{"id":28998585,"url":"https://github.com/luminati-io/zalando-dataset-samples","last_synced_at":"2026-02-02T06:03:29.607Z","repository":{"id":283784050,"uuid":"886112229","full_name":"luminati-io/Zalando-dataset-samples","owner":"luminati-io","description":"A sample dataset of over 1000 Zalando products , extracted using the Bright Data API, ideal for pricing optimization, product inventory gaps, and market strategy optimization","archived":false,"fork":false,"pushed_at":"2024-11-10T09:03:53.000Z","size":2613,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-03-22T07:02:04.759Z","etag":null,"topics":["dataset","datasets","zalando","zalando-api","zalando-dataset"],"latest_commit_sha":null,"homepage":"https://brightdata.com/products/datasets/zalando","language":null,"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/luminati-io.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":"2024-11-10T08:22:22.000Z","updated_at":"2024-11-10T09:05:43.000Z","dependencies_parsed_at":"2025-03-22T07:02:11.320Z","dependency_job_id":"ac10491f-f132-4744-bd0b-b65b90e3fcbb","html_url":"https://github.com/luminati-io/Zalando-dataset-samples","commit_stats":null,"previous_names":["luminati-io/zalando-dataset-samples"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/luminati-io/Zalando-dataset-samples","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/luminati-io%2FZalando-dataset-samples","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/luminati-io%2FZalando-dataset-samples/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/luminati-io%2FZalando-dataset-samples/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/luminati-io%2FZalando-dataset-samples/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/luminati-io","download_url":"https://codeload.github.com/luminati-io/Zalando-dataset-samples/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/luminati-io%2FZalando-dataset-samples/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261823771,"owners_count":23215149,"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":["dataset","datasets","zalando","zalando-api","zalando-dataset"],"created_at":"2025-06-25T07:09:16.045Z","updated_at":"2026-02-02T06:03:29.552Z","avatar_url":"https://github.com/luminati-io.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Zalando-dataset-samples\n\n\u003ch2\u003eA sample dataset of 1001 Zalando products\u003c/h2\u003e\n\n![Zalando dataset header](https://github.com/luminati-io/Zalando-dataset-samples/blob/main/Zalando-datasets.png)\n\nA Zalando dataset sample of over 1000 records. Dataset was extracted using the \u003cb\u003eBright Data API\u003c/b\u003e.\n\n\u003ch2\u003eSome of the data points that are included in the Zalando dataset:\u003c/h2\u003e\n\n* ```domain```: The domain or category to which the product belongs\n* ```country_code```: The country code associated with the product\n* ```url```: The URL or link to view the full details of the product online\n* ```sku```: The Stock Keeping Unit, a unique identifier for the product\n* ```condition```: The condition of the product\n* ```gender```: The target gender for the product\n* ```product_name```: The name or title of the product\n* ```brand```: The brand of the product\n* ```description```: A detailed description of the product\n* ```manufacturer```: The manufacturer or producer of the product\n* ```badges```: Any special badges or labels associated with the product\n* ```initial_price```: The initial (original) price of the product\n* ```final_price```: The final (discounted) price of the product\n* ```discount```: The discount percentage applied to the product\n* ```currency```: The currency in which the prices are listed\n* ```inventory```: Information about the available inventory of the product\n* ```is_sale```: Indicates if the product is currently on sale\n\nAnd a lot more.\n\nThis is a sample subset which is derived from the \"Zalando products\"\ndataset which includes more than \u003cb\u003e9.7M records\u003c/b\u003e.\n\nAvailable dataset file formats: \u003cb\u003eJSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz\u003c/b\u003e.\n\nDataset delivery type options: \u003cb\u003eEmail, API download, Webhook, Amazon S3, Google Cloud storage, Google Cloud PubSub, Microsoft Azure, Snowflake, SFTP\u003c/b\u003e.\n\nUpdate frequency: \u003cb\u003eOnce, Daily, Weekly, Monthly, Quarterly, or Custom basis\u003c/b\u003e.\n\nData enrichment available as an addition to the data points extracted: \u003cb\u003eBased on request.\u003c/b\u003e\n\n\u003cb\u003e[Get the full Zalando dataset](https://brightdata.com/products/datasets/zalando)\u003c/b\u003e.\n\n\u003ch2\u003eWhat are the Zalando datasets use cases?\u003c/h2\u003e\n\n\u003ch3\u003e1. Pricing Optimization\u003c/h3\u003e\nDevelop a pricing strategy and implement dynamic pricing models by comparing Zalando products and categories with those of competitors.\n\n\u003ch3\u003e2. Product Inventory Optimization\u003c/h3\u003e\nTo identify inventory gaps, track increased demand for specific products, and highlight trending items within Zalando's product range.\n\n\u003ch3\u003e3. Market Strategy Optimization\u003c/h3\u003e\nEnhance market strategies by analyzing key trends and customer preferences using the Zalando dataset.\n\n\u003ch2\u003eFree access to web scraping tools and datasets for academic researchers and NGOs\u003c/h2\u003e\n\nThe Bright Initiative offers access to Bright Data's \u003cb\u003e[Web Scraper APIs](https://brightdata.com/products/web-scraper)\u003c/b\u003e and \u003cb\u003e[ready-to-use datasets](https://brightdata.com/products/datasets)\u003c/b\u003e to leading academic faculties and researchers, NGOs and NPOs promoting various environmental and social causes. You can submit an application \u003cb\u003e[here](https://brightinitiative.com)\u003c/b\u003e.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fluminati-io%2Fzalando-dataset-samples","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fluminati-io%2Fzalando-dataset-samples","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fluminati-io%2Fzalando-dataset-samples/lists"}