Romanian Business Data Scraping

@adeelpirzada

Hi, I am Adeel. I have built scraping pipelines using Python and Selenium for structured data extraction, including directory style datasets similar to what you need for Romanian companies. For this budget I would target one or two sectors first, likely electrical installations and carpentry, pulling name, phone and email from public directories and business listing sites, then dedupe before export. I can send a 20 line sample across two sectors once you confirm which sources are acceptable, since some directories block automated access and that affects volume per sector. Which sectors matter most to you if the full run cannot cover all five within this budget?

@vssolinc

Hello sir, I am expert web scraper with AI tools and scripts. I clearly understand your scope of work. Ready to start work right away. Leave a message for a unique sample before we proceed. Thanks

@intelliresponse

With over a decade's worth of experience in Web Automation and Data Mining, I am the ideal candidate to complete your Romanian Business Data Scraping project. Having previously worked with Python, Scrapy, Beautiful Soup, and Selenium - tools that you specified you wanted - I've honed my skills specifically in this area. To meet your requirements, I pledge to deliver several thousand records per sector, totaling tens of thousands, all within your budget of $15. I will ensure that every row has the correct three-column format with no obvious duplicates while populating phone numbers and email addresses for at least 90% of rows. Prior to embarking on the full scrape, I'll provide a sample that spreads across various sectors so you can verify its formatting and data quality. Meticulousness is vital in a project like this to avoid errors, ensuring you receive accurate results that meet your expectations.

@denisSolution

Hi, I'm Denis, a full-stack developer with experience building web scraping pipelines for business data collection. I understand you need a clean, automated dataset of Romanian companies across five sectors as a three-column CSV with name, phone, and email. I'll use Python with Beautiful Soup and Selenium to scrape public business directories and registries. My approach: identify reliable Romanian sources for each sector, extract data programmatically, deduplicate, validate contact fields, and format into CSV. I'm experienced with handling inconsistent formatting and missing data. For your budget, I can realistically deliver 3,000-4,000 records across the five sectors, with distribution reflecting availability in each category. I'll start with a sample of at least 20 rows across a couple of sectors so you can verify format and quality before the full run. Data quality is my priority. I'll ensure 90% populated phone and email fields by validating entries before delivery. Incomplete rows are skipped, and duplicates are removed based on company name and phone matching. Once you approve the sample, I'll deliver the complete dataset in Excel or CSV format. I'm ready to start immediately. Let's discuss the details. Thanks, Denis.

@PINESCRIPTERR

Hi, I can build the Romanian company database using automated Python scraping with requests, BeautifulSoup/Scrapy, and Selenium where required. I’ll structure the output strictly as Company Name, Phone, and Email, with sector separation, deduplication, normalization, and validation checks before delivery. I can also prepare an initial sample for approval before running the full collection. 1. Which Romanian directories, websites, or public sources should be prioritized for the five sectors? 2. Should companies with multiple phone numbers or emails be stored in one field, or should only the primary contact be retained? 3. Do you require the final CSV/Excel to include a sector column, or must it contain strictly the three requested columns? Regards, Houssame

@rosscarter1011

Hey, pulling those five Romanian sectors into a clean three-column CSV is totally doable with a quick Python script. For that fifteen dollar cap, I can pull about fifteen hundred verified records split evenly across the trades, with at least ninety percent having direct contact info. I'll drop a twenty-row sample right here in chat so you can check the formatting first. Which of the five sectors do you want me to pull for that initial sample?

@AvinaHSinha7

Hi there, I can automate this Romanian company scraping using Python with Scrapy/Requests + BeautifulSoup and Selenium/Playwright where required. I’ll collect only Company Name, Phone Number and Email, normalize the data, remove duplicates, and validate contact fields before delivery. Within the $15 budget, I can target 500 records per sector, 2,500 records total, with a target of 90%+ populated phone/email fields depending on publicly available data. I’ll first provide a 20+ row sample across at least two sectors for you to verify formatting and quality, then run the full automated collection after approval. You’ll receive a clean CSV/Excel file with exactly the requested three columns and the scraping script/process can be documented for repeat use. Total: 2,500 records — $15. Best Regards, Avinash

@muneeb6767

I can automate this with Python/Scrapy and deliver 500 records per sector (2,500 total) for $15, including deduplication and email/phone validation; I can provide a 20+ row sample across sectors first, then run the full scrape after approval.

@codeandcommand

Five sectors from a single scrape usually means duplicate entries once you pull from multiple registries, so I would dedupe on CUI before export. I can build this in Python with Scrapy and Selenium for the JS-heavy pages, output clean Excel sheets per sector. Can start now, done in 2 days. Bid and timeline are starting points, real scope gets locked in once we talk details. Want a quick scope doc?

@MSaadJaved

Hi, I’ll build an automated scrape of Romanian companies in your five target sectors, delivering clean CSV/Excel rows with company name, phone number, and email only. The main technical concern here is finding reliable sector-specific sources while keeping duplicates low and contact fields populated, so I’ll use automated crawling, normalization, and deduplication checks. I recently built a similar lead-collection workflow that extracted business contact data from mixed web directories and exported it in a tidy spreadsheet. For your project, I’d begin by identifying the best Romanian sources per sector, then run the scraper and validate a 20+ line sample across multiple sectors before expanding the batch. Can you confirm whether you want only companies with both phone and email, or should partially complete records be included if needed? Best regards, NexLoom

@melopgabriel

Hi, I can build an automated scraper for Romanian companies in the five sectors you listed and deliver the results in clean CSV or Excel format with only company name, phone number, and email address. I’ve done similar data collection work with Python, Scrapy, Beautiful Soup, and Selenium, including filtering, deduplication, and export cleanup for large lead lists. For this first batch, I can focus on a small verified sample of 20+ lines across multiple sectors so you can review formatting and data quality before the full run. My approach is to automate source discovery, extract the fields you need, normalize phone numbers and emails, remove duplicates, and structure everything to match your acceptance checks. If you’d like, I can prepare the sample first and then scale the scrape after approval. Best regards, Gabriel

@manishashree12

Hello there, I understand you need a database of Romanian companies in specific sectors with company name, phone number, and email address in CSV/Excel format. I can provide a sample with 20 lines across sectors for verification. I specialize in automated data scraping using Python, Scrapy, and Selenium. I assure you of accurate formatting and data quality checks, meeting your requirements. Let's discuss further to ensure a successful project completion. Thanks,

@mdabu38

Hi, I can handle this using Python-based automated scraping (Selenium/BeautifulSoup) — no manual copy-paste. For the $15 first batch, I can realistically provide around 500 records per sector (2,500 total) across the 5 sectors, with company name, phone, and email. I’ll remove obvious duplicates and focus on getting phone/email coverage as high as possible. I can also send you a 20+ row sample from multiple sectors first so you can check the format and data quality before funding the milestone. If the sample looks good, I can proceed with the full batch. Best regards, Md. Abu Sufian

@azwa04

Hi, How soon do you need the complete database of Romanian companies? I can efficiently scrape this data using Python and tools like Scrapy or Beautiful Soup. For this initial run, I can provide 50 records per sector (250 in total) for $15, ensuring they meet your acceptance checks: correct formatting, few to no duplicates, and at least 90% populated contact info. I’ll include a sample of 20 lines from a couple of sectors to verify the quality and formatting before proceeding. I’m ready to get started as soon as you approve the sample.

@dattapreti

Greetings, Hope you are doing very well. I can build your Romanian company database using automated scraping with Python, BeautifulSoup, Scrapy, or Selenium. I’ll collect company names, phone numbers, and email addresses, remove obvious duplicates, and deliver everything in a clean CSV/Excel format. Within your $15 budget, I can provide a realistic batch covering all five sectors, with the exact record count confirmed after the initial sample. I can also provide a 10+ row sample across multiple sectors for quality and formatting approval before proceeding with the full scrape. Ready to start immediately. Best regards, Preti

@lazarr4

Hello, The biggest challenge here will be ensuring the data is clean and consistent across all sectors, since each source may have different formatting for phone numbers and emails. I’ve worked with similar scraping projects where inconsistent data formats caused validation failures, so I’ll focus on normalizing the output early. I’ve scraped thousands of Romanian business listings before, using Python with Scrapy and BeautifulSoup to extract structured data from directories and local business sites. The key was building custom parsers for each sector to handle variations in how phone numbers and emails were displayed. I’ll start by scraping 500 records per sector (2,500 total) for the sample, then scale up to 5,000 records (25,000 total) if the sample meets your quality standards. The price will be $12 for the full dataset, leaving room for adjustments if any sectors prove harder to scrape. If the sample looks good, I’ll proceed with the full scrape. Let me know if you’d like to discuss further. Thanks, Lazar.

@naminghn

Hi there, I can provide a fresh database of Romanian companies specifically compiled into the sectors you've mentioned: design offices & architects, locksmithing & metalworking, electrical installations, stonemasons, and carpentry. My approach will involve using automated tools like Scrapy and Beautiful Soup to ensure I meet the criteria of correct formatting, with at least 90% of rows populated with phone numbers and email addresses. I can realistically supply around 100 records per sector within your budget of $15. To get started, I will include a small sample of at least 20 lines to verify the formatting and data quality before proceeding with the full scrape.

@robertb297

Hello which sites are there to scrape there is a new library uses llms for scraping called crawl4ai when do we start? And how much records you need

@safdarkhali1

Hello, I can build the Romanian company database using automated scraping methods such as Python, BeautifulSoup, Scrapy, and Selenium, with no manual copy-paste. For the initial $15 batch, I can realistically provide 20+ verified sample records first, followed by approximately 300 records total for the funded batch, distributed across the five sectors based on available qualifying companies. The final file will contain only the requested columns: Company Name, Phone Number, Email Address, delivered in CSV or Excel format. I will focus on automated extraction, duplicate removal, data cleaning, and validation, with the goal of keeping phone and email coverage at or above your 90% requirement. I can start immediately. Thank you, Safdar