App Data Scraping to Excel

@imraz2016

Hi There, I can automate the extraction of all 10,000–13,000 company records from your app and deliver a clean, well-structured Excel file with company name, contact details, and WhatsApp number. I'll ensure accurate column mapping, remove duplicates, perform manual QA checks, and provide at least 10,000 unique records. I'm ready to start as soon as you provide the credentials.

@schoudhary1553

As the CEO and Founder of Digital Screencast, my team and I specialize in the precise type of web automation and scraping this project requires. With over 7 years of experience as a full stack developer, I have honed my skills in using Python to extract data effectively . As a bonus, I’m also really great with Excel and VBA scripting. I fully understand the importance of data integrity, especially when working with thousands of entries like in your project. Hence, my approach is to automate as much as possible with tools like Beautiful Soup and Selenium but also to manually double-check all data to ensure accuracy and flag any inconsistencies. Respecting rate limits and anti-scraping measures is a given. What sets me apart? My project commitment extends beyond delivery. Once you receive the clean, well-structured Excel file with at least 10000 unique companies' information correctly mapped across columns, I am always available for 4 days of free support in case there are any hiccups. Plus, though full payment is expected upon satisfaction, I assure you that your every penny will be worth my exceptional work.

@vano101

Hello I am proficient Web Scraping specialist and I am experienced with Python, BeautifulSoup, Selenium, very well. I am going to prepare automated script to extract all data. At first I would like to clarify all details - for instance, what is app to extract data from? Thanks.

@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

@ZohaibRoy

⭐⭐⭐⭐⭐ Extract Company Data into Excel Efficiently and Accurately ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project requirements and see you are looking for data extraction from an app listing 10,000–13,000 companies. You need accurate information pulled into a clean Excel spreadsheet. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for data extraction. I will use a combination of automated tools and manual checks to ensure the highest quality of data. ➡️ Why Me? I can easily handle your project as I have 5 years of experience in data extraction and automation. My expertise includes Python, web scraping, data cleaning, and Excel management. Not only this, but I have a strong grip on other relevant technologies like BeautifulSoup and Selenium, ensuring a thorough approach to your data needs. ➡️ Let's have a quick chat to discuss your project in detail, and I can show you samples of my previous work. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Data Extraction ✅ Python Programming ✅ Web Scraping ✅ Excel Management ✅ Data Cleaning ✅ BeautifulSoup ✅ Selenium ✅ API Integration ✅ Data Validation ✅ Error Handling ✅ Automation Solutions ✅ Quality Assurance Waiting for your response! Best Regards, Zohaib

@ludiac

Hi, I can automate the extraction of all 10,000–13,000 company records from your app and deliver a clean, well-structured Excel file containing the company name, contact details (phone, email, website, address if available), and the WhatsApp number revealed after clicking the WhatsApp icon. I'll use an automated approach with Python, Selenium/Appium, combined with validation and manual spot checks to ensure high accuracy and complete coverage. Similar projects: https://www.freelancer.com/projects/selenium/Weekly-Golf-Tee-Time-Booking/reviews https://www.freelancer.com/projects/php/Sharepoint-RAG-SQL-GPT-agent/reviews https://www.freelancer.com/projects/php/SQL-RAG-GPT-Agent-with/reviews https://www.freelancer.com/projects/php/OpenAI-Prompts-for-Telco-Support/reviews https://www.freelancer.com/projects/gpt-agent/Data-Analyst-Required/reviews Why Choose Me? Extensive experience in Python automation, mobile/web scraping, and large-scale data extraction. Expertise with Selenium, Appium, BeautifulSoup, OCR, and Excel automation. Focus on clean, reliable, and maintainable solutions with thorough QA. Fast communication, milestone-based delivery, and long-term support. I can start immediately once I receive the credentials and provide an initial sample before running the complete extraction. Best regards, Ludiac

@tsonevpetko

Please send me the details, and I will prepare a sample. Thank you for your time!

@rabbiawebjuggler

I am Rabbia, a seasoned data analyst with noteworthy experience in web scraping and MS Excel, precisely the skillset you require for your project. My vast experience with handling massive datasets, while ensuring data integrity efficiently, will prove pivotal in giving you a meticulously structured Excel file. I am well-versed with Python, BeautifulSoup, Selenium and similar scraping tools to cater to your dataset size efficiently by employing an automated yet accurate approach. The meticulousness of my work aligns well with your requirements as I understand that even a single error or failure to remove duplicates could have dire consequences. To counter this issue, my method involves pre-defined manual spot checks in the process to guarantee data integrity alongside automated extraction. Also, I'll be mindful of any rate limits or anti-scraping measures built into the app so that scraping is performed

@paulmd369

please capture: • Company name • Any contact details shown on that card (phone, email, website, etc.) • The WhatsApp number revealed when the WhatsApp icon is tapped

@asifdwan

Hi, I can automate the extraction of data from your app and compile it into a clean, well-structured Excel spreadsheet. I have extensive experience building Python-based scraping and automation tools using Selenium, Playwright, and other data extraction techniques for large datasets and dynamic applications. The solution will extract each company's information, including the company name, available contact details (phone, email, website, address if available), and the WhatsApp number revealed after interacting with the card. I'll implement data cleaning, deduplication, validation, and logging to ensure the final dataset is accurate and organized, followed by manual spot-checks for quality assurance. The completed Excel file will contain one company per row with clearly labeled columns, ready for filtering and analysis. If the app requires authentication or dynamic interaction, I can adapt the automation accordingly while respecting the platform's technical limitations and applicable terms of use.

@ShaikhAneesa

Hi there, I understand you need to extract data from approximately 10,000 to 13,000 company cards within your app into a clean, well-structured Excel spreadsheet, including the WhatsApp number revealed after tapping the WhatsApp icon. I am confident I can build a reliable automated solution that captures the required data accurately while ensuring high data quality. My approach will be to develop an automated scraper using Python with Selenium or another suitable automation framework based on how the app loads its data. The script will navigate each company card, extract the company name, contact details, and WhatsApp number, then clean, validate, and organize the data into a structured Excel file. I'll implement duplicate detection, error handling, retry logic, and manual QA spot checks to ensure accuracy while respecting the app's normal behavior and handling large volumes efficiently. The deliverable will include a clean Excel file containing 10,000+ unique companies with correctly mapped columns, well-commented source code, and documentation so the extraction can be rerun whenever needed. Could you clarify whether this is a web application or an Android/iOS mobile app, and will I be accessing it through a browser or an emulator? I'm ready to start immediately. Warm Regards, Aneesa.

@InterconnectBPO

I can efficiently extract data from your app and structure it into a clean Excel spreadsheet. Leveraging automated scraping methods ensures we meet your goal of capturing all relevant company information while maintaining data integrity. I understand the need for a comprehensive approach that includes capturing company names, contact details, and WhatsApp numbers, while adhering to rate limits and ensuring accuracy through manual checks. With expertise in Python, BeautifulSoup, and Selenium, we have 20+ 5-star reviews on similar projects! My focus is on delivering a well-organized file with no duplicates or errors, guaranteeing full coverage of at least 10,000 unique entries. Regards, InterconnectBPO

@brashel

Hello, I can build an automated scraper to extract all company data, including WhatsApp numbers, into a clean Excel file. I’ll ensure accurate mapping, remove duplicates, perform QA checks, and deliver a reliable, reusable solution.

@Herculesz

Hi, this is a straightforward extraction problem on the surface, but the real risk is stateful ingestion across 10,000+ app records where revealed contact data can be inconsistent, duplicated, or hidden behind interaction flows. I’ve built several production automation systems in Python, and I usually structure these jobs around repeatable capture, normalization, and QA rather than one-pass scraping. The closest relevant work here is NYSE Day Trading Bot Development for high-volume external data handling and Custom Feature Development & Integration for working through live system behavior with disciplined validation. I’d approach this by separating record discovery, card extraction, WhatsApp reveal capture, and final Excel normalization into distinct stages. That makes retries safer and avoids corrupting the final dataset when a session expires or a card fails mid-run. For reliability, I typically add duplicate detection, character cleanup, null-field flags, and a verification pass against a sampled subset before final export. With Selenium, the important part is controlling session state and interaction timing so coverage stays consistent. These are the kinds of pipelines I design for long-term repeatability, not just a one-off dump. If useful, I can first sketch the extraction and QA flow for this app before the full run. Thanks, Hercules

@onkarkulkarni8

Hello, I checked your "App Data Scraping to Excel" project and it looks like the focus is on delivering a clean, responsive website that works well across all devices. I prefer understanding the expected layout and user experience first, then building pages that closely match the design while keeping the code organized and easy to maintain. Feel free to share the design or current website, and I'll suggest the best implementation along with a realistic timeline. Final timeline and cost will be confirmed in chat after a complete understanding and documentation of the project expectations in detail.

@AhteshamAK

Hi, I can help pull the 10,000-13,000 company cards into a clean Excel file with each company mapped to its own row and columns for name, address, contact details, website, and the WhatsApp number revealed after tapping the icon. I’d use a controlled Python workflow with Selenium where needed for app interaction, then validate the Web Scraping output with duplicate checks, blank-row removal, character cleanup, and random QA sampling against the app. I’ll also pace requests carefully so the process respects rate limits and avoids damaging data quality. Do the cards appear in one full directory, or are they split by category/location? Should flagged records be included in a separate review sheet? Does the app expose all 10,000–13,000 cards through search or pagination, or will navigation require specific filters such as location or category? Best, Ahtesham Ahmed

@gotucat

Hi, I reviewed the project to scrape each company card from the mobile app and compile a clean Excel spreadsheet with company name, contact details, and the WhatsApp number revealed after tapping the WhatsApp icon. I’ll automate extraction using Selenium-driven navigation, then structure the output into fixed Excel columns while ensuring Data Scraping integrity: de-duplicate by company, remove blank rows, and clean broken characters for reliable mapping of name, contact fields, address, and WhatsApp. I’ll include careful QA spot-checks over a random sample to confirm zero critical errors and consistent column placement. Let’s discuss here now.

@gauravgargcs

Hello, I'll build an automated scraper using Python (Selenium/Appium/BeautifulSoup, depending on the app) to capture all required fields, handle dynamic interactions like opening the WhatsApp number, perform data cleaning and validation, and export the results to Excel with separate columns. I have 10+ years of experience in web/app scraping, automation, and large-scale data extraction, and I'll include manual QA spot checks to ensure accuracy. Let's chat about the app details and credentials—I’ll review the workflow, recommend the best scraping approach, and get started right away. thank you Regards Gaurav Garg

@Hadiibaba

Hi there, I’ve thoroughly reviewed your project details and am confident I can deliver exactly what you're looking for. I have direct experience with this type of work and can start right away. To show you what I can do, I’d be happy to prepare a quick sample for your review. Let’s connect to discuss the full scope of work so I can provide an accurate project estimate. Best regards, Muhammad Haris