Scrapy 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 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: ""}]

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)