BeautifulSoup Jobs

I need a robust yet easy-to-maintain web scraper that pulls player statistics from four different sports sites—a blend of official league pages, sports news outlets, and a couple of well-known fan forums. All scraped data should flow into a single database and surface through a lightweight web dashboard where I can search by player, season, and team, compare numbers side by side, and export results to CSV. My ideal flow looks like this: enter or schedule the URLs, run or auto-run the scraper, watch progress logs, and then immediately view fresh stats inside the dashboard—no command-line work once everything is deployed. If any source changes its HTML, the scraper should fail gracefully and flag the issue in the UI so I can react quickly. Tech stack is flexible; Python with Be...

I need a robust AI-driven scraper that reliably pulls product text, images, SKUs, and pricing from selected e-commerce websites and our own admin-controlled catalog portals. The script must handle pagination, dynamic content, and, where required, authenticated sessions without manual intervention. Core expectations • Extract and store: product titles/descriptions, all associated images, SKU codes, and current prices. • Export: structured CSV or JSON for data, separate folder (or S3 bucket) for images, with clear file naming that links each image back to its SKU. • Tech stack: Python with libraries such as Scrapy, Playwright/Selenium, BeautifulSoup, or a comparable approach—whatever you can prove is most efficient and resilient. Basic computer-vision or OCR hoo...

I need a clean, well-structured scrape of vendor details from jiii.ng. The goal is straightforward: pull each vendor’s name and contact information and hand the results back to me in a single Excel workbook. Categories The focus is on the main marketplace sections. I will confirm the exact categories before you begin, but expect the usual high-traffic areas (Electronics, Real Estate, Automobiles) to be included. Data points • Vendor name • All available contact details (phone, email, WhatsApp, or any other channel the site exposes) Delivery You’ll give me: 1. The Excel file, one sheet per category, neatly labeled and deduplicated. 2. The script or notebook you used (Python with requests / BeautifulSoup, Scrapy, or a comparable tool is fine) so I c...

I have a small script that pulls plain-text content from a series of public web pages, but it has suddenly started throwing runtime errors before any data is returned. The pages themselves load fine in a browser, so the problem is clearly within my code or its dependencies. Here’s what you can expect from me: a zipped folder containing the current Python script, the list of target URLs, and a copy of the last error stack trace. I’ll also let you know which Python version and libraries (requests, BeautifulSoup, etc.) are in use so you can replicate the issue quickly. What I need from you: • Diagnose the exact cause of the errors • Deliver a clean, well-commented fix that reliably fetches all required text from each page • Briefly outline any library or env...

I need every piece of publicly available data pulled from three separate websites and packaged so I can work with it offline. The moment the contract is awarded I’ll hand you the URLs; from there I expect you to spin up an automated solution—Python with Scrapy, BeautifulSoup, Selenium, or a comparable stack—that captures all records, follows pagination, and handles any lazy-loaded content. Time is tight: the full job must be wrapped up within 3 calendar days. My total budget is fixed at US $300, so please be sure your approach fits comfortably inside that limit. Deliverables • A clean, well-structured file for each site (CSV or Excel, whichever you prefer) containing every scraped field. • The runnable scripts or notebooks you used, clearly commented so I ...

I need the complete catalogue from another website duplicated in my Magento store. The task covers scraping every product name and full description, collecting all associated images, recording each SKU, and capturing the current stock level, then loading the data into Magento so the items appear live, correctly categorised and fully functional. After award I will share the source URL and the exact product count. Your job is to extract the data, cleanse any stray HTML, resize or compress images to Magento-friendly dimensions, and map everything to my existing attribute set so layered navigation, search and inventory all behave as expected. Deliverables • A clean CSV (or direct admin import) that creates all products with names, descriptions, SKUs, stock figures and properly linked im...

I need a clean, one-off scrape of a large online retailer (I’ll share the exact store and URLs once we agree). The job is straightforward: pull three data points for every product I specify—current price, stated delivery time, and offer type (Retail, Seller, or Seller but shipped by Retail). The site employs standard anti-bot measures, so rotating proxies, respectful delays, or headless browsing may be required to keep requests under the radar. Please build the script with Python—BeautifulSoup, Scrapy, Playwright, or any reliable stack is fine—as long as it can be rerun on my side without extra fees or licences. Deliverables • A single Excel workbook.  – One sheet per category or URL I provide  – Columns: Product identifier (ASIN...