Autoscout24 Dealer Data Scrape

@imraz2016

HI there i am scraping expert i am able to scrap all information from you provide website so please contact me, thank you

@mananraja

Hi I have expertise in Web Scraping using Python and can provide you required dealers data for all available (19,843) listings from provided website (Autoscout24) in organized CSV format. I'm available to discuss details in chat. Abdul H.

@farhanyoussef18

Youssef, Full-Time Python Developer specializing in data extraction and automation. Your project requires following dealer links to extract emails from their official websites, which I will handle meticulously. My approach uses Playwright for robust pagination and JavaScript rendering, followed by Scrapy for efficient, structured extraction of all listed fields. I will then deploy a custom script to visit each dealer's site, scrape verified contact emails, and handle German characters and rate limits carefully. I have completed numerous large-scale, multi-step scraping projects just like this. Can you confirm if the extracted email addresses should be in a separate column or merged with the contact person's email field? Ready to start immediately.

@mjanchi

With almost 3 years of honing my skills here at Freelancer.com, I've handled similar projects that required precision and accuracy, just like the one you have. My solid experience in data entry, internet research, and web scraping along with my familiarity with tools such as Scrapy and BeautifulSoup make me highly capable of delivering a clean and ready-for-import dataset. The perfect outcome you desire for is crucial to me too. I meticulously validate all entries to ensure that they are complete without any placeholders, and cross-check all emails gathered against dealers' official sources to guarantee authenticity. Given your emphasis on maintaining consistency throughout the dataset, I will not miss any entries nor will I submit anything incomplete or inaccurate. Moreover, rate limits and the smooth retrieval of German characters are not new to me. Rest assured that the task will be executed in an efficient manner without missing out any data. With my services, you can expect excellent results without hidden or additional costs ensuring no compromise on quality. Let's talk more about this task as well as possible long-term collaboration opportunities for better support!

@mobimubasir

Hello there, I can build a Python-based scraper for AutoScout24 dealer listings, capture dealer details, handle pagination/German characters, de-duplicate records, and export a clean CSV ready for import. For emails not shown on AutoScout24, I can follow official dealer websites, extract publicly listed emails with rate-limited crawling, document the source for verification, and deliver a structured dataset with quality checks before final handover.

@muneeb6767

Hello, I can deliver a complete and accurate scrape of all ~19,843 dealerships from AutoScout24, including company name, phone number, website, full address, contact person details, and email extraction from both AutoScout24 and official dealer websites when required. As an experienced web scraping specialist, I will build a reliable scraping solution using Python to handle pagination, German characters, duplicate removal, rate limiting, and data validation. Every record will be checked to ensure emails come from official sources and the final CSV is clean, structured, and ready for import. I maintain high professionalism and understand the importance of data quality, especially when spot-check verification is involved. I am confident I can provide the complete dataset with the additional email harvesting step included. Looking forward to working with you. Best regards, Muhammad Muneeb

@rosscarter1011

Hello my friend, I understand you are looking for a reliable professional to extract the dealership data and deliver it in CSV format. I will use BeautifulSoup and Selenium to navigate the site's HTML, handle JavaScript-rendered content, and robustly extract the precise data points you need. Beyond the extraction, I will process and clean the data, using libraries like CSV and Numpy, to deliver it in your required format (CSV, JSON, Excel, or a database), complete with clear documentation so you know exactly what you have and how to use it. I am confident we can build an effective solution for your specific requirements. To ensure I fully understand your vision, let's connect for a brief chat to discuss the project details. I am a professional web scraper with expertise in Python web scraping tools (Selenium and BeautifulSoup), data analysis libraries (like Numpy, CSV, MySQL, and others), Git for version control, and automation with Python. I deliver clean, documented, and maintainable code built for resilience. My focus is on proactive error handling and respectful scraping to ensure consistent, uninterrupted data flow. I transform raw data into a clean, analysis-ready asset, saving you valuable time. My proven expertise includes lead generation, price monitoring, and market research projects. I am ready to apply this experience to your specific needs. Let's connect to outline a clear path forward and get your project started.

@ska234

Hi. To deliver this, I’d build a robust Python scraper with Scrapy for listing traversal and Selenium only where dealer pages require rendering, then normalize everything into a clean CSV pipeline. I’ll preserve German characters, respect pagination, and add retry, throttling, and deduplication so the full 19,843-dealer set is captured without gaps. For emails, I’ll extract from AutoScout24 first and then follow each official dealer website to harvest only source-verified addresses, keeping the dataset clean and import-ready. As a Senior Backend Engineer, I have mastered Python, BeautifulSoup, Scrapy, Selenium, data cleaning, and large-scale web extraction and have strong experience in marketplace scraping and structured lead generation datasets. I am sure I can deliver high-quality results within the right timeline based on project size. Let’s get in touch and discuss more. Thanks.

@inertiasoftltd

Hello, As a seasoned web developer with a niche in Python, I am confident in my ability to tackle your Autoscout24 Dealer Data Scrape project. I bow to your demand for an exhaustive scrape that captures not just the company name and phone number, but also the emails present on the website of dealers where none appear directly on AutoScout24. Additionally, I am well-prepared to handle other vital details like website URL, complete physical address, contact person’s name, and their email. I can ensure that each entry of the collected data is verified as originating from official sources and completely de-duplicated - respecting pagination, German characters, and rate limits to avoid overwhelming. With over 8 years of expertise in web development - an area that demands top-notch precision, attention to detail and error-free codes - quality is something I emphasize religiously. This commitment to quality will extend to the delivery of a clean, accurate dataset as requested in a CSV format that's ready for import. To assure you of my competence, I'm willing to allow spot-checks of records before final approval. Having previously worked on similarly large-scale scraping projects involving thousands of entries, I understand the importance of pulling off such jobs within a specified time frame and ensuring client satisfaction. Meeting deadlines without compromising quality is key, and I guarantee both attributes for this venture. Thus, if Thanks!

@RadoslavPompura

Hi, I can definitely handle this complete AutoScout24 dealer scraping project and deliver the final clean CSV as required. I have strong experience with Python scraping, BeautifulSoup, Selenium/Scrapy, pagination handling, data cleaning, deduplication, German characters, and structured CSV delivery. I will collect all dealership records, including company name, phone, website, full address, contact person details, and all available emails. If emails are not visible on AutoScout24, I can follow the official dealer website and extract verified emails from there. I will also respect rate limits and build the process carefully so no rows are skipped or duplicated. The final file will be clean, complete, de-duplicated, and ready for import. I can include a short summary of the scraping process and source checks as well. Thanks.

@goranm16

Hi, I can handle this as a scraping/data extraction job, including the dealer-site email harvesting step. The main challenge is avoiding skipped dealers while also finding only emails from official sources, so I’d start by mapping the AutoScout24 pagination/listing structure, then scrape in controlled batches with logging and retry checks. After that I’d visit each dealer website when needed, extract public contact emails, normalize German characters, remove duplicates, and deliver a clean CSV with source-aware validation. I’ll also avoid placeholders and flag genuinely unavailable contact fields clearly instead of guessing. Thanks!

@mdabu38

Yes—I can do this. I’ll build a full crawler to collect all ~19,843 AutoScout24 dealers, extract details, follow dealer websites for emails, clean/verify data, and deliver a de-duplicated CSV. Includes pagination handling, anti-blocking delays, and resume support to ensure nothing is missed. Ready to start.

@craigd43

My name is Craig and as an experienced developer with a strong background in web scraping, I am confident that I possess the necessary skills required for this project. I have an excellent working knowledge of popular scraping tools like Python, BeautifulSoup and Scrapy which are well-suited for dealing with tasks just like this and respecting all rate limits to ensure maximum efficiency. I understand the importance of quality in this task and can assure you that there will be no missing rows or placeholder values in the final csv file. I am also well-versed in dealing with non-English characters and will handle the German characters in your scrape without any issue. Furthermore, despite it not being explicitly mentioned in your project description - given my expertise I would also safely extract all the extra email addresses from the dealer websites. Additionally, as a full-stack developer with longstanding experience using PHP, Node.js, C#, Vue.js and the likes, I would be able to work closely with your team if any extra requirements arise from your end like importing and utilizing the data generated through APIs or manipulating/exploring data for analysis etc. My goal is to deliver a clean, de-duplicated and fully verified dataset that exceeds your expectations.

@hoangvanp

Hi, I can create a robust web scraper to extract detailed information from all 19,843 dealerships listed on Autoscout24.de. The scraper will capture company names, phone numbers, email addresses (from both the website and AutoScout24), website URLs, full addresses, contact person details, and emails. The final dataset will be delivered in a clean, de-duplicated CSV format for easy import. I have experience with web scraping tools like Python (BeautifulSoup, Selenium, Scrapy) and will ensure the scraper respects pagination, German characters, and rate limits to prevent any data loss or blockages. Quality is a top priority, with no missing data or placeholder values, and all emails will be verified for authenticity. A key challenge is accurately extracting emails from both AutoScout24 and dealer websites. I will address this by implementing a robust email harvesting process to ensure all official email addresses are captured correctly. I will provide you with the complete and accurate CSV dataset as requested. Let's discuss the details via chat. Regards,

@AndrewJSMAN

I’ve scraped and validated dealer directories at scale before—similar scope, same stack. This is right in my wheelhouse. My approach: I’ll build a Scrapy pipeline for the main dealer list, then use Selenium to follow each dealer’s link for the secondary email harvest. Scrapy handles pagination and rate limits cleanly. Emails will be pulled from both the AutoScout24 page and the dealer’s own site, then verified against MX records to avoid placeholders. I’ll deduplicate by exact email and address, output a clean CSV with no missing rows. I can start immediately.

@lazarr4

Hello. This project is really about data quality, not just scraping. Collecting nearly 20,000 dealership records is straightforward, but ensuring complete coverage, extracting contact details from external dealer websites, and delivering a clean, de-duplicated CSV is where the real work lies. I would approach this with a multi-stage process: crawl all dealership listings, gather the available dealer information, then follow each official website to extract and validate contact emails while preserving German characters and handling pagination correctly. The final dataset would be normalized, de-duplicated, and reviewed before delivery. I have extensive experience building large-scale scraping and data extraction systems with Python and understand how to manage rate limits, retries, and inconsistent website structures without sacrificing accuracy. One question: should multiple contact persons and email addresses be delivered as separate rows or consolidated into a single dealership record? Also, do you require email verification beyond source validation, such as SMTP checks? I would be glad to discuss the expected format and validation process before getting started. Thanks, Lazar.

@adriank06

Hi there, I read your project details about scraping the 19,843 dealers from AutoScout24.de. I build custom Python scraping pipelines regularly and can definitely handle the deep extraction you need. Based on your requirements, here is my exact approach: 1. Extract the main directory data while handling pagination and rate limits (using custom delays/proxies to avoid blocks). 2. Run a secondary crawler to visit the actual websites of the dealers to hunt for missing emails and contact names. 3. Clean, format, and deduplicate the data into a ready-to-import CSV, ensuring all German characters (UTF-8) are perfectly preserved. I confirm I can supply the complete dataset including the extra email harvesting step for the fixed price. I have a 5-star rating here and I'm ready to start right now. I can run a quick test and send you a sample of 20-30 rows in chat so you can check the quality before we officially start. Best regards, Adrian K.

@ayesha86664

Hi there! Scraping 19,000+ dealership records with complete details is complex and often leads to missing or inconsistent data. Extracting verified emails from both listing pages and external websites makes it even more challenging. I am experienced in Python web scraping using Scrapy, Selenium, and BeautifulSoup. I have built large scale data extraction systems with clean, structured CSV outputs. I have worked on directory scraping and extracting business contact details including emails from websites. I will build a reliable scraper that handles full pagination without missing entries. It will correctly extract all dealer information from AutoScout24 in structured form. For missing emails, it will visit official websites and collect valid contact emails. Final dataset will be cleaned, de-duplicated, and ready in CSV format. check our work https://www.freelancer.com/u/ayesha86664 Do you want the emails to be verified as well or only extracted from sources? Let me know if you’re interested & we can discuss it. Best Regards Ayesha

@abhiramukk

Hi, This is AB from United Kingdom. The Autoscout24 Dealer Data Scrape project involves scraping details from 19,843 dealerships, including company name, contact info, email addresses, website URLs, physical addresses, and contact person details. To ensure accuracy, I'll use Python with BeautifulSoup or Scrapy, respecting pagination and rate limits. Quality is paramount, with verified emails and no missing data. I'll deliver a clean, de-duplicated CSV file for easy import. One query: How should we handle dealerships with no listed emails? Quick technical checks to make sure we're aligned: Q1- How should we handle dealerships with no listed emails? Looking forward to your response.