{"id":24432348,"url":"https://github.com/drisskhattabi6/data-scraping-tasks","last_synced_at":"2026-04-22T12:39:19.479Z","repository":{"id":253916062,"uuid":"841564825","full_name":"drisskhattabi6/Data-Scraping-Tasks","owner":"drisskhattabi6","description":"This repository showcases my data scraping Tasks, where I have used Python libraries to extract, process, and analyze data from the web.","archived":false,"fork":false,"pushed_at":"2025-01-13T12:55:04.000Z","size":5857,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-20T15:47:57.477Z","etag":null,"topics":["data-scraping","data-scraping-projects","etsy","scraper","scrapethissite","scraping","toscrape","wikipedia","worldometers"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/drisskhattabi6.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-08-12T16:53:13.000Z","updated_at":"2025-01-13T12:55:07.000Z","dependencies_parsed_at":"2024-08-20T10:28:31.500Z","dependency_job_id":"20bea375-8e1c-4ae4-89b3-48215765f473","html_url":"https://github.com/drisskhattabi6/Data-Scraping-Tasks","commit_stats":null,"previous_names":["drisskhattabi6/data-scraping-projects","drisskhattabi6/data-scraping-tasks"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/drisskhattabi6%2FData-Scraping-Tasks","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/drisskhattabi6%2FData-Scraping-Tasks/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/drisskhattabi6%2FData-Scraping-Tasks/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/drisskhattabi6%2FData-Scraping-Tasks/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/drisskhattabi6","download_url":"https://codeload.github.com/drisskhattabi6/Data-Scraping-Tasks/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243475358,"owners_count":20296712,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-scraping","data-scraping-projects","etsy","scraper","scrapethissite","scraping","toscrape","wikipedia","worldometers"],"created_at":"2025-01-20T15:39:44.970Z","updated_at":"2025-12-28T12:48:45.378Z","avatar_url":"https://github.com/drisskhattabi6.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Data Scraping Tasks\n\nWelcome to the **Data Scraping Tasks** repository! This repository showcases my data scraping Tasks, where I have used Python and various libraries (like `BeautifulSoup`, `Scrapy`, and `Requests`) to extract, process, and analyze data from the web. Each project is stored in its respective folder with detailed explanations, code, and datasets.\n\n---\n\n## Projects Overview\n\n### 1. [Books to Scrape](https://github.com/drisskhattabi6/data-scraping-projects/tree/main/Books%20to%20Scrape)\nThis project extracts book information (title, price, rating, availability, etc.) from the [Books to Scrape website](http://books.toscrape.com/). The dataset can be useful for e-commerce analysis, book categorization, and price comparisons.\n\n### 2. [Quotes to Scrape](https://github.com/drisskhattabi6/data-scraping-projects/tree/main/Quotes%20to%20Scrape)\nIn this project, quotes, authors, and tags are scraped from the [Quotes to Scrape website](http://quotes.toscrape.com/). This dataset is great for sentiment analysis or NLP experiments.\n\n### 3. [Countries of the World](https://github.com/drisskhattabi6/data-scraping-projects/tree/main/Countries%20of%20the%20World)\nThis project focuses on extracting detailed information about countries, including names, capitals, and population. The dataset can support geographical and demographic analysis.\n\n### 4. [Etsy Product](https://github.com/drisskhattabi6/data-scraping-projects/tree/main/Etsy%20Product)\nData is scraped from Etsy product listings, including product names, prices, and seller details. This project is useful for market research and competitor analysis in the e-commerce space.\n\n### 5. [Hockey Teams](https://github.com/drisskhattabi6/data-scraping-projects/tree/main/Hockey%20Teams)\nA project that collects information about hockey teams, their players, and match statistics. It is ideal for sports analytics and fan engagement projects.\n\n### 6. [List of Largest Companies in the USA by Revenue](https://github.com/drisskhattabi6/data-scraping-projects/tree/main/List%20of%20largest%20companies%20in%20the%20USA%20by%20Revenue)\nThis project extracts financial data about the largest companies in the USA by revenue. The dataset supports financial analysis and insights into the U.S. economy.\n\n### 7. [Moviesjoy Movies Data](https://github.com/drisskhattabi6/data-scraping-projects/tree/main/Moviesjoy%20Movies%20Data)\nScrapes data from the Moviesjoy website, including movie titles, genres, and ratings. The dataset can be leveraged for building recommendation systems or film research.\n\n### 8. [Wikipedia Page](https://github.com/drisskhattabi6/data-scraping-projects/tree/main/Wikipedia%20Page)\nThis project demonstrates how to scrape structured data from Wikipedia pages. It is a versatile tool for extracting general knowledge or niche information.\n\n### 9. [World Countries Population](https://github.com/drisskhattabi6/data-scraping-projects/tree/main/World%20Countries%20Population)\nScrapes data about the population of countries worldwide. This dataset is perfect for demographic studies and visualization projects.\n\n### 10. [World Population Data](https://github.com/drisskhattabi6/data-scraping-projects/tree/main/World%20Population%20Data)\nSimilar to the previous project but includes additional attributes like growth rate, density, and urban population percentages for deeper insights into global population trends.\n\n---\n\n## Key Features\n- **Clean and Organized:** Each project includes a folder with code, README file, and scraped dataset for easy navigation and replication.\n- **Scalable Codebase:** Designed to handle dynamic content and adapt to changes in website structures.\n- **Reusable Scripts:** Scripts can be reused and customized for scraping similar data from other sources.\n\n---\n\n## Tools and Technologies Used\n- **Libraries:** `BeautifulSoup`, `Scrapy`, `toscrap`, `Requests`, `Pandas`\n- **Languages:** Python\n- **Applications:** Data analysis, visualization, and insights generation\n\n---\n\n## How to Use\n1. Clone this repository:\n   ```bash\n   git clone https://github.com/drisskhattabi6/Data-Scraping-Tasks.git\n   ```\n2. Navigate to the desired project folder.\n3. Follow the instructions in the project's README file to run the scraping script.\n\n---\nIf you have any questions or suggestions, feel free Contact me.\nHappy Scraping! 🚀\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdrisskhattabi6%2Fdata-scraping-tasks","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdrisskhattabi6%2Fdata-scraping-tasks","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdrisskhattabi6%2Fdata-scraping-tasks/lists"}