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I want the last two years of China-to-India shipment information pulled from reliable trade-intelligence platforms such as Zauba, TradeAtlas, Volza or any equivalent source you already subscribe to. The spreadsheet must be company-wise, and I need exporter names to be rock-solid and complete, even if that means cross-checking more than one database. Importer names, quantity, value (in USD) and the HS code in 6-digit format should accompany each line so the file is ready for immediate analysis. Please scrape, clean and normalise the raw downloads so there are no duplicates, merged cells or hidden characters. Keep column headers simple and make sure numeric fields are truly numeric—I will be running pivot tables the moment I receive the file. Deliverables • One Excel workbook (.xlsx) with separate tabs for raw pulls (if you want to show provenance) and a final “clean” tab containing: Exporter Name, Importer Name, 6-digit HS Code, Quantity, Value (USD), Date/Month of shipment. • A brief note on the exact data sources and any filtering rules applied, so I can reproduce or update the dataset later. If you are comfortable navigating the usual trade portals and can turn this around quickly, let’s get started.
ID do Projeto: 40138603
14 propostas
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Ativo há 16 dias
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14 freelancers estão ofertando em média ₹8.569 INR for esse trabalho

As an experienced full-stack developer, with a particular focus on web scraping and data analysis, I am confident in my abilities to deliver the results you're looking for. My work history includes esteemed companies such as Metlife GOSC and DXC technologies where I have been responsible for automating processes, manipulating raw data, and creating meaningful insights through robust analytical models. Over the years, I've worked extensively with data tools including Excel, Python, R and SQL, which will be vital in ensuring a seamless extraction process as you require. In terms of your project, I know every second counts in business and pride myself on delivering quality results quickly. My average project completion time is one of the lowest around and this doesn't mean sacrificing accuracy or quality - quite the opposite. Complex tasks like yours require thoroughness and cross-checking that I am more than willing to provide to ensure exporter names are rock-solid. Furthermore, my proficiency in spreadsheet organization means you can expect an easy-to-use final product with precise numeric fields & distinct columns for convenient pivot table application as essential to your immediate analysis needs.
₹12.000 INR em 5 dias
8,6
8,6

With my vast experience in data-related projects and a successful track record spanning over 16 years, I believe I am the perfect fit for your China-India Trade Data Extraction task. Not only have I accrued substantial earnings from esteemed global clients on Freelancer, but I've also had direct ownership and strategic involvement in every project like yours. I am comfortable navigating multiple trade platforms, which makes extracting and cleansing data from online trade intelligence sources second nature to me. As a Google Adwords and Adsense expert, I have acquired an excellent grasp of working with spreadsheets at a level you expect - merging cells, eliminating duplicates and hidden characters, and keeping numeric fields truly numerical. My proficiency in web design applies meaningfully here; it empowers me to simplify columns headers and format data effectively even for immediate analytical usage with tools like pivot tables. Above all,I have critical thinking skills to cross-reference various databases to ensure the exporter names are rock-solid before presenting the final dataset..I look forward to bringing this wealth of experience and intricate understanding of your project into play as we tackle this task together.
₹12.000 INR em 79 dias
3,2
3,2

Hello. Let's connect. I have Volza subscription and can provide the data to you. I have been working in Export-Import from past 10 years.
₹18.000 INR em 1 dia
2,0
2,0

Having traversed numerous trade portals in my previous roles and assuming a genuine interest in the data you need, I am more than ready to handle your China-India Trade Data Extraction needs. As a seasoned web developer specializing in web scraping, I uniquely blend technical expertise with an acute attention to detail, which perfectly aligns with the complexity of your project. In my process, I would employ robust solutions – be it using known platforms for extraction or leveraging tailored tools and custom-made scripts – to provide you with reliable data from multiple sources like Zauba, TradeAtlas or Volza. Knowing that smooth analysis is crucial to you, I assure a clean dataset; my proficiency extends beyond just extraction, as I am experienced in normalizing raw pulls and handling any duplicate, merged cells or hidden character issues. Moreover, I believe effective communication underpins successful collaborations. I understand how important it is for you to have results that are reproducible or updatable. Therefore, alongside your final deliverables, I'll also provide a concise note on the exact data sources and filtering rules applied - so that you can confidently utilize and reproduce the dataset later. With me onboard for this project, you not only gain an adept web scraper but a reliable teammate who commits to efficaciously delivering your datasets ready for immediate analysis. Let's collaborate!
₹5.000 INR em 7 dias
0,0
0,0

Hello there, I am excited about the opportunity to work on your project requesting the extraction of the last two years of China-to-India shipment data from reputable trade-intelligence platforms such as Zauba, TradeAtlas, Volza, or similar sources. I am committed to providing you with a meticulously curated spreadsheet that includes exporter names, importer names, quantity, value in USD, and 6-digit HS codes for each entry, ensuring seamless data analysis and reporting. Rest assured, I will deliver a clean and organized Excel workbook with transparent data sources and filtering methods for your future reference. Regards, anilptk
₹6.160 INR em 3 dias
0,0
0,0

I am monu bishnoi. Give me this work. I am honestly completely this work work in Time. I need work and need money.
₹7.000 INR em 7 dias
0,0
0,0

Hi there! Your "China-India Trade Data Extraction" project is a perfect fit for my skills. I specialize in **Python** for web scraping, data processing, and robust cleaning – ideal for platforms like Zauba, TradeAtlas, or Volza. I will deliver the last two years of China-to-India shipment data in an Excel workbook, ensuring precise exporter/importer names, 6-digit HS codes, quantity, and value (USD). Data will be meticulously scraped, cleaned (no duplicates, merged cells, or hidden characters), and normalized for immediate analysis and pivot tables. Numeric fields will be truly numeric, and column headers simple. The .xlsx workbook will include separate raw (optional) and "clean" tabs, plus a concise note on sources and filtering. I'm comfortable navigating trade portals and ready for a quick turnaround. Let's begin! Regards: Nikhil Chandra Roy.
₹7.000 INR em 7 dias
1,0
1,0

I’m a Python developer with 6+ years of experience in web scraping, automation, and data processing. I deliver accurate data quickly, can start immediately, and I’m open to reasonable price negotiation.
₹3.000 INR em 5 dias
0,0
0,0

I can do this work easily turning excel workbook with separate tabs and shall keep all record of your data as you suggested. I can also research all the topics which you have listed above. kindly tell me that in how much days you want this project to be completed.
₹11.000 INR em 7 dias
0,0
0,0

I have hands-on experience extracting, validating, and cleaning international trade and customs data for analysis-ready delivery. I will pull the last 24 months of China-to-India shipment records from reliable trade-intelligence portals, cross-check exporter names across sources, and normalize company names for accuracy. The final Excel file will be fully pivot-ready with clean numeric fields, no duplicates, and separate raw and cleaned tabs. I will also document sources and filtering rules so the dataset can be easily reproduced or updated. I can share a small sample early for validation and deliver within 5 days.
₹10.000 INR em 5 dias
0,0
0,0

Hello, I can deliver a clean, reliable dataset covering the last two years of China-to-India shipment data, sourced from established trade-intelligence platforms such as Zauba, Volza, TradeAtlas, or equivalent databases I have access to. I understand that exporter name accuracy is critical, and I’m comfortable cross-verifying records across multiple sources to ensure names are complete, standardized, and dependable. Scope & Approach Extract company-wise shipment records with the following fields: Exporter Name Importer Name 6-digit HS Code Quantity Value (USD) Shipment Date / Month Scrape and consolidate raw data from one or more reliable portals Clean, normalize, and de-duplicate the dataset: No merged cells, hidden characters, or formatting artifacts Numeric fields (quantity, value) delivered as true numeric values Consistent naming conventions for companies and HS codes Deliverables One Excel workbook (.xlsx) containing: Separate tab(s) for raw pulls (optional, for provenance) One final “Clean” tab ready for pivot tables and analysis A short methodology note detailing: Exact data sources used Time range and filters applied Any normalization or validation rules I’m comfortable navigating trade portals, handling large datasets, and producing analysis-ready Excel outputs with a strong focus on data integrity. I can move quickly without compromising accuracy. If this aligns with your needs, I’m ready to start immediately. Best regards, Vaibhav Jadhav
₹2.000 INR em 7 dias
0,0
0,0

Hello, I can compile and deliver a clean, analysis-ready dataset of China-to-India shipment records for the last two years, structured company-wise and suitable for immediate pivot-table use. I’m familiar with working on trade-intelligence platforms such as Zauba, Volza, TradeAtlas, and equivalent databases, and I understand the importance of accurate exporter names, consistent HS-code formatting (6-digit), and properly normalised numeric fields. Where required, I cross-verify exporter/importer names across multiple sources to improve reliability and completeness. My approach: • Pull shipment records for the defined date range and trade lane (China → India). • Standardise exporter and importer names, remove duplicates, and clean hidden characters or formatting issues. • Normalise quantity and value fields so all numerics are true numbers (no text, no merged cells). • Deliver one Excel workbook with: – Raw data tabs (by source, if useful for provenance) – One final clean tab containing: Exporter Name, Importer Name, 6-digit HS Code, Quantity, Value (USD), Shipment Date/Month • Provide a short methodology note outlining sources used and filtering rules so the dataset can be reproduced or updated later. I can complete this within [insert timeframe, e.g. 2–3 business days], depending on the final scope and HS-code breadth. I’m happy to begin as soon as you confirm the preferred sources and date range.
₹7.499 INR em 3 dias
0,0
0,0

You’re not asking for “data access” — you’re asking for decision-grade trade intelligence that you can pivot, slice, and stress-test the moment it lands in Excel. That’s exactly how I work. I routinely extract China → India shipment data from platforms like Zauba, Volza, TradeAtlas, and parallel databases, then cross-verify exporter identities across sources to eliminate aliasing, spelling drift, and shell-company noise. Exporter names are normalized at the legal-entity level, not copied blindly from a single portal. What you’ll receive is not a raw dump, but a clean, analysis-ready workbook: company-wise records true numeric quantities and USD values standardized 6-digit HS codes no duplicates, no merged cells, no hidden characters structured exactly for pivot tables and downstream modeling I’ll also document data provenance and filtering logic so you can reproduce or refresh the dataset later without vendor lock-in. In short: I handle the messy back-end work so you can focus on insights, not cleanup. If accuracy and speed both matter, this is a good fit.
₹12.300 INR em 7 dias
1,5
1,5

India, India
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