracking and analysis
A project written in Python for Twitter tracking and analysis without using Twitter API. This project is a Python 3.x application. The package dependencies are in the file requirements.txt. Run that command to install the dependencies. SQLite is used as the database. Tweet data is stored on the Tweet, User, Location, Hashtag, HashtagTweet tables. The database is created automatically. analysis.py performs analysis processing. User, hashtag, and location analyzes are performed. You must write Google Map API Key in setting.py to display Google Maps. -
14
pyspider
A powerful Spider(Web Crawler) system in Python
...That means, when process is slow, you can have many instances of processor and make full use of multiple CPUs, or deploy to multiple machines. This architecture makes pyspider really fast. benchmarking. Since pyspider has various components, you can just run pyspider to start a standalone and third service free instance. Or using MySQL or MongoDB and RabbitMQ to deploy a distributed crawl cluster. To deploy pyspider in product environment, running component in each process and store data in database service is more reliable and flexible. To deploy pyspider components in each single processes, you need at least one database service. pyspider now supports MySQL, MongoDB and PostgreSQL. ... -
15
haipproxy
Distributed proxy IP pool for web crawlers using Scrapy and Redis
...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. Its architecture supports distributed deployment, allowing multiple crawler workers and validators to run across different machines.
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