Urgent Google Maps Web Scraping Job

@livegoodlife

Hello there I have the google map scraper ready to give you right now. It can do exactly as you are looking for. 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

@saqibmunir55

Hello, Yes, I can deliver exactly what you are looking for. I have 5+ years of experience in web scraping, lead generation, and large-scale business data collection using Python, Selenium, Playwright, Scrapy, APIs, and custom automation solutions. I have previously scraped Google Maps and business directories to build industry-specific lead databases. For your Berlin project, I can collect: • Company Name • Phone Number • Email Address (where publicly available) • Website • Industry/Category (German category name) • Full Address Optional fields: • Rating • Review Count • Opening Hours • Google Maps URL I can also filter the data according to your requirements: • Exclude restaurants, cafes, bars, pubs, and other gastronomy businesses • Exclude freelancers and obvious solo businesses • Apply review-count filters and additional business-size indicators where available • Deliver separate Excel/CSV files grouped by industry My approach would combine Google Maps data collection with additional validation from company websites to maximize email and website coverage. Because this is an urgent project, I can prioritize it and start immediately. Once we discuss the expected volume and final filtering criteria, I can provide an accurate timeline and fixed cost. I am happy to share examples of previous lead-generation and Google Maps scraping projects upon request. Looking forward to discussing the details. Best regards

@ZohaibRoy

⭐⭐⭐⭐⭐ Efficient B2B Lead Generation from Google Maps for Berlin ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for B2B lead generation from Google Maps in Berlin. You don't need to look any further; Zohaib is here to help you! My team has successfully completed over 50 projects related to web scraping and lead generation. I will use effective methods to gather the required data and ensure it meets your specifications. ➡️ Why Me? I can easily handle your B2B lead generation project as I have over 5 years of experience in web scraping and data collection. My expertise includes data filtering, organization, and automation. I have a strong grip on tools like Python, Google Maps API, and data formatting for seamless delivery. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you! ➡️ Skills & Experience: ✅ Web Scraping ✅ Data Filtering ✅ Lead Generation ✅ Data Formatting ✅ Google Maps API ✅ Excel & CSV Handling ✅ Data Analysis ✅ Automation Tools ✅ Research Skills ✅ Data Organization ✅ Python Programming ✅ API Integration Waiting for your response! Best Regards, Zohaib

@TanvirKhanPaple

Hi there, I have checked the full project requirements carefully. I can deliver the data with all required fields, apply the requested filters, and provide the leads clustered by industry. I will show you few data sample before starting. Just message me I am ready to start right now. Thank you!

@tusharhossen123

Hi, I did that type of similar job before. Please send me search keywords then I will provide a few samples data now. Thank you

@usmanbashir12100

Hi, Yes, I can deliver exactly that. ✔ B2B leads from Google Maps across Berlin ✔ Filter out freelancers, solo operators, and very small businesses ✔ Exclude restaurants, cafes, bars, pubs, and other gastronomy businesses ✔ Deliver data organized by industry/category ✔ XLSX or CSV format Data fields: • Company Name • Phone Number • Email (where available) • Website • Industry/Category (German) • Address • Google Maps URL • Rating • Review Count • Opening Hours (where available) For filtering, I recommend combining review count thresholds with business-category validation to reduce small businesses and freelancers more accurately than using review count alone. I can start immediately and provide the first batch within 24 hours, depending on the total volume required. Could you share your target lead count (e.g., 5,000, 10,000, 20,000+) so I can provide an exact timeline and cost? Best, Muhammad Usman

@intelliresponse

Hello! I understand the urgency of your project and my commitment to excellence means I will do whatever it takes to get the job done fast and efficiently without compromising on quality or accuracy. I have worked on similar projects before where I was tasked with filtering leads by industry, reviewing businesses' rating counts, avoiding small companies/freelancers, and delivering data in an organized manner; clustered by industry. My experience using tools like Selenium, BeautifulSoup, Scrapy can significantly improve the efficiency in collecting bulk data. I also have significant experience organizing data, whether one would prefer Excel or CSV format. Given your project's clear requirements and my extensive skills in Python Web Automation & Data Mining, AI Solutions & Full-Stack, and Mobile Application development, I am confident that I can deliver exactly what you need. Let me help you save time by providing you comprehensive B2B leads from Berlin while avoiding small companies and those in the gastronomy sector. I will ensure that all your specified data fields are captured including optional data like ratings, review count, opening hours plus URLs from Google Maps. Time is of the essence here so let's get started!

@Herculesz

Hi I can deliver a structured Berlin B2B lead dataset clustered by German industry/category, with company name, phone, email where available, website, address, and optional fields like rating, review count, opening hours, and Maps URL. I have experience with B2B lead generation, Google Maps/Places data extraction, data enrichment, email discovery, CSV/XLSX formatting, deduplication, filtering logic, and industry-based clustering. The main technical challenge is collecting broad Berlin business data while filtering out gastronomy, freelancers, solo operators, and very small companies as accurately as possible. I will solve this by using category exclusions, review-count thresholds, website/contact enrichment, duplicate checks, and quality filters instead of simply dumping raw map results. For your assumption, review count above 5 is a useful first filter, but I would also combine it with business category, website presence, phone validity, and manual spot checks for cleaner B2B results. The final file can be delivered in XLSX or CSV, grouped by industry, with clean columns and notes for any missing optional data. My focus will be fast, accurate, organized lead data that is ready for outreach without wasting your time cleaning poor records. Thanks, Hercules

@sareheshak

AVAILABLE TO START IMMEDIATELY..,,. Using Python and Excel, I will deliver the complete Berlin B2B dataset clustered by industry with all required and optional data, filtered to exclude gastronomy and <5 reviews, within 12 hours for $150. 10+ years Advanced Excel experience, Certified VBA Programmer, MBA.

@emilesd617

Hi, This is not AI gerneated proposal.I can deliver exactly that including the filtering requirements and industry based clustering.I can start immediately and deliver the first dataset within 24–48 hours. The total cost depends on the final volume but for complete Berlin coverage I estimate around €500–€700. You can check good reviews on my freelancer profile. Thanks. Emile

@sagarwal3005

Hi, I have extensive experience in web development with expertise in Node.js, React, PHP, and Excel automation. I have successfully completed similar projects, including scraping data from Google Maps for B2B lead generation. I can provide the required data (lead name, phone, email, website, industry, address) with optional details (rating, review count, opening hours, maps URL) clustered by industry. I can exclude small companies and gastronomy businesses as per your specifications. I can deliver the project quickly and efficiently in xlsx or csv format. Let's discuss further details and the budget.

@muneeb6767

Yes, I can deliver exactly this with full filtering (Berlin B2B only, exclude <5 employees/small + freelancers + all gastronomy), clustered by industry, and including optional fields like ratings, reviews, opening hours, Maps URL + website/email where available. I can extract in bulk using Google Maps APIs + scraping automation and deliver clean CSV/XLSX within 24–48 hours depending on volume.

@zafarfarooq612

Hello, I can deliver exactly that: all B2B leads from Berlin, Germany via Google Maps, including company name, phone, email, website, industry (German category), address, plus rating, review count, opening hours, and maps URL. I will filter out small/solo companies (review count <5 or alternative logic to exclude <5 employees/freelancers) and exclude gastronomy (restaurants, bars, cafes). Results will be delivered in XLSX/CSV, clustered by industry. I use a bulk scraping approach (no PhantomBuster slot limits) with rotating proxies for speed. Timeline: complete extraction (estimated 5,000–8,000 qualified leads) within 48 hours for an expedite fee, or 3 business days standard. I can start immediately. Please confirm your email discovery method (I will attempt website contact scraping) and if you have a specific industry blacklist beyond gastronomy. Regards, Zafar

@techplusintl

Hi, ★★★ Python / Web Scraping Expert ★★★ 4+ Years of Experience ★★★ I can deliver B2B leads from Google Maps with filtering for review count and clustering by industry. This will include: - Extracting lead name, phone, email, website, industry, and address. - Filtering out small companies and gastronomy businesses. - Delivering data in xlsx or csv format. I will use Python with web scraping libraries to efficiently gather the required data in bulk. Ready to start once you provide access to any necessary tools or APIs. Thanks!

@mobimubasir

Hello there, I can collect Berlin B2B leads from Google Maps with company name, phone, website, category in German, address, rating, review count, hours, and Maps URL, then deliver clean CSV/XLSX files grouped by industry. I can also apply filters to exclude gastronomy and very small/solo businesses using review count, category keywords, website signals, and manual validation rules, with a fast sample first before the full bulk run.

@Sumyasuma

Hi, Yes, I can deliver exactly what you described. Please let me know the approximate number of leads you expect, and I can provide an exact timeline and price. Ready to start right now.

@quan9824

Hi, Yes, I can help deliver this B2B lead dataset for Berlin, clustered by industry, with filtering to reduce freelancers, solo businesses, and very small companies. I can collect and organize: Company name Phone Website Email, where publicly available Industry/category in German Address Rating Review count Opening hours Google Maps URL For filtering, review count <5 is a useful first pass, but I would also combine it with category filtering, website/company signals, and keyword exclusions to remove restaurants, bars, cafés, freelancers, and likely solo operators. Employee count is not directly available from Google Maps, so I would treat that as an inferred filter unless we enrich from company websites or other public sources. I can deliver the final data as XLSX or CSV, grouped by industry/category, with clean columns and duplicate removal. I can use Google Maps/Places-compatible workflows, scraping tools, or bulk enrichment depending on speed and data volume required. For urgency, I would suggest a phased delivery: first batch quickly for validation, then full Berlin coverage after confirming the filters and categories are correct. I can deliver exactly the requested structure, including optional fields where available. Please share your target volume, preferred industries if any, and deadline, and I’ll confirm timeline and price.

@mahisha123

I can scrape all B2B leads across Berlin from Google Maps in bulk, covering every industry (gastronomy fully excluded). You'll get all required fields — company name, phone, email, website, and industry category in German, plus full address — along with every optional field: rating, review count, opening hours, and the Maps URL. Data will be delivered as a single .xlsx file clustered by industry. To filter out solo operators and freelancers, I'll apply your suggested review count filter (under 5 reviews excluded), and if you'd like an extra layer of quality, I can additionally filter for businesses with a listed website, which reliably removes most informal sole traders. I work via API in a single bulk pass — no manual slot-by-slot collection, no gaps by category, which means no time wasted the way you've experienced with PhantomBuster. I can begin immediately and deliver within 24–48 hours. Happy to send a small sample first so you can verify the data quality before committing. Message me and we can get started right away.

@codefusion53

Hi, I can help you collect and organize B2B leads from Berlin, Germany, using Google Maps data and deliver the results in clean XLSX or CSV files clustered by industry. I can extract the required fields including company name, phone, website, German category, address, Maps URL, rating, review count, and opening hours where available. For emails, I can enrich the data from the company websites when publicly listed, since Google Maps does not always provide email addresses directly. For filtering, I can exclude gastronomy categories such as restaurants, bars, pubs, cafes, and similar businesses. To reduce small solo businesses, I can apply review count filtering, remove weak profiles, check website/business signals, and mark uncertain records for review. Employee count cannot be guaranteed from Google Maps alone, but I can create a strong practical filter to improve lead quality. The final file will be deduplicated, cleaned, categorized by industry, and structured for easy sales outreach. I can work fast on this and start immediately. Timing and price depend on the target lead volume, but I can provide a quick sample first so you can confirm the quality before the full run. Best, Justin