Survey Participant Sourcing Assistant - Virtual Web Scraping

@anjcanimo

Hi, I believe I’m the right person for this role. I have almost 10 years of VA experience, with strong skills in lead generation, web research, data collection, data entry, and organizing large amounts of information accurately. I’m comfortable researching public sources, verifying information, collecting relevant contact details, and maintaining clean spreadsheets with source URLs for each record. I can also separate the general-public and undergraduate groups and follow your specific demographic criteria and research guidelines. I’m highly detail-oriented and understand that accuracy and verifiability are more important than simply producing a high volume of records. I’m also comfortable learning new tools and following your SOPs. For the initial 1,000 participants, I can work within the $250 budget, subject to the agreed sourcing criteria and requirements. I’m also interested in supporting multiple projects on a long-term basis. I’ve worked with clients from Asia, Europe, Australia, and the US, so I’m flexible with working hours and can adjust to your project schedule. Best regards, Anj

@deepabittu

Hello sir we have good team my team complete many task with good result so pls give me one chance then i am start work right now then start work ....

@p4logics

Dear Sir, I am a skilled Python developer with extensive experience in building efficient, scalable and high-performance applications. I specialize in developing clean, maintainable code using modern Python frameworks and best practices. My expertise includes working with libraries and frameworks such as Django, Flask, FastAPI, Pandas, NumPy and API integrations. I have successfully delivered projects involving automation, backend development, data processing and custom Python solutions tailored to client requirements. You can review the quality of my work and client feedback on my Freelancer profile: https://www.freelancer.com/u/p4logics I look forward to the opportunity to work with you. Best regards, Deepak

@HanyasSalem

Hi there, Drawing from my background as a physician and researcher, I am well-versed in data collection, management, and analysis - skills that align perfectly with your project requirements. I am an adept Python user and have experience with data scraping tools like BeautifulSoup, Selenium, and Scrapy. I know how to sidestep rate limits and captchas to ensure a smooth and expedient data gathering process. Furthermore, my proficiency extends to handling enormous datasets and utilizing R for both descriptive and inferential statistical analysis. This means that aside from your sourcing needs, I will also be able to help you make sense of the gathered data, furnishing you with clear demographics of each participant set. Finally, as someone who values robust results grounded in authenticity, I prioritize accuracy and verifiability — key factors you emphasized throughout your project description. With my meticulous approach, not only will each participant record be enriched with basic demographic information, but I will also provide sourced URL or reference for every contact to aid in GDPR/CCPA compliance. Therefore, selecting me would ensure reliable sourcing conducive for your research efforts. In terms of cost per 1000 participants meine is $1500 but negotiable depending on the details also

@hiberokpars

Hello! I can build a clean dataset of 1000 potential research participants from public sources I will separate the general public and undergraduate groups and include available contact and source information I will use PHP scripts and APIs where possible and validate the collected data before delivery I will also keep the source URL for each record so the data can be reviewed Please send the target countries demographics and preferred sources I have extensive experience in automated data collection scraping and CSV processing

@denisSolution

Hi, I'm Denis, a full-stack developer experienced in building data collection systems and web scraping pipelines for participant sourcing and list management. I understand your needs: a reliable system to source contact information from public sources, validate it, enrich it with demographics, and organize it for GDPR and CCPA compliance. You prioritize accuracy and verifiability over volume. My approach: 1. Requirements review to map target sources and demographic criteria 2. Build a Python-based scraping pipeline using BeautifulSoup and Selenium for dynamic content 3. Capture source URLs with each contact for audit trails 4. Include demographic enrichment during collection 5. Output clean CSV/Google Sheets with clear segment separation 6. Test for bounce rates and data quality before delivery I'll handle rate limits and anti-scraping measures using proper delays, rotating headers, and headless browser automation to keep the pipeline stable and sustainable. One realistic challenge: source quality varies. Some directories stay current while others accumulate dead contacts. I recommend starting with your highest-confidence sources and validating a sample before scaling. For 1,000 participants with demographics and source verification, I estimate 800-1,200 USD depending on specific sources and demographic depth. For ongoing campaigns, we can discuss retainer or per-batch pricing. I'm available to start immediately. Let's discuss the details. Thanks, Denis.

@FreelancerTechX

Hello, I have read your job description and I am interested in your job post. I am ready to start now. Please send me a message to discuss more about your project. Thanks and Regards, Everest Technology

@topcreator100

Hello there , Good afternoon! I’ve carefully checked your requirements and really interested in this job. I’m full stack node.js developer working at large-scale apps as a lead developer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in React/Redux, Angular JS, Node JS, Ruby on Rails, html/css as well as javascript and jquery. I have rich experienced in Scrapy, Research, Data Entry, Python, Data Scraping, Web Search, Internet Research, Web Scraping, Data Collection and Data Management. For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. Thanks for giving opportunity

@PINESCRIPTERR

Hi, I can support the respondent-sourcing workflow across multiple research projects, focusing on accuracy, verification, structured data, and privacy compliance rather than simply collecting large volumes of contacts. I can research relevant public communities and networks, build clearly separated general-public and undergraduate pools, validate contactability, record the source/reference for each record, and deliver a clean CSV/Google Sheet with the required fields. I can also use Python with requests/BeautifulSoup, Scrapy, or Selenium where appropriate, while respecting site terms, robots rules, rate limits, and avoiding captcha bypass or non-consensual harvesting. For 1,000 participants, my bid would be $250, subject to the required targeting and verification criteria. Question 1: Which countries/regions and demographic criteria should the 1,000 participants represent, and what age range is required? Question 2: Do you require participants to have explicitly opted in to research invitations, or do you already have approved sources/communities where recruitment and contact collection are permitted? Regards, Houssame.

@OutsourceMan

Hi, CnEL India can support participant sourcing and structured web research using a compliant, quality-focused workflow. Our methodology: * Define the required participant criteria and acceptable public sources. * Identify publicly accessible communities, directories, forums and student networks relevant to each study. * Collect only data that is publicly available and permitted for this type of research. * Use Python with appropriate scraping/parsing methods where automation is allowed. * Avoid bypassing CAPTCHAs, access controls or platform restrictions. * Normalize and deduplicate records before delivery. * Separate general-public and undergraduate participant pools. * Capture permitted contact information, source URL and relevant non-sensitive attributes where publicly available. * Add validation checks to identify incomplete, malformed or unverifiable records. * Maintain a clean CSV/Google Sheet structure with source references for auditing. * Perform sample-quality checks before scaling the collection. * Keep the workflow reusable so future survey campaigns can follow the same process. We can first run a small sourcing sample to validate the permitted sources, data fields and quality criteria, then scale toward the 1,000-participant requirement.

@muneeb6767

I can source and organize 1,000 research respondents using Python, BeautifulSoup/Scrapy/Selenium and permitted public sources, with deduplication, email/handle validation, demographic fields, and a source URL for every record. I’ll keep general-public and undergraduate pools clearly separated and flag unverifiable or non-compliant records rather than adding low-quality contacts. For 1,000 records, my bid is $140, with the exact sourcing criteria confirmed before collection.

@HamparProd

I would treat this as a data-quality project rather than scrape the largest possible list. For each record I would capture: contact → source URL → audience type → available self-disclosed demographics → validation/provenance I would separate general-public and undergraduate records, deduplicate across sources, validate email/handle formats, and keep the original source for every contact. I would only use publicly accessible/permitted sources and self-disclosed demographic information. I would not bypass CAPTCHAs, login barriers, private groups, or platform protections. The first batch would be delivered early for quality review so source types and inclusion rules can be adjusted before completing all 1,000. One important distinction: this price covers sourcing verified candidate contacts suitable for outreach, not guaranteeing that 1,000 people have already consented to or completed the survey.

@sumbali

UNDER YOUR BUDGET AND TERMS AND CONDITIONS As a seasoned Data Analyst and Statistician, my skill set aligns perfectly with the project you outlined. I have extensive experience in utilizing Python to scrape and analyze complex datasets, ensuring accuracy and efficiency with every deliverable. My proficiency extends beyond Python though; I'm comfortable working with various statistical and analytical tools like SPSS, SAS, STATA, R, and more. This wide-ranging knowledge will prove crucial in identifying and segmenting the precise pool of participants you need - the general public as well as undergraduates. In addition to web scraping, my skills also enable me to enrich each pool with relevant demographic information, thereby allowing you to filter results based on parameters like age range, location, and education level. In respect to your data security requirements as per GDPR/CCPA regulations, I assure you that I maintain an impeccable track record of privacy-compliant work.

@NIKITALILA

Hello There, We can support your ongoing research campaigns by sourcing and organizing verified participants from publicly available, appropriate sources, with separate lists for the general public and undergraduate students. Our team is experienced in online research, data collection, Excel/Google Sheets, lead verification, and source tracking. We can capture valid email/social contact details, available demographic information, and the corresponding source URL while prioritizing accuracy and privacy-compliant research practices. We typically work on an hourly basis. Our working hours are 9:30 AM–6:00 PM IST, Monday to Saturday. Phone calls are not included in our service scope. Hit me up and we can talk in detail Regards, Nikita and her team at Affiliazion (D)

@ganeshrasekar

I can do it

@TheSecondSource

Good day! We specialize in research support and participant recruitment, with a focus on accurate records, clear source tracking, and consent-based outreach for general-public and undergraduate studies. We’re a team of 62 professionals with 9+ years of experience. Here we can help with - * Set up opt-in recruitment through relevant communities and student networks * Organize consenting respondents by study group and voluntarily provided demographics * Deliver a clean CSV/Google Sheet with consent status, source references, and verification checks We can discuss a per-1,000-participant rate once the recruitment regions, eligibility criteria, and consent process are confirmed. What countries and age ranges should the campaigns cover?

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@larsenm2020

With my passion for problem-solving and a skill set tailored to your needs, I believe I am the ideal candidate for your project. Over the years, I have gained significant experience in data scraping using Python, Scrapy, BeautifulSoup, and Selenium. I understand how to avoid rate limits and captchas, which will ensure smooth and efficient scraping operations. My proficiency with these tools means that not only can I proficiently source contacts for your research campaigns, but also add valuable data to each record, like age range, location and education level as you've asked for. My diligence ensures accuracy in the records gathered, which will help you filter results quickly without compromising on authenticity. I truly appreciate your emphasis on compliance with GDPR/CCPA requirements; you can be confident in my ability to provide source URLs or references for every contact to uphold the highest data protection standards. Offering consistent support for multiple projects in a long-term partnership aligns perfectly with my work ethos. For sourcing 1,000 participants, my bid would be [insert amount here]. I'm excited about the prospect of working together for an extended period in order to maximize your research's potential – let's make an impactful difference together!

@ianb65

Hi there, You need accurate, verifiable pools of general-public and undergraduate survey participants, organised with consent-aware source references, demographic fields, and reliable digital invitation details. I have strong hands-on experience with Python and Research and have solved similar problems involving public-source data collection, record validation, and structured research datasets. My approach would be to: * Review the target audiences, geographic scope, eligibility rules, and required spreadsheet structure. * Identify the root cause of low-quality sourcing and determine what can be reused versus what needs to be changed. * Implement a clean, maintainable solution using Python, research workflows, and carefully selected public sources. * Test edge cases, reliability, duplicate handling, data accuracy, source traceability, and compliance considerations. * Deliver and integrate the validated general-public and undergraduate datasets without disrupting your campaign process. A key quality control measure is separating publicly discoverable contact details from confirmed opt-in respondents; only consent-appropriate records should enter invitation workflows, with source URLs retained for auditability. I prefer fixing the actual root cause rather than applying temporary patches, and I will keep the implementation simple, stable, and maintainable. I can start by reviewing the campaign criteria, source boundaries, and spreadsheet format, then proceed with the most