Social Media Data Scraping Specialist Brand Threat Analytics

2.0 - 3.0 years

6 - 8 Lacs

Noida

Work from Office

About Us: LdotR is an online brand protection service company, offering businesses the right solution and services to protect, manage and benefit from their digital assets in the online space. We work across all digital platforms - Domains, Website, Social Media, Online Marketplaces, and App Stores to identify, assess and nullify brand infringements. About the Role: We are looking for an experienced Data Scraping Specialist to help us extract and structure data from leading social media platforms at scale. The ideal candidate will have hands-on expertise with scraping tools, APIs, and large-scale data processing. Key Responsibilities: Design and develop custom scraping solutions to extract public data from platforms like Instagram, Facebook, X (Twitter), LinkedIn, YouTube, etc. Handle large-scale scraping tasks with efficiency and resilience against rate-limiting and platform-specific restrictions. Clean, normalize, and structure the scraped data for analysis or downstream applications. Maintain scraping scripts to adapt to frequent platform changes. Ensure compliance with data protection policies and terms of service. Required Skills: Proficiency in Python and scraping libraries (e.g., Scrapy, BeautifulSoup, Selenium, Playwright). Experience with API integration (official or unofficial social media APIs). Familiarity with rotating proxies, headless browsers, and CAPTCHA-solving techniques. Strong understanding of data structuring formats like JSON, CSV, and databases (MongoDB, PostgreSQL, etc.). Experience with cloud-based scraping and storage solutions (AWS/GCP preferred). Good to Have: Knowledge of NLP or data analytics for social media sentiment or trend analysis. Understanding of GDPR and CCPA compliance. Prior work with third-party scraping platforms or browser automation tools. What We Offer: Opportunity to work on impactful, large-scale data projects. Flexible work arrangements. Competitive compensation based on experience and delivery.

Posted 3 weeks ago

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