Scrape Bayer Customer Reviews

@diektech

Hi, This is Elias from Miami. I understand the goal is not just collecting mentions, but building a lightweight review-harvesting tool you can rerun reliably whenever needed. The key is making it modular, compliant, and easy to extend later to additional sources while keeping the first version focused on Google and structured exports. My approach would be to build this in Python with a clean separation between query/config logic, collection, parsing, rate limiting, and export. Depending on the source behavior, I’d use requests/BeautifulSoup where possible and Selenium only where dynamic rendering is required. The output would include review text, score, reviewer, date, and source URL, with simple CLI or notebook usage plus clear hooks for future Facebook/X/Instagram extensions. I build data collection workflows that are maintainable, well-documented, and safe to operate repeatedly rather than one-off scripts that break quickly. The focus is a clean codebase, structured exports, and a setup you can adjust later without rework. Q1: By “Goole,” do you mean Google reviews, Google search results, or another source? Q2: Should the first version collect all historical reviews available, or within a defined date range? Q3: Do you want deduplication/version tracking if the same review appears across multiple runs? Regards.

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in JavaScript, Python, Web Scraping, Software Architecture, Scrapy, Data Extraction, BeautifulSoup, Selenium and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@raminde

Have over 18 years of experience in data mining/ Web scrapping/ Scraping Bots/ Chrome/Opera Extensions I have done it all. Tell us your source and we will put it in excel for you, Or we can even give you filtered results as per your requirement, In the format you want. You can also ask for data into a particular format - Excel, Json, Mysql, Databases, XMLs, you name them. Further Can help you with integrating it with ur databases, Can create json outputs. We are not only good with scraping but also with the tools that u may need after that. We can help you build you softwares round the data we have 99% Data Accuracy. We have Duplicate finder. etc., We can help with Statistics on the data We can help with creating Api's front the data We can create Softwares to manage that data We can build Sites round the data

@hireageek

Hi there, I understand your need for a lightweight and repeatable scraper specifically targeting customer reviews about Bayer on Google. With extensive experience in web scraping using Python and its libraries such as BeautifulSoup and Scrapy, I can create a robust solution that will meet all your requirements. My approach will ensure that we collect essential data, including review text, star ratings, reviewer details, dates, and direct URLs, while also maintaining compliance with platform policies. I will structure the code with clear, modular functions, and ensure it can be executed easily via command line or Jupyter notebook. To demonstrate functionality, I'll provide a sample export showing at least 100 live reviews in CSV or JSON format, along with a detailed README for setup and usage. What additional features would you like to have if we decide to extend data collection to other platforms in the future? Thanks,

@enervell

Hello, I can build a lightweight, repeatable Python scraper that collects publicly available Bayer-related reviews from Google sources and exports them in a clean, structured format. What I will deliver • Python scraper using Requests + BeautifulSoup or Selenium (depending on the page structure) • Extraction of review text, star rating, reviewer name/handle, date, and direct URL • CSV / JSON export with at least 100 live review records • Modular, well-commented code designed for future expansion to platforms like Facebook, Twitter, or Instagram • Built-in rate limiting and back-off logic to respect platform limits and avoid blocking • Simple execution via command line or Jupyter Notebook If you’d like, I can also include a small configuration file so you can change keywords or sources without editing the core code. Best regards, Thanks. Cesar

@dvcontact

Hello Sir, Have you considered how powerful insights from customer sentiment could enhance your strategy for Bayer? I will create a robust, modular web scraper tailored for social media that ensures compliance and scalability for future needs. Let's discuss how we can customize this solution to meet your expectations. Best, Smith

@Sohail748

Hii there, I’m offering a 30 percent discount for this project and would be glad to assist you in scraping Bayer customer reviews efficiently and accurately. With experience in web scraping and data extraction, I can collect the required review data from the specified sources and organize it in a clean, structured format that is easy for you to analyze and use. My approach will focus on building a reliable scraping process that captures review content, ratings, dates, and other relevant information while maintaining data accuracy. I will ensure the extraction process runs smoothly, handles large volumes of data if needed, and delivers the results in formats such as CSV, Excel, or a database depending on your preference. As a dedicated freelancer, I prioritize attention to detail, clear communication, and delivering reliable results. I am confident that I can provide well-structured and accurate customer review data to support your research or analysis needs. Kind regards, Sohail Jamil

@DedicatedVA

Well we can efficiently handle this. For this kind of project, we start by defining the exact review sources and fields to capture, ensuring the scraper targets the correct Google pages and pulls all required data—review text, star rating, reviewer name/handle, date, and the direct URL. We use our in‑house scraper, optimized for large review datasets and delivering around 99% data accuracy. The data is then cleaned, structured, and exported into CSV or JSON, ready for analysis or integration with tools like Power BI. You’ll also receive clear documentation and run instructions, making the process easy to repeat whenever fresh data is needed. We’ll include a sample export with at least 100 live reviews and keep the code structured so it can be extended to other platforms in the future. Would you prefer the scraper to run as a simple command‑line script or as a Jupyter Notebook for easier control and adjustments?

@juanestebana17

Hello, With extensive experience in web scraping using Python, BeautifulSoup, Selenium, and Scrapy, I will deliver a lightweight, repeatable scraper tailored to gather Bayer customer reviews from Google efficiently. Would you like the scraper to include any specific social media platforms beyond Google in the future? Thanks, Juan Aponte

@FaizalShaik80

Hi, hope you are well. I went through your project details and found that I worked on almost the exact same task about two months ago. I am an experienced and specialized freelancer with 6+ years of practical experience in Python, Web Scraping and I’m able to complete and deliver this project promptly. Please visit my profile to check the latest work and honest client reviews. Let us make this great together, please connect in chat. Warm regards.

@codefusion53

Hi, I understand that you need a lightweight and repeatable scraper to collect publicly visible customer reviews mentioning Bayer, currently focused on Google, with the ability to extend to social platforms later. My approach would be to build a modular Python scraper using tools such as requests and BeautifulSoup or Selenium depending on page dynamics. The script will extract review text, star rating or reaction score, reviewer name or handle, date, and the direct post URL. It will include clear functions for querying, parsing, and exporting data so you can easily adjust search terms or date filters. The scraper will run from the command line or a Jupyter notebook and export structured results to CSV or JSON. Pre delivery testing will include collecting at least 100 live reviews, validating fields, confirming URL accuracy, and ensuring rate limit and back off logic works properly. Clean comments and a short README will guide setup and usage. Best, Justin

@hotanloc

With my core skill Python(jupyternotebook) or JavaScript, I have finished Web Scrapting project which extract product name, reviews, customername, product price, product date and product selling number and save this to excel(csv) or goofle sheet for uploading into client's google driver a few days ago. I have rich experienced in Web Scraping, Data Extraction, Machine Learning (ML), Python and Artificial Intelligence. I have full experience to develop python code for extracting the specific data from web site with python, HTML, CSS and JavaScript. If you give me your project, You can get best result with shortest time and best quality result. I am sure for your project and i can complete your project perfectly on time and with high quality. Please send me your message to discuss more about your project. I am waiting your reply now. Thanks.

@asharib17

Hello there, I can build a **lightweight, modular Python scraper** that collects publicly visible reviews mentioning Bayer from Google sources and prepares the data for analysis. Approach: • Use **Python with requests/BeautifulSoup and Selenium (if dynamic rendering is required)** • Extract **review text, star rating/reaction score, reviewer name/handle, date, and direct post URL** • Implement **rate limiting and back-off logic** to avoid blocks and respect platform rules • Structure the code with **modular functions** so future sources (Facebook, Twitter, Instagram) can be added easily • Provide export options to **CSV or JSON** Deliverables: • Clean, well-commented **Python source code** • Sample dataset with **100+ live reviews** exported to CSV/JSON • **README** explaining setup, dependencies, and run instructions • Configurable search parameters to adjust **keywords, sources, or date ranges** The scraper will run easily from **command line or a Jupyter notebook**, making it simple to execute on demand and extend later if you decide to add additional social platforms.

@emilesd617

Hi, I am a full-stack AI developer with 8 years of rich experience in software development, with a strong background in web scraping, data extraction, and Python programming. I am familiar with tools like BeautifulSoup, Scrapy, Selenium, and requests for building efficient and repeatable scrapers. For this project, I will build a lightweight, repeatable scraper to collect publicly visible customer reviews about Bayer from social media sources like Google, with the ability to extract the review text, star rating, reviewer name or handle, date, and the direct URL to the post. The scraper will be built to run on demand, ideally via a simple command line or Jupyter notebook interface. I will ensure the code is clean, well-commented, and respects the platform’s rate limits and terms of service, including hooks for potential extensions to other platforms like Facebook, Twitter, or Instagram. I will provide a sample export in CSV or JSON format showing at least 100 live reviews, along with a short README explaining setup, instructions, and how to modify search terms or date ranges. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@VianRey1

It is incredibly time-consuming to manually gather every relevant Bayer review across social media, especially when you need the full details and want to stay within platform rules. Missing this feedback means missing trends or customer sentiment that could directly impact your decisions. With a lightweight and repeatable Python scraper, you can quickly collect complete review data from Google, including review text, star ratings, reviewer info, dates, and direct links, all neatly exported and ready for analysis whenever you need it. First, I will create modular, well-documented code that scrapes every required detail while respecting rate limits and robots.txt. Next, I will deliver a sample export with at least a hundred live reviews. Finally, you will get a clear README covering setup, usage, and how to adjust keywords or date ranges. Would you like this to run from a command line, a Jupyter notebook, or both?

@mutahrar

Hello, I can build a lightweight, repeatable scraper that collects publicly visible Google reviews mentioning Bayer and extracts the full review text, rating, reviewer name/handle, date, and direct URL for each entry. The scraper will be written in Python with a clean, modular structure using tools such as Selenium or Requests/BeautifulSoup where appropriate to ensure reliable data extraction while respecting rate limits and robots.txt. It will be designed so you can run it easily from the command line or a Jupyter Notebook and adjust search terms or date filters as needed. Deliverables will include well-commented source code, a sample dataset export (CSV or JSON) containing at least 100 live reviews, and a clear README explaining environment setup, execution steps, and configuration options. The code will include back-off logic and modular functions so the scraper can later be extended to additional social platforms such as Facebook, X/Twitter, or Instagram if required.

@hasan104

Hi, I can build a lightweight and repeatable scraper to collect publicly available Bayer-related reviews from Google. The script will extract the full review text, rating, reviewer name/handle, date, and the direct post URL, and export everything into CSV or JSON. I will develop it in Python (using requests/BeautifulSoup or Selenium if needed) with clean, well-commented code so you can easily run it from the command line or a Jupyter notebook. I’ll also include a sample dataset with 100+ reviews and a simple README explaining setup, usage, and how to modify search terms or date ranges. The code will be modular so it can be extended later for platforms like Facebook, Twitter, or Instagram, and it will respect rate limits and platform policies. I’d be happy to discuss your exact search scope before starting. Best regards, Hasan

@atesicfl

⭐⭐⭐ Let’s build a clean, repeatable review scraper you can run anytime ⭐⭐⭐ I’m a Scraping Expert and Python Developer specializing in data extraction and automation with 4+ years of experience building reliable, reusable scraping tools. I carefully read your requirements and understand you need a lightweight scraper focused on publicly visible Google reviews mentioning Bayer, capturing review text, rating, reviewer name/handle, date, and the direct URL. I can build this in Python using Selenium or Scrapy depending on the structure of the pages, ensuring stable extraction even with dynamic content. The script will be modular, well-commented, and runnable from the command line or a Jupyter notebook. The output will export structured data to CSV or JSON, and I’ll include clear functions for adjusting search terms, date filters, and pagination. I will also structure the code so additional sources like Facebook or X can be added later without rewriting the scraper. You’ll receive clean source code, a sample dataset with at least 100 reviews, and a short README with setup instructions and run commands. Two quick questions: 1. Should the scraper focus on Google Reviews from specific locations/business pages or broader Google search results mentioning Bayer? 2. Do you prefer scheduled runs later (cron-ready), or strictly manual execution for now? I can deliver a clean, reliable scraper that you can reuse anytime without maintenance headaches.

@mugencodes

Hello, I am Jayabrata Bhaduri, a Project Manager with a proficient team specializing in Python, Web Scraping, and JavaScript. We have successfully delivered numerous projects in these domains and can tailor our expertise to meet the specific requirements of your project. I have thoroughly reviewed your project description and understand the need for a lightweight, repeatable scraper to gather customer reviews about Bayer from social media sources, with a focus on Google. We will develop a scraper that extracts the full review text, star rating, reviewer details, date, and post URL. The scraper will be designed to run on demand, providing ease of use through a command line or Jupyter notebook interface. Let's discuss your project requirements in more detail during a call to ensure a successful collaboration. Regards, Jayabrata Bhaduri