Indeed Scraper Apify

@leelakalidas32

Hello Sir, I can develop a Google Colab web scraper that collects structured data (titles, dates, prices/comments), handles pagination, parses HTML using BeautifulSoup or Scrapy, cleans the dataset by removing duplicates, handling missing values, standardizing formats, and exports the final cleaned CSV along with the Python script and documentation covering scraper functionality, challenges, and preliminary insights.

@livegoodlife

Hello there, I am experienced in web scraping and building scripts or a Windows desktop application using Python. I am also experienced in large data scraping from a given website, bypassing IP, Captcha, and anti-bot or cloud flair protection. Please message me to discuss this project in detail. Best Regards Enamul

@mananraja

Hi I understand the scope of work and can provide you both, Python (.py) script as well as CSV (.csv) dataset, based on your provided requirements. I'm available to start right away. Abdul H.

@justmian876

As the leader of BN-Droids Digital Services, I am delighted to present our expertise in web scraping and data extraction - a niche we have mastered over 5+ years, successfully managing 1 million+ data records daily. Our long-term partnerships span across continents, including USA, UAE, Europe, Australia, and Canada, where we have built and maintained massive databases exceeding 20 million records. It's safe to say that we breathe and thrive off structured data.

@intelliresponse

Hello! The challenges you mentioned including CAPTCHAs, login barriers, pagination, and JavaScript-rendered content are no strangers to me. Overcoming these hurdles has been part of my trade for years. My web scraping projects have entailed collecting a variety of structured data for clients. Whether it be titles, dates, prices or comments - I've got it covered. One significant aspect of the project playbook entails handling missing or null values, removing duplicate records, standardising formats and saving cleaned datasets in an easily accessible format - tasks in which I have honed my skills over time. Lastly, what sets me apart from the competition is my ability to provide preliminary insights based on patterns, trends and interesting findings from scraped data. This helps narrow down further steps that can be taken with the cleansed dataset and provides an additional value-add to my service. I bring a holistic approach to all my projects: examining potential contextual value of scraped data not just as raw figures but as an entity that can help in strategising future decisions. With each new project lies a new opportunity for me to enhance this competency and deliver exceptional value contained within raw scraped data.

@AhteshamAK

Hi, I can develop a complete Python web scraper that collects structured data, handles pagination, cleans and standardizes the dataset, removes duplicates, manages missing values, and exports the final results to CSV. The deliverables will include: • Well-documented Python scraper (.py) • Cleaned dataset (.csv) • Summary of scraper functionality and navigation logic • Documentation of challenges encountered and solutions implemented • Preliminary insights from the collected data • Everything packaged in a single ZIP file as requested I have experience with BeautifulSoup, Scrapy, Selenium, Pandas, and data processing workflows, and I can deliver clean, maintainable code with accurate results. I look forward to discussing the target website and data requirements. Best regards, Ahtesham

@hassannaweed4

As a seasoned software engineer holding a Master's in Software Engineering, I specialize in leveraging data to deliver high-impact solutions. My skills in data analysis, processing, and Python make me the perfect fit for your Google Colab Web Scraper Development project. With any web scraper project, it's crucial to collect and parse data effectively, and I have experience doing exactly that with tools like BeautifulSoup and Scrapy. I'm well-versed in navigating sites, handling pagination, and dealing with any issues that may arise, such as CAPTCHAs or JavaScript-rendered content. You won't have to worry about these challenges slowing us down— I'll find a way around them swiftly. Regarding preliminary insights, once we've wrapped up this project, you can expect rich insights from your scraped data. This is an exciting phase for me where patterns and trends start to emerge—a true reward for a dedicated scraper! To sum up: if you're after an innovative solution that blends functionality and visual appeal while delivering insightful, cleaned-up CSV files, let's connect!

@codefusion53

Hi, I can help develop a working Google Colab web scraper that collects structured data, handles pagination, parses HTML, cleans the results, and exports a ready-to-submit CSV file. I have experience with Python, BeautifulSoup, Scrapy, pandas, data cleaning, and web scraping workflows. For this project, I can build a clear scraper that extracts fields such as titles, dates, prices, comments, or other required data depending on the target website. I will also include logic for missing values, duplicate removal, date formatting, text standardization, and CSV export. I can document how the scraper works, what data is collected, how pages are navigated, what parsing tools are used, and any challenges such as pagination, JavaScript content, CAPTCHA, or login restrictions. I can also include preliminary insights from the scraped dataset so the final submission feels complete and well explained. The final delivery will include the Python script, cleaned CSV file, and zipped folder structure ready for submission. Best, Justin

@mascotindia123

Hello, I can develop a complete Google Colab-based web scraping solution that collects structured data, handles pagination, cleans the extracted information, and exports a well-organized CSV dataset. Deliverables: • Python scraper script (.py) compatible with Google Colab • Data extraction using BeautifulSoup, Scrapy, Requests, or Selenium (if required) • Pagination handling for multi-page data collection • Data cleaning (missing values, duplicates, format standardization) • Cleaned dataset exported as CSV • Documentation covering scraper functionality, methodology, challenges encountered, and preliminary insights • Final submission packaged in a single .zip file containing the Python script and cleaned dataset The report will clearly explain: • What data was collected • How the scraper navigates the website • Tools and parsing methods used • Challenges such as CAPTCHAs, login barriers, JavaScript rendering, or pagination • Solutions implemented • Key findings and trends from the collected data Budget: Can be discussed further based on the target website and data volume. Timeline: Can be discussed further after reviewing the website and project requirements. Warm Regards, Harpreet Singh

@durgesh8527

Leveraging my 10+ years as a full-stack developer with extensive experience in crafting web scraping tools, I'm a compelling fit for your Google Colab Web Scraper task. My expertise spans across multiple platforms such as Python, PHP, and Node.js. With proficiency in BeautifulSoup and Scrapy - the very tools you require for this project, I can proficiently navigate through a variety of websites and extract the required structured data precisely and efficiently. My skill set extends beyond just scraping. I have an eye for detail and will carry out effective data cleaning by tending to missing/null values, removing duplicates, and standardizing formats to ensure optimal usability of the dataset. Moreover, I'll deliver your cleaned dataset and Python script in a compressed folder as required. In sum, by choosing me, you're selecting someone with deep experience in web scraping & cleaning, strong familiarity with the necessary tools like BeautifulSoup/Scrapy along with meticulous attention to detail to identify any challenges that might arise - be it CAPTCHAs, pagination or JavaScript-rendered content and providing swift & precise solutions. Let's connect so that I can build a powerful web scraper that meets your every specification!

@nancydeveloper

Hi , I have carefully reviewed your project requirements and am confident I can deliver a high-quality, scalable, and performance-driven solution that aligns perfectly with your goals. With over 7 years of experience in full-stack web development, I specialize in building robust, secure, and conversion-focused digital ecosystems rather than just standalone websites. Core Expertise & Technical Skills ✔ Custom Web Development: PHP, CodeIgniter, Python, MySQL ✔ Advanced WordPress: Custom Themes, Plugins, WooCommerce, Elementor ✔ Frontend & Design: HTML5, CSS3, JavaScript, jQuery, Figma/PSD to Pixel-Perfect HTML ✔ Optimizations: API Integration, Speed/Performance Enhancement, and Mobile-First Responsive Design ✔ Maintenance: Advanced Bug Fixing, Debugging, and Security Audits What I Bring to Your Project ✔ Clean, Scalable Architecture: Well-structured code built for long-term growth and SEO optimization. ✔ Performance-Driven Focus: Fast-loading, secure, and fully responsive across all devices. ✔ Business-Centric Approach: Designed to enhance user experience and deliver measurable business value. ✔ Seamless Collaboration: Clear communication, regular progress updates, and reliable post-launch support. Let’s connect and discuss how we can turn your idea into a powerful digital product that supports your business growth. I would be happy to get started immediately. Thank you.

@toriquldev123

Hello dear, Greetings from MD. Toriqul Islam! We are a dedicated Web Design & Development team with over 10+ years of industry experience. I’m Engineer Toriqul Islam, an experienced Computer Science & Engineering graduate from RUET. We specialize in building modern, scalable, and user-friendly digital solutions tailored to business needs. What I Offer We help businesses grow online by delivering: • Clean, modern, and responsive website designs • High-performance and scalable web applications • User-focused UI/UX for better engagement and conversion My Technical Expertise We work across a wide range of technologies, including: • Frontend: HTML5, CSS3, Bootstrap, JavaScript, jQuery, Angular, React • Backend: Node.js, PHP, Laravel, .NET, CodeIgniter, Ruby on Rails, Python • CMS & Platforms: WordPress • Database: MySQL, MongoDB • Mobile Development: React Native, Flutter, and more Why choose me? ✔️ Clean, optimized, and well-documented code ✔️ Reusable and scalable components ✔️ On-time delivery with complete requirement fulfillment We are confident in our ability to turn your ideas into a powerful digital product. Let’s discuss your project and make it a success. Looking forward to working with you! Best Regards, Md. Toriqul Islam

@muneeb6767

I can develop a Google Colab-compatible web scraper that collects structured data, handles pagination, cleans and standardizes records, removes duplicates, manages missing values, and exports a production-ready CSV dataset. The deliverable will include the Python script, cleaned dataset, documentation covering scraping methodology, challenges encountered, navigation logic, extraction tools used (BeautifulSoup/Scrapy), and preliminary insights from the collected data

@marjanahmed13

Hi! My name is Marjan and I'm here to offer you my services as a skilled applicant with over a decade of experience working on Freelancer.com. l believe I am the best fit candidate for this project due to my extensive experience; I would like to have a discussion to get to know that we both are on the same page. Once the scope will be locked, I will start working on it right away.

@mobimubasir

*Hi, I’ll build you a Python scraper using Scrapy/BeautifulSoup + requests. It’ll extract titles, dates, prices, comments, handle pagination automatically, clean nulls/dupes, standardize dates/text case, and export clean CSV. Script includes docstrings so extraction + cleaning steps stay transparent.* *Deliverables: .py script + cleaned .csv dataset in one .zip, plus brief report on what data was collected, navigation logic, tools used, challenges like CAPTCHAs/JS, and any preliminary trends found. Timeline: 1-2 days per site depending on complexity. I’ve scraped e-commerce + review sites before.

@mamuncmt

Hi, I can build a complete Python-based web scraper that will collect structured data such as titles dates prices and comments. The scraper will handle pagination, extract and parse HTML using BeautifulSoup and store the data in a structured format. After extraction, I will clean the dataset by handling missing values, removing duplicates, and standardizing formats like dates and text. The final cleaned data will be saved as a CSV file. I will also deliver the full Python script along with the cleaned dataset in a single zipped folder as required. Thanks Mamun

@mattafareed4848

Use this bid: Hello I can parse the HTML using BeautifulSoup/Scrapy, access and enrich data through APIFY, perform sentiment analysis or keyword extraction, create visualizations, highlight challenges encountered, and deliver the Python script, CSV dataset, and analysis chart in a single ZIP file. Regards Muhammad

@raphaelokekeze

I see you are looking for a web scraper developed in Google Colab. I have experience working with data processing and automation scripts, and I can set up a clean, efficient scraper tailored to your specific data requirements. While my primary stack is heavily focused on web development and CMS platforms, I have a strong background in JavaScript and backend logic that translates well to building scraping tools. I am comfortable handling the data structure and execution environments needed to get this running smoothly. My bid is $10 and I can have this ready for you within 1 days. Send me a message with the target URL and the data points you need to extract so we can get started.

@Aaleen110

I understand you need a Google Colab web scraper capable of collecting structured data like titles, dates, and prices, handling pagination, and parsing HTML using tools like BeautifulSoup or Scrapy. I previously built a scraper that successfully extracted and organized product information from an e-commerce site, resulting in a clean dataset for analysis. My approach will involve developing a Python script within Google Colab. I'll use `requests` to fetch HTML, `BeautifulSoup` for parsing specific elements, and `pandas` for data manipulation. The scraper will identify and iterate through pagination links, extract the required fields, and then apply `pandas` to clean the data by imputing missing values, dropping duplicates, and standardizing formats before saving it as a CSV. To ensure optimal performance and accuracy, could you specify the exact URL or type of website the scraper will target, as navigation strategies can vary significantly? Ready to start as soon as you confirm scope.