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I have a curated list of specific company websites and I need an automated solution that extracts complete contact information from each one. The goal is to turn every URL into a clean, ready-to-use lead. WEBSITE : [login to view URL] The scraper should capture: • Email addresses • Phone numbers • Mailing addresses • LinkedIn profile link • Location (city / state / country) • First and last name • Occupation / job title • Company name • Company website A well-structured CSV or Excel file is the preferred output, with each field in its own column. I am comfortable with your choice of tech—Python with BeautifulSoup, Scrapy, or Selenium are all fine—as long as the script runs reliably and respects [login to view URL] and rate limits where required. Accuracy is more important than speed; every lead must be validated for correct formatting before delivery. Acceptance criteria 1. Script files and brief setup instructions are supplied. 2. Sample run on 5–10 sites shows all fields populated. 3. Final dataset contains 100 % of the requested fields for each captured contact. Let me know your estimated timeline and any questions about the target sites or output format.
Projekt-ID: 40286483
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31 Freelancer bieten im Durchschnitt ₹21.979 INR für diesen Auftrag

Hello, I’m Muhammad Muneeb, a professional Python developer with strong expertise in advanced web scraping and data automation. I can build a reliable scraper for Thomasnet that extracts validated contact data including emails, phone numbers, addresses, LinkedIn profiles, names, job titles, company details, and location. Using Python (Scrapy/BeautifulSoup/Selenium depending on page structure), I’ll ensure accurate extraction, formatting validation, and structured delivery in a clean CSV/Excel dataset ready for immediate use. The solution will include well‑documented script files, setup instructions, and a sample run on 5–10 sites to verify all required fields. I maintain high professionalism, follow rate‑limits/robots rules, and ensure dependable automation. I can deliver the working scraper within 2–3 days. Do the target URLs follow a consistent page structure, or should the scraper handle multiple layouts as well?
₹20.000 INR in 2 Tagen
5,2
5,2

I read your project requirements and would be thrilled to collaborate with you. With expertise in Web Scraping and Data Extraction using Python, I specialize in navigating complex data structures and deliver efficient results and scalable solutions. Let’s connect to discuss further
₹25.000 INR in 2 Tagen
4,2
4,2

Hello, Please find this project and Reviews of data extraction projcts https://www.freelancer.com/u/janhavid50?review_context_id=39636370&review_type=project&sb=t You can have a look on various data extraction projects. Smooth Delivery is 100 percent. Deliverables: 1. Script files and brief setup instructions are supplied. 2. Sample run on 5–10 sites shows all fields populated. 3. Final dataset contains 100 % of the requested fields for each captured contact. Happy to assist ! Lets collaborate. Best Regards, J
₹12.500 INR in 2 Tagen
2,4
2,4

You need a reliable web scraper to extract complete contact information from specific company websites, turning each URL into a clean lead. I've built a similar scraper before to extract business data from online directories. I'll use Python with BeautifulSoup to quickly develop a script that captures the required fields and outputs a well-structured CSV file. I can start right now and deliver fast. Let's chat!
₹16.250 INR in 7 Tagen
0,0
0,0

Hi, I’ve built similar Python scrapers before to extract contact details from company websites and organize them into clean CSV or Excel files.
₹32.500 INR in 1 Tag
0,0
0,0

Hello! I can help in the search, organization and provision of information quickly and reliably. I have attention to detail and commitment to delivering clear and useful data to support your decisions and tasks.
₹25.000 INR in 7 Tagen
0,0
0,0

I've been working on this type of project in my internship and have successfully built the whole project by myself with 5 star rating.
₹12.500 INR in 10 Tagen
0,0
0,0

I can build a reliable automated scraper to extract complete contact information from the provided company websites and structure it into a clean, ready-to-use lead database. I will develop the solution using Python (Scrapy/BeautifulSoup with Selenium when needed) to handle both static and dynamic pages. The script will systematically scan each site and capture email addresses, phone numbers, mailing addresses, LinkedIn profiles, location (city/state/country), first & last name, job title, company name, and company website. All extracted data will be validated for correct formatting and exported into a well-structured CSV/Excel file with separate columns for each field.
₹15.000 INR in 2 Tagen
0,0
0,0

As a motivated beginner with a keen eye for detail, I really appreciate the nature of your project and the trust it demands. My skills in Data Processing and Excel, combined with my ability to work accurately and efficiently, align well to your project's requirements. I understand that while extracting contact information may seem straightforward, there arise several nuances that require careful handling, such as ensuring correct formatting and validation of every lead. In terms of my approach, I am particularly comfortable with Python which will undoubtedly be useful given the tools you've mentioned - BeautifulSoup, Scrapy or Selenium - and will allow me to respect site-specific limitations. Although still relatively new to web scraping arena, I am always eager to learn more and provide quality service when given an opportunity. You can count on me to meet all the acceptance criteria mentioned, including delivering a well-structured CSV or Excel file with 100% of the requested fields populated. Lastly, being a beginner also implies that my rates are quite competitive. By entrusting this task to me, you'd not only get accurate results but also benefit from cost-effectivity. Let’s work together to turn your curated list into a goldmine of ready-to-use leads!
₹25.000 INR in 7 Tagen
0,0
0,0

我是一个有着3年➕经验的Python全栈代码工作者,尤其擅长数据抓取,数据抓取中对于web数据抓取有着丰富的经验,之前有过抓取amazon, shopify等网站的成功案例和经验,对于网站的加密和反爬机制都有很好的应对方法
₹30.000 INR in 7 Tagen
0,0
0,0

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