Data Scraper & Lead Generation Specialist
Budget: $15 – $25 USD
Job Description:
We are looking for a skilled Data Scraper & Lead Generation Specialist to join our team on a contract basis to extract high-quality data from various online sources and build automated systems to support our lead generation efforts.
The ideal candidate will have experience in Python, web scraping, and data analysis.
Job Duration Expected is 3 Weeks
Responsibilities:
Develop and maintain web scraping scripts to gather data from various online sources (e.g., Google My Business, Yelp, Zillow).
Clean, process, and structure data using Python libraries like Pandas.
Integrate scraped data into Google Sheets or Excel for further analysis and reporting.
Ensure data accuracy and integrity while implementing anti-bot measures (e.g., proxies, CAPTCHA handling).
Continuously optimize scraping processes to improve efficiency and scalability.
Collaborate with our team to understand project requirements and deliver results in a timely manner.
Requirements:
Proven experience with web scraping using tools such as BeautifulSoup, Scrapy, or Selenium.
Proficiency in Python for data extraction, cleaning, and automation.
Familiarity with data management tools like Pandas, Google Sheets API, and Excel.
Strong understanding of using proxies and anti-bot techniques.
Preferred Qualifications (Bonus):
Familiarity with machine learning tools like scikit-learn or TensorFlow.
Previous experience in lead generation or working with SaaS projects.
Why Join Us? The job is clearly outlined, including the websites you'll scrape and inputs.
It's a remote work environment and an opportunity to work on innovative projects in the lead generation space with potential for long-term collaboration.
How to Apply:
Please send your resume, portfolio, and any relevant project samples, your cover letter, and briefly explain your experience with web scraping and why you're the perfect fit for this role.
The output data should be provided in CSV format. The data scraping and lead generation tasks are expected to be performed daily. The focus will be on extracting B2B leads from the specified sources. The focus will include extracting detailed information such as job titles, company size, and social media profiles.
We are looking for a skilled Data Scraper & Lead Generation Specialist to join our team on a contract basis to extract high-quality data from various online sources and build automated systems to support our lead generation efforts.
The ideal candidate will have experience in Python, web scraping, and data analysis.
Job Duration Expected is 3 Weeks
Responsibilities:
Develop and maintain web scraping scripts to gather data from various online sources (e.g., Google My Business, Yelp, Zillow).
Clean, process, and structure data using Python libraries like Pandas.
Integrate scraped data into Google Sheets or Excel for further analysis and reporting.
Ensure data accuracy and integrity while implementing anti-bot measures (e.g., proxies, CAPTCHA handling).
Continuously optimize scraping processes to improve efficiency and scalability.
Collaborate with our team to understand project requirements and deliver results in a timely manner.
Requirements:
Proven experience with web scraping using tools such as BeautifulSoup, Scrapy, or Selenium.
Proficiency in Python for data extraction, cleaning, and automation.
Familiarity with data management tools like Pandas, Google Sheets API, and Excel.
Strong understanding of using proxies and anti-bot techniques.
Preferred Qualifications (Bonus):
Familiarity with machine learning tools like scikit-learn or TensorFlow.
Previous experience in lead generation or working with SaaS projects.
Why Join Us? The job is clearly outlined, including the websites you'll scrape and inputs.
It's a remote work environment and an opportunity to work on innovative projects in the lead generation space with potential for long-term collaboration.
How to Apply:
Please send your resume, portfolio, and any relevant project samples, your cover letter, and briefly explain your experience with web scraping and why you're the perfect fit for this role.
The output data should be provided in CSV format. The data scraping and lead generation tasks are expected to be performed daily. The focus will be on extracting B2B leads from the specified sources. The focus will include extracting detailed information such as job titles, company size, and social media profiles.