BeautifulSoup Jobs

Hi, We're looking for web scraping specialists or data engineers who extract data, whether at small scale or at scale on behalf of clients, to evaluate a new tool that's currently live. Freelancers we've shown it to are cutting scraping time by 3x or more and saving over 90% on LLM token costs at scale, with no AI hallucinations, taking on far more clients without the extra overhead. We're looking for freelancers to test it, share feedback, and see if it can have the same impact for you. A 15 minutes call is all we need. Thanks!

I'm looking for a developer to create a Discord bot that will track the availability and price changes of One Piece booster boxes and sealed cases across multiple websites, including eBay, Amazon, and specialty card stores. Key functionalities include: - Send alerts for stock availability and price changes - Monitor eBay, Amazon, and specialty card stores - Deliver alerts via channel notifications on Discord Ideal Skills and Experience: - Experience with Discord bot development - Familiarity with web scraping or API integration - Knowledge of Discord's notification system - Ability to manage multiple data sources efficiently Please provide examples of similar work if possible.

I need to build a clean, comprehensive dataset of business contact details pulled from multiple online directories as well as the relevant SOS (Secretary-of-State) websites. The scale is large enough that you should already be comfortable managing pagination, dynamic content, hidden API calls, and the occasional login or captcha. Here is what the engagement will involve: • Source coverage – start with the directories and SOS sites I specify; be prepared to expand if a source proves thin or misses key fields. • Field accuracy – at minimum I expect company name, full postal address, phone, email, and any registration numbers available on the SOS records. • Data hygiene – deduplicate across sources, normalise addresses, and flag obviously invalid phones ...

We are looking for an experienced Python developer to build a robust web scraper for a car rental platform. Project Overview The objective of this project is to develop a scraper capable of accessing a car rental website and extracting all publicly available vehicle rental offers across every location available in the country. The scraper must collect detailed information for each available vehicle and rental offer, including but not limited to: Vehicle name/model Vehicle category/type Daily/weekly/monthly pricing Rental rates and fees Taxes or additional charges (if visible) Availability information Pickup and return locations Promotions or discounts Vehicle specifications/features Images/URLs (if applicable) Any other relevant offer details displayed on the website Technical Requirements...

Description Develope me an webscrapper that is complaint with the cookies and captchas for the following websites: - - - - - - - - - - - - - Technology: Python Libary to use: from import Request, urlopen For the search request for the page an object like the following should be delievered [{title: "Apartment 1", price: "", link: ""}, {title: "Apartment 1", price: "", link: ""}, {title: "Apartment 1", price: "", link: ""}, {title: "Apartment 1", price: "", link: ""}, {title: "Apartment 1", price: "", link: ""}, {title: "Apartment 1", price: "", link: ""}]

I need a lightweight Python script that takes any search‐results URL and returns a clean dataset ready for analysis. For every listing on the page the script must capture: address, postal code, city, property type, and the listing’s direct link. Once scraped, the data should be saved automatically to both XLSX and CSV formats. Core expectations • Command-line or simple GUI input for the URL • Reliable parsing (requests/BeautifulSoup, Selenium or similar) that copes with pagination and common site layout changes • Output written with pandas or openpyxl so the Excel file is properly formatted • Clear, well-commented code plus a brief README showing how to run the script, set up any virtual environment, and change dependencies if updates its HTML Accepta...

From Pakistan, or India Junior Level work and at low budget. I need a dependable junior-level Python coder to jump into my existing workflow and tackle small, clearly defined tasks as they arise. Typical assignments include writing concise modules, cleaning up legacy scripts, and making sure new code slots in neatly with what’s already there. I’ll supply detailed tickets and unit tests; you return clean, well-commented code that passes those tests. Fluency with core Python 3, Git, and virtual environments is essential. Familiarity with libraries such as Pandas, BeautifulSoup, or Selenium will make your life easier, but an eagerness to learn quickly matters more than any single tool. Turnaround is usually one to three days per ticket. For each task, please deliver: • The ...

I need a reusable scraping script that pulls a large-scale dataset—roughly 10,000 to 15,000 records—of UK-based removal companies, moving services and “man & van” providers from these six platforms: Google Maps, Yell, Facebook, Gumtree, Checkatrade and Trust a Trader. For every company the script should capture, where available, the brand name, contact-page URL, phone number, email address, full street address and postcode. Because I will rerun this search in about six months, the code must be easy to configure (date, location or radius tweaks rather than major rewrites) and capable of completing the full crawl again without manual intervention. Data quality is important to me, so please build in duplicate detection, basic normalisation (e.g., consistent pos...

Parse HTML content using tools like BeautifulSoup or Scrapy access data through an APIFY Performing sentiment analysis or keyword extraction on text-based data After collecting enhanced data, choose and apply at least one type of analysis: Sentiment analysis for reviews or comments or visualization for frequency of keywords advise of any challenges Submit the following items in a single compressed (.zip) folder: Your updated Python script (.py) Your dataset (.csv) A graph or chart showing analysis results (.png or .jpg)