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Job Title: Education Data Research & Acquisition Specialist Position Overview We are seeking a highly analytical, detail-oriented Education Data Research & Acquisition Specialist to lead the end-to-end development of a structured, high-quality K–12 district contact database. This individual will be responsible for executing the full lifecycle of contact data acquisition—from strategic research and extraction through validation and final dataset preparation. The ideal candidate combines technical capability (data scraping, automation tools, AI-assisted extraction) with disciplined research methodology and strong data hygiene standards. This is not a narrow data-entry role; this position owns the entire acquisition pipeline. Core Responsibilities 1. Strategic Research & Prioritization Identify and prioritize K–12 school districts within each U.S. state, beginning with: Largest districts by enrollment Districts with publicly accessible staff directories Websites structured for efficient data extraction Develop and maintain a rolling acquisition roadmap by state and district size. Create a documented prioritization framework to maximize ROI and efficiency. 2. Directory Discovery & Data Extraction Systematically research district websites to locate staff directories. Determine directory structure (HTML tables, PDFs, searchable databases, dynamic portals, etc.). Utilize AI-assisted tools, data scraping utilities, or custom workflows to extract: First names Email addresses Adapt methodology for: Static directories JavaScript-rendered directories Paginated or segmented listings Protected or semi-structured formats 3. Technical Data Collection & Automation Build repeatable scraping workflows where feasible. Leverage AI tools to: Identify patterns in semi-structured data Standardize inconsistent formats Assist in parsing names and contact fields Maintain ethical and compliant scraping practices aligned with public data use. 4. Data Structuring & Hygiene Clean and normalize datasets (format consistency, casing, duplication removal). Standardize fields (First Name, Email Address, District, State, etc.). Identify and remove: Role-based emails (info@, contact@, webmaster@, etc.) Obvious duplicates Incomplete or malformed addresses 5. Email Verification & Quality Assurance Process all acquired email addresses through UseBouncer ([login to view URL]) or equivalent verification platform. Remove: Invalid emails Risky or disposable emails Hard bounce risks Deliver only high-confidence, verified email lists. Provide summary reports including: Total emails collected Verification pass rate Bounce risk percentages 6. Continuous Optimization Refine methodology as directory structures evolve. Document best practices and automation scripts. Improve acquisition speed and data quality over time. Transition from “low-hanging fruit” districts to more complex directories once easy sources are exhausted. Required Qualifications Experience with: Web research Data scraping tools (e.g., Octoparse, ParseHub, Python-based scraping, or similar) AI-assisted data extraction workflows Strong data hygiene and organizational skills. Familiarity with email validation platforms (UseBouncer preferred). Ability to work independently and manage large datasets. Comfort handling thousands to tens of thousands of records. High attention to detail and accuracy. Preferred Qualifications Experience building automated scraping pipelines. Basic knowledge of HTML structure and web page inspection tools. Experience using Python (BeautifulSoup, Selenium, etc.) or no-code scraping platforms. Background in database management or CRM list building. Performance Expectations Success in this role will be measured by: Volume of verified, high-quality email contacts acquired. Low bounce rate after verification. Efficiency in prioritizing high-yield districts. Ability to progressively tackle more complex directory structures. Documentation and repeatability of processes. Deliverables Structured, verified datasets ready for email platform import. Verification reports from UseBouncer. State-by-state acquisition tracking documentation. Continuous process improvement recommendations.
Projekt-ID: 40241185
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I am an experienced data research and scraping specialist with a strong background in building large, high-quality contact databases. I can manage the full lifecycle—from district prioritization and directory discovery to automated extraction, data cleaning, and email verification. Using tools such as Python, AI-assisted parsing, and advanced scraping platforms, I ensure accurate, structured, and scalable data collection. I follow strict data hygiene standards, remove duplicates and role-based emails, and deliver verified contacts with detailed quality reports. I work independently, document processes for repeatability, and continuously optimize workflows to improve efficiency, accuracy, and overall ROI for large-scale K–12 data acquisition projects.
$3 USD på 40 dage
3,7
3,7
9 freelancere byder i gennemsnit $8 USD/time på dette job

Hi there! I carefully read your full project description and I understand this is not simple data entry work. You need someone who can own the full acquisition pipeline — from research and scraping to validation and structured delivery. I have experience in web research, large-scale data scraping, and AI-assisted extraction workflows using Python (BeautifulSoup, Selenium) and tools like Octoparse. I’ve handled datasets with tens of thousands of records, focusing strongly on data hygiene, normalization, and duplicate removal. I also have experience working with email verification platforms and preparing clean CRM-ready datasets with detailed reporting. My approach will start with building a prioritization framework by state and district size to maximize ROI. Then I will create repeatable scraping workflows depending on directory structure (HTML, PDF, JS-rendered). After extraction, I will clean and standardize all fields, remove role-based and malformed emails, and run verification through UseBouncer or equivalent. Finally, I will deliver structured datasets with verification reports and clear documentation for repeatability and scaling. Check our work https://www.freelancer.com/u/ayesha86664 Do you already have a preferred CRM format for the final dataset export? Let me know if you’re interested & we can discuss it. Best Regards Ayesha
$5 USD på 40 dage
2,6
2,6

Hello. I read your requirement i will do that. Please come on chat we will discuss more about this. I will waiting your reply
$5 USD på 40 dage
2,0
2,0

With over a decade of experience in both AI and automation within the realms of digital marketing, I'm excellently suited for the role of Education Data Research & Acquisition Specialist. One of my key strengths lies in my ability to design intelligent systems that attract, qualify, and convert leads automatically while reducing operational costs – a skill that will be particularly germane for the success of your data acquisition project. Drawing from my proficiency in building automated scraping pipelines and utilizing AI-assisted tools, my service assures expedient collection of comprehensive datasets while strictly adhering to ethical practices. As the project calls for disciplined research methodology and stringent data hygiene – qualities I firmly believe in - I assure to leverage my strong organizational capacity alongside being attuned to the finest of details. My comprehensive understanding of multiple data extraction methodologies ranging from HTML structures to dynamic portals aligns exactly with your need for standardizing district contact directories. What sets me apart is not just my ability to work independently, but also my knack for managing large datasets without compromising on accuracy or performance – a feat that becomes all the more critical when handling thousands to tens of thousands of records. Moving towards appreciating its future prospects, partaking in this opportunity poses an intriguing challenge as I'll ........
$2 USD på 40 dage
0,0
0,0

Hi, I am an expert full stack developer with skills including Market Research, Data Collection, CRM, AI (Artificial Intelligence) HW/SW, Data Management and Data Scraping. After reviewing the project requirements, I found the project perfectly match my experience and skills. Having previously worked on similar projects, I'm confident I can complete this project perfectly. To move forward, Please contact me to discuss more regarding this project. Always happy to hear from you
$20 USD på 35 dage
0,0
0,0

Hello, I have aggressive experience building large scale data acquisition pipelines using Python scraping tools, AI assisted extraction, structured data cleaning, and email verification workflows. I specialize in creating repeatable, documented systems that deliver high quality verified datasets with low bounce rates. Which states should we prioritize first and do you already have a CRM schema we must match for field structure? Let us start right now, jump in chat and get started. best, Jibran
$5 USD på 40 dage
0,0
0,0

I was immediately drawn to your project for an Education Data Research & Acquisition Specialist, as it aligns perfectly with my expertise in software development for the past 7+ years. Your need for a detail-oriented specialist to lead the development of a K–12 district contact database resonates with me, and I am excited to share my approach to completing this project. Key Steps: - Strategically prioritize districts based on enrollment and accessible directories - Systematically extract contact data using AI-assisted tools and custom workflows - Build repeatable scraping workflows and leverage AI tools for data collection - Clean and normalize datasets, remove duplicates and role-based emails - Verify emails through UseBouncer and provide detailed quality assurance reports - Continuously optimize methodologies and document best practices Technologies/Tools: - Experience with Octoparse, ParseHub, and Python-based scraping - Proficiency in AI-assisted data extraction workflows - Familiarity with UseBouncer for email validation - Knowledge of HTML structure and web page inspection tools - Skills in Python (BeautifulSoup, Selenium) for scraping pipelines I have successfully completed similar projects in the past, including building automated scraping pipelines and managing large datasets with high accuracy. The outcome of my projects has always been structured, verified dataset
$2 USD på 7 dage
0,0
0,0

Hello, I hope you’re well. I’m a data-focused professional who builds robust acquisition pipelines from scratch. I bring deep experience in web research, data scraping (Python, HTML inspection, and no-code tools), AI-assisted extraction, and strict data hygiene, perfect for creating a high-quality K-12 district contact database. I’ll design a scalable workflow that identifies target districts, extracts staff directories across static and dynamic pages, normalizes fields, and removes duplicates and risky emails, delivering clean, verified datasets ready for import. I can implement repeatable scraping, maintain an acquisition roadmap by state, and optimize for ROI while documenting every step for future refinement. Expect consistent progress and transparent verification reports, with a delivery cadence aligned to milestones. Please feel free to contact me so we can discuss more details. Best regards, Billy Bryan
$20 USD på 36 dage
0,0
0,0

bennington, United States
Betalingsmetode verificeret
Medlem siden mar. 22, 2023
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