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Best Portuguese-speaking freelance Data Scrapers to hire in 2025

Looking to hire Portuguese-speaking Data Scrapers for your next project? Browse the world’s best freelance Data Scrapers on Contra.

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Logo for Wix StudioLogo for RiveLogo for WebstudioLogo for GlorifyLogo for JitterLogo for FlutterFlowLogo for PeachWebLogo for CanvaLogo for Lottie FilesLogo for Workshop BuiltLogo for BuildshipLogo for AppsumoLogo for FramerLogo for BarrelLogo for BubbleLogo for LummiLogo for WebflowLogo for GrayscaleLogo for Stride UXLogo for InstantLogo for SplineLogo for KittlLogo for RelumeLogo for HeyGenLogo for Replo
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Tunji Ogunbiyi
London, UK
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Joao Melo
Dublin, Ireland
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React + Express + Gemini
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FAQs

Before hiring a data scraper, know what data you need. Think about why you need it and how you'll use it. Clearly state what websites or sources the data should come from. This will make it easier to find the right person for the job.
Share a project brief that includes your goals and timelines. Explain your specific data scraping needs. Make sure they know exactly what data to collect and how you will use it. Communication is key to getting the right data.
Data scrapers often use programming languages like Python or tools like BeautifulSoup and Scrapy. These tools help to gather data from websites efficiently. Check if the scraper is comfortable with your preferred technology.
Look for past work samples and feedback from previous clients. This will help you understand their skill level and reliability. Ask for a small test project to see how they perform before committing to a large project.
Set clear deadlines for each stage of the project. Make sure both you and the scraper agree on these timelines. This helps in managing expectations and ensures timely delivery of scraped data.
Decide on a preferred way to communicate, like email or chat. Agree on how often you'll have updates on the project. This will help both of you stay on the same page and address any problems quickly.
Clearly list what you want the data scraper to deliver. This could be structured data files in formats like CSV or JSON. Be specific about the amount and type of data you expect.
Discuss and sign a confidentiality agreement if needed. Ensure they understand the importance of data privacy. This adds a layer of trust and security to your project.
Talk to the data scraper about your new needs. Ensure the changes are within the agreed scope or revisit the agreement. Open communication helps in smoothly incorporating changes.
Check if the data matches your specified requirements. Verify the accuracy and completeness of the information. Providing feedback will help in refining the work if needed.
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