BeautifulSoup Jobs

I need a robust script that automatically collects structured data from a set of public-facing websites I will share once the work begins. The goal is to pull the required fields, normalise them, and hand them back to me in clean CSV or JSON files while keeping the code easy to maintain and rerun. Category Item Name Size (ML/L) Quantity ABV Price Bottle/Can Deposit Image URL Only 600 data Budget $5

I need a robust web-scraping solution that automatically collects product information from several e-commerce websites. The focus is on two key data points: • Product name and full description • Customer reviews and ratings Price and availability are not required this time, so the crawler can ignore any endpoints related to stock or cost. Please build the script so I can run it on demand and easily point it at new store URLs in the future. Python with BeautifulSoup, Scrapy, or a similar framework suits me fine, as long as the code is clean, well-commented, and leverages polite scraping practices (respectful delays, user-agent rotation, handling captchas when possible). Deliverables: 1. Working scraper code with clear setup instructions 2. Sample CSV or JSON export c...

Project Title: Large-Scale Course Data Scraping from Udemy, Coursera, and YouTube Project Overview: I am looking for an experienced data scraping specialist who can collect a large dataset of online courses and tutorials from platforms such as Udemy, Coursera, and YouTube. The dataset should include both technical and non-technical tutorials. The objective is to build a structured dataset that can be used for research and analytics purposes. Project Requirements: The freelancer will scrape approximately 200,000 course/tutorial records from the following platforms: - Udemy - Coursera - YouTube The collected dataset should contain the following information for each record: 1. Course / Tutorial Title 2. Course URL / Video URL 3. Platform Name (Udemy / Coursera / YouTube) 4...

We need a robust yet lightweight script that can automatically pull business details from a publicly accessible government website. The information to capture will centre on business details, such as registration numbers, business name, registration date, address, etc. The workflow should: • Navigate every relevant section of the site (pagination, search filters, subsidiary pages). • Extract the required fields accurately • Export clean, structured data to CSV and JSON A Python solution leveraging requests/BeautifulSoup or Scrapy is preferred, but I’m open to other dependable stacks if they handle rate-limits, retries, and potential CAPTCHA gracefully. The script must be easy to rerun on demand, with clear instructions for environment setup and any dependencies...

Seeking a skilled web designer to create a clean, minimalistic website to showcase services. The website's primary function will be to highlight our offerings in a sleek, digestible format that engages visitors and inspires a sense of professionalism and quality. Features needed include: - A contact form to facilitate customer inquiries - Subscriber sign-up option for customers to receive updates and newsletters - A blog/news section to post updates and relevant content - An 'add listing' feature to display products effectively - Banner slide out et - Social Scroll It's crucial for the designer to have a keen eye for creating layouts that promote readability and user experience. Experience in minimalistic design can use template. Images & website examples will be...

I have around 7,000 Aliexpress products that I need fully harvested for content-creation purposes. From each listing I only require the official product photos and any product videos—no customer review photos. Everything should come back to me in ready-to-use JPEG for images and MP4 for videos, preserved at the highest resolution Aliexpress serves. Please pull all files directly from the product gallery and video carousel, avoiding watermarks or compression wherever possible. A light file-name convention that ties each asset to its product URL or SKU will make downstream editing much easier for me. Deliverables: • Folder structure or archive segmented by product (one folder per listing). • Inside each folder: all JPEG images and any MP4 videos found. • A simple C...

I have a list of roughly 1500 URLs—each coming from the same automotive website—that together cover the top 100 makes, models, grades and variants sold in Australia. I need every data point the site makes available for each of those vehicles, from the obvious specs such as year, make, model and variant right through to driveway prices, engine type, transmission, drive configuration, warranty details, fuel-economy figures, in-car technology features, seating layouts and any other attributes exposed on the page. The end goal is a clean, analysis-ready Excel workbook that lets me run market-wide comparisons, so consistency is critical: headings must be standardised, units normalised and categorical values written the same way across the entire sheet. I am happy for you to use P...

I need a reliable script that can pull live pricing details for car rentals from both the rental companies’ own sites and the big aggregator platforms in one pass. The goal is to feed it pickup / drop-off locations, dates, and driver age, then receive a clean CSV or JSON that lists vehicle class, daily and total price, currency, taxes & fees, and the URL it was scraped from. The scraper has to: • Navigate each target site automatically, including date pickers and location selectors. • Rotate user-agents / proxies or apply any other anti-bot tactics necessary to stay undetected. • Capture and log errors so a failed request never silently drops a row. • Be easy for me to rerun on demand—command-line or small web UI is fine, as long as setup is s...

I want to build a clean, well-structured dataset of restaurants throughout Portugal by scraping publicly available information on Google (Search / Maps). The core of the job is to capture three things for every venue you find: • complete contact details (name, address, phone, email or website if listed) • ratings plus review count pulled exactly as Google displays them • whether the place offers a fixed-price menu (“menu do dia”) and, if so, its price and what is included (possible 5 stages: Entrance, Plate, Drink, Dessert, Coffee) but it can be only 2 stages out of 5 (example: Plate+Drink) Please also tag each record with its district and municipality so the file can be filtered regionally. Deliverables 1. A single CSV or Excel file containing one row ...

I have a spreadsheet (~5,000 product rows) where each row contains a full HTML eBay listing template. Each row includes: ID SKU Description Short description The Description field contains a large block of HTML (decorative listing template), but the actual product description is embedded inside it. Your job is to extract the correct text. 1. Extract the Correct Description In every row, the real product description is located inside this HTML block: <div class="desc-rd desc-text"> Requirements: Extract only the content inside this div Ignore all other HTML content in the row (menus, images, headers, shipping info, footer, etc.) Do not use the rest of the HTML outside this block 2. Clean the Extracted Text The content inside the div typically contains HTML such as...

I need you to collect 1,000 product images, titles, and links from Temu. Just these three items. I think this should be pretty straightforward. If you do a good job, I’ll hire you on a long-term basis, as I’ll need someone to help me collect product information from Temu on an ongoing basis.