12-Hour UK Fleet Scraper

@ZohaibRoy

⭐⭐⭐⭐⭐ Extract 4000 B2B Logistics Leads with Precision and Speed ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and can see you're looking for a senior data engineer to extract 4,000 premium B2B logistics leads. You have no need to look any further as Zohaib is here to help you! My team has successfully completed over 50 similar projects in data extraction. I will create a clean database by utilizing APIs and background scripts to ensure accuracy and meet your strict deadlines. ➡️ Why Me? I can easily handle your lead extraction project as I have 5 years of experience in data engineering, specializing in web scraping, data mining, and lead generation. My expertise covers Python programming, Excel data handling, and API integration. Additionally, I have a strong grip on data verification processes, ensuring the highest quality of results. ➡️ 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 in chat. ➡️ Skills & Experience: ✅ Python ✅ Web Scraping ✅ Data Mining ✅ Lead Generation ✅ Excel ✅ API Integration ✅ Data Validation ✅ CSV Formatting ✅ Data Analysis ✅ Database Management ✅ Automation Scripting ✅ Problem Solving Waiting for your response! Best Regards, Zohaib

@w3saddam

FLEET2026 I can deliver exactly 4,000 UK logistics leads within your required format and deadline. I have experience with Python, web scraping, lead generation, and data verification, and I will cross-reference company records with the UK Operator Licence register and supplement vehicle year verification using trusted vehicle data APIs where appropriate. All corporate emails will be verified, phone numbers validated, and the final CSV will match your specified column headers exactly. I'm available to start immediately and can provide regular progress updates throughout the 12-hour sprint.

@Tanmoy236

FLEET2026 Hey! I specialize in B2B lead generation and data engineering with 9+ years helping businesses build verified prospect databases from trusted sources. I can deliver a clean, structured UK logistics lead list with validated contact data and documented vehicle verification methods. Here's how I can help: • Build verified UK logistics decision-maker database • Cross-reference fleet records using trusted registries • Verify emails, phones, and company information • Deliver clean CSV matching your required format Could you clarify whether you already have preferred DVLA or vehicle data sources, or would you like me to use the most reliable available registry and API combination for the verification process?

@brashel

FLEET2026 Hi Client, I can deliver a clean UK logistics lead database using Python with verified data cross-checked against DVLA Operator Licence records and vehicle data APIs, meeting your 12-hour deadline.

@Hadiibaba

Hi there, I’ve thoroughly reviewed your project details and am confident I can deliver exactly what you're looking for. I have direct experience with this type of work and can start right away. To show you what I can do, I’d be happy to prepare a quick sample for your review. Let’s connect to discuss the full scope of work so I can provide an accurate project estimate. Best regards, Muhammad Haris

@sagarwal3005

FLEET2026. To extract a clean database of logistics leads, I will utilize the UK DVLA Operator Licence registry and third-party vehicle checker APIs to verify the fleet size and vehicle manufacturing years against your specific filters. Using Python along with web scraping tools, I will ensure that I gather accurate data while adhering to the strict deadlines. My strong capabilities in Python, data scraping, and API integration will ensure the efficient delivery of a verified CSV file. With a 4.9-star rating across 200 client reviews and 220 projects completed, I am committed to meeting your requirements. Could you confirm if any specific APIs should be prioritized for vehicle verification?

@TeraByte26

FLEET2026 I will deliver 4000 UK B2B logistics leads in 12 hours. I will use the UK DVLA Operator Licence registry API. I can start now, do you want a sample? Waiting for your response in chat! Best Regards.

@muneeb6767

FLEET2026 I can build a Python-based data collection and verification pipeline to compile a clean, deduplicated UK logistics lead database, validating company and contact information while cross-referencing fleet data from legitimate operator-licence and vehicle-information sources where available. For fleet verification, I'd evaluate official UK operator licence datasets and appropriate vehicle information APIs/licensed data providers to determine available manufacture-year and fleet attributes, then deliver a well-structured CSV with validation reports and clear documentation.

@dtk507

Hello. I'm Davide, I'm here to help you. FLEET2026 , I understand you need 4,000 UK-only logistics leads with verified fleet and vehicle data. I'll build a Python scraping pipeline with background workers to collect company records, then cross-check fleet counts and vehicle years through DVLA Operator Licence data, MOT-history routes where available, and vehicle-checker APIs for 2020+ validation. Corporate emails will be verified against MX and SMTP signals, phones normalized, and the final CSV mapped exactly to your headers in Excel-ready format. I’ll keep the logic strict on UK geography, 11-200 employee bands, and transport-specific titles, then dedupe and QA the dataset before delivery. Which vehicle-checker API or registry access do you already have, or should I source the verification route myself? I can start immediately and you can get good results within 12 hours. Looking forward to hearing from you. Best regards, Davide

@DeveloperStation

FLEET2026 Hi, I build Python scrapers with Selenium and background cross-reference scripts, so the DVLA angle is the real question here. The public DVLA Vehicle Enquiry API and MOT History API return make and first-registration year by VRM, but neither maps VRMs to a company by name. The reliable route is the DVSA Operator Licence (goods vehicle operator) register for the company plus fleet size, then VRM lookups against DVLA/MOT for the 2020+ year filter. Confirm you accept operator-licence fleet counts where a live VRM list is not public, since some operators do not publish plates. We run this kind of data pipeline and automation work in-house at MangoCoders. Start with one milestone so you only release on a verified sample batch. Which source do you already have API access to? Adil

@ImranAli01

Hi, I got that you are looking for a senior data engineer to extract a clean database of 4,000 premium B2B logistics leads from the UK within a strict 12-hour deadline. This is what I can help you with, let's chat. My approach is to utilize Python for web scraping and data mining to extract the required information. I will use specific APIs and background scripts to cross-reference company profiles against the UK DVLA Operator Licence registry and other relevant sources to verify the truck years. The final deliverable will be a CSV spreadsheet with mapped column headers containing company names, decision maker details, verified email addresses, phone numbers, fleet vehicle count, vehicle manufacture year, and vehicle asset type. As final deliverables, you will receive a clean and organized CSV spreadsheet with all the requested data fields accurately filled. One thing I'd like to confirm before we start: Are there any specific preferences regarding the format or layout of the final deliverable? Looking forward to discussing this further with you. Let's connect soon. Regards, Imran

@carlosd178

FLEET2026 As a result of a detailed review of your project requirements, I understand the target filters, strict CSV structure, and the importance of validating every record rather than supplying a generic logistics contact list. I have experience with Python-based data extraction, API integration, deduplication, domain validation, and structured lead-data workflows. In my opinion, the main challenge is reliably linking companies and decision-makers to fleet-level vehicle data. I would cross-reference the official DVSA Vehicle Operator Licensing records with the DVSA MOT History API or authorised vehicle-data sources to validate fleet assets, manufacture dates, and vehicle types, then verify corporate emails and phone numbers before export. I can prioritise the strongest matching records within the 12-hour sprint, although the exact volume depends on API access, source coverage, and the availability of publicly verifiable direct-contact data. The final CSV will follow your required headers exactly and include only evidence-backed records, with duplicates and incomplete entries removed. I have one quick question. • Will you provide authorised DVSA/MOT API credentials or a preferred third-party vehicle checker account? I would be glad to discuss the data-access details and begin immediately. Best regards, Carlos

@trm66614

FLEET2026 I am excited about the opportunity to deliver a high-quality database of premium B2B logistics leads within the strict 12-hour deadline. I understand the urgency of this project and am prepared to use the DVLA Operator Licence registry and vehicle checker APIs to ensure accurate verification of the vehicle manufacturing years. I plan to utilize my expertise in Python and web scraping to efficiently gather and refine the required data, ensuring that the lead list meets all the specified criteria. With my strong background in data mining and lead generation, I will ensure that each entry consists of verified corporate emails and direct dialing numbers. Additionally, I am committed to delivering the results in the specified CSV format, thoroughly checked to meet your expectations and project requirements. What specific API or registry services do you prefer for vehicle verification? Looking forward to potentially working together! Best, Talha

@chiragpipal

⚠️ If you're not happy, you don’t pay. ⚠️ Hi, Thank you for checking my proposal and sharing the detailed project brief. I can extract a clean database of 4,000 premium B2B logistics leads using Python, leveraging web scraping and data mining techniques with a fast, efficient process. I will deliver: • Company Name • Decision Maker Name • Corporate Email (100% verified) • Verified Mobile/Phone (direct dialing routes) • Fleet Vehicle Count • Vehicle Manufacture Year • Vehicle Asset Type To verify vehicle years, I'll utilize the UK DVLA Operator Licence registry and vehicle checker APIs, ensuring compliance and accuracy. You will also receive a comprehensive CSV guide for easy integration. I am confident I can execute your vision professionally and efficiently. Looking forward to discussing timeline and next steps. Best regards, Chirag

@Joelite17

FLEET2026 Within 6 hours. I can deliver a clean database of exactly 4,000 UK B2B logistics leads within your required format and deadline. FLEET2026 I have experience building Python-based scraping and data enrichment pipelines that combine multiple data sources, validate records, and export clean CSV datasets. FLEET2026 I can deliver this immediately within 6 hours.

@mahads31

I have just the skillset, experience, and resources to pull off your ambitious project, and I'm ready to boldly begin with FLEET2026! My comprehensive knowledge of Python, Web Scraping, Data Mining,Lead Generation and Excel aligns perfectly with your needs. On the technical side, I plan on using a combination of the UK DVLA Operator Licence registry and third-party vehicle checker APIs to ensure an accurate verification of the truck years. Using these techniques will not only expedite the process but also provide the precision and assurance you need. Having worked on similar time-sensitive projects in the past, my efficiency has been tried and tested. I understand that your project demands meticulous attention to detail while delivering results promptly. Let me assure you that 'on-time' is my middle name! Furthermore, my deep understanding of lead generation allows me to blend automated processes with real-world intelligence, ensuring clean and validated data for each entry in the required_csv spreadsheet layout. If trust is what you seek, let me assure you that it's my guiding value. Treating your data with absolute confidentiality is not just a commitment but an obligation that I take extremely seriously. I invite you to leverage my time-tested skills at API Integration and my proven track record of delivering quality outcomes within tight deadlines.

@MohsinCodeCraft

FLEET2026 Hi, I can help you build a targeted UK B2B logistics lead database with structured, verified data according to your required format. I have experience with Python-based data extraction, web scraping, data cleaning, lead generation, and creating accurate CSV datasets. I’ll collect and validate company information, decision-maker details, contact data, and enrich fleet-related attributes using reliable sources such as UK operator licence data, DVLA-related records, MOT datasets, and suitable third-party APIs where available. I’ll ensure the final CSV follows your exact column structure and remove duplicates or invalid records before delivery. I understand the importance of accuracy for outbound campaigns and can focus on delivering a clean, organized dataset within the required timeframe. Please feel free to message me to discuss the project further. I’d be happy to share samples of my previous work in the chat. Thanks and regards, Mohsin

@shakilan4

FLEET2026 Hi, I can build a targeted UK B2B logistics lead database using Python, web scraping, data mining, and automated validation. I’ll cross-reference company and fleet information against available UK Operator Licence/DVLA-related data sources and reputable vehicle-data APIs to verify fleet size and vehicle manufacture years, then validate business contact details and deliver the exact CSV structure requested. I can prioritize the 12-hour deadline and provide clean, deduplicated, structured data ready for outreach. Best Regards, Shakila Naz

@gowthamsarathy

FLEET2026. I CAN FINISH WITHIN 2 TO 2 HOURS FROM NOW This project requires more than standard lead generation—it needs accurate data verification across multiple sources to produce a clean, high-quality B2B logistics database within a very tight deadline. The objective is to deliver verified decision-maker contacts while validating fleet information so the final CSV is immediately usable. Here's how I'd approach the project: I'll first identify UK logistics companies that match your employee-size criteria, then enrich decision-maker details and verify corporate emails using multiple validation sources. For fleet verification, I'll cross-reference publicly available DVLA Operator Licence data where applicable, UK MOT history datasets, and reputable vehicle information providers/APIs to determine fleet size, vehicle manufacture years, and asset types. The dataset will be deduplicated, validated, and exported exactly in your required CSV format with consistent column mapping and quality checks before delivery. The final delivery will include the verified CSV dataset, validation summary, documentation of the verification approach, and support for any minor corrections after delivery. Relevant Work: https://www.freelancer.in/projects/beautifulsoup/Maritime-Job-Board-Scraping https://www.freelancer.in/projects/beautifulsoup/Python-Meetup-Events-Scraper Kind regards, Gowtham