43 Data Scraping Jobs - Page 2

Senior Engineer-NLP: Elevate Your Impact Through learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all. A bout Innovation and Technology Centre (ITC) Our Innovation and Technology Centre specializes in creating modular solutions to meet clients' specific needs. As a member of the team, you will have the opportunity to develop and implement digital products, platforms, and tools specifically designed for research, analytics, and data management domains. We are at the forefront of technological advancements, and our AI efforts rely on our larger platform called AI for Research and Analytics (AIRA). What you will be doing at Evalueserve Building and implementing advanced machine learning (ML) and deep learning (DL) algorithms and models Applying different natural language processing (NLP) techniques to problems such as text classification, text summarization, questions and answers, information retrieval, knowledge extraction, and design of conversational bots by using traditional and generative AI techniques Contributing to the design and development of enterprise-grade generative AI applications, including but not limited to advanced RAG, VDB optimization, LLM evaluation, and finetuning Designing and developing a practical and analytical approach while maintaining a focus on aspects such as data quality and availability, feasibility, scalability, and turnaround time What were Looking for At least a bachelors /master`s degree in computer science, information systems, statistics, mathematics, or a related field Strong understanding of data science processes, such as data investigation, cleaning, minimal viable models, and nuances related to the deployment and enhancement About 38 years of experience in NLP, ML, and DL More than one year of experience in generative AI application development at the production level Demonstrated ability in developing NLP / ML / DL / generative AI project solutions here Hands-on experience and deep theoretical expertise in NLU, NLP, NLG, and common NLP algorithms and DL architectures such as Transformers, BERT, word2vec, FastText, and ELMO Hands-on experience in building and handling product-level delivery of knowledge graphs, ranking algorithms, recommendation engines, etc In-depth knowledge and experience in handling open-source frameworks, such as TensorFlow, PyTorch, and Huggingface Transformers Expert-level programming experience in Python / C++ Familiarity with general software design concepts, product development lifecycles, and ML model deployment best practices Experience in analyzing large amounts of user-generated content and process data in large-scale environments by using cloud infrastructure Proficiency in scraping data from external sources and developing architectures to store and organize the information for generating insights Experience in contributing to open-source software projects Experience and tenacity to go beyond available tools / techniques to design solutions in line with product requirements Ability to communicate with internal and external stakeholders and convey complex information clearly and concisely Understanding of the cultural differences and work styles in a global environment Want to learn more about our culture and what its like to work with us? Write to us at: careers@evalueserve.com Disclaimer: The following job description serves as an informative referencefor the tasks you may be required to perform. However, it does not constitutean integral component of your employment agreement and is subject to periodicmodifications to align with evolving circumstances.

HEAD FIELD SOLUTIONS PVT LTD. Job Description Email Marketing Required Skills: Candidate should minimum have 100-400 email ids Candidate should have experience in particular industry (Example:-Staffing. Healthcare) 0-10 years experience in the email marketing profile Candidate should be comfortable working with target based Job(Lead generation) We work on domain leads We work for only US Clients Required Candidate Profile: Ability to work in a team and with different personalities. Ability to work under pressure and to strict deadlines Proactive Benefits: Employee friendly Corporate Work culture Excellent Salary structure Timings are fixed (9:00 AM to 6:00 PM) with Saturday and Sunday Off. Best in class infrastructure In-House Meals are available(Lunch and Tea) Strong recognition for our employees, giving them excellent career path. Company Website links: www.headfield.com www.glocalrpo.com

Build and run scripts to scrape emails, phone numbers, and business data, clean and organize it, analyze insights using Python/Excel, automate workflows, and support lead generation for import-export operations.

Responsibilities:As a Data Engineer focused on web crawling and platform data acquisition, you will design, develop, and maintain large-scale web scraping pipelines to extract valuable platform data. Annual bonus Health insurance Provident fund

Hi, We are seeking a detail-oriented and analytical Data Scrapper to join our team. In this role, you will collect, process, and analyze data to help inform business decisions, uncover trends, and identify opportunities for growth and optimization. CANDIDATE BASED OUT OF NOIDA CAN ONLY APPLY Key Responsibilities: Collect and clean data from various sources to ensure accuracy and consistency Analyze complex datasets to identify trends, patterns, and insights Develop dashboards and reports using tools like Tableau, Power BI, or Excel Collaborate with cross-functional teams (product, marketing, operations, etc.) to understand data needs and provide actionable insights Create and maintain documentation for data models, processes, and reports Assist in A/B testing and other statistical analysis to support business decisions Monitor performance metrics and make recommendations for improvements

We're seeking a sharp Sales Executive with experience in Digital Marketing Agency (1-2 years) to turn leads into loyal clients. Master outreach, data scraping, and end-to-end sales in a fast-paced, growth-focused agency.

Role & responsibilities 1. Cold Calling 2.Communication Skill 3. Should know Automation tools. 4. Should know sales navigator tools. 5. Data scraping tools ( Apollo, Lusha) Preferred candidate profile Who has experience in IT Sales .

About the Role We re looking for a Lead Researcher/Lead Generation Specialist to join our sales team. Your main job will be to find and organize potential leads, ensuring our sales team always has great opportunities to pursue. If you enjoy researching, working with data, and helping teams succeed, this role is for you! What You will Do 1. Research and Find Leads Look for potential customers using online tools like LinkedIn, Google, and other lead generation platforms. Collect important information, such as company name, contact person, email, phone number, and more. 2. Organize Lead Information Keep all lead details accurate and well-organized in databases or spreadsheets. Regularly update and check the information to make sure it is correct. 3. Qualify Leads Check if the leads match our ideal customer profile. Rank leads based on their potential to work with us, so the sales team can focus on the best opportunities. 4. Work with the Sales Team Share your findings with the sales team to help them target the right customers. Understand the team needs and adjust your research accordingly. 5. Use Tools and Technology Use tools like Excel, Google Sheets, and CRM software (e.g., HubSpot, Salesforce) to make your work easier. Learn and use new tools to improve the lead generation process. 6. Track and Report Progress Keep track of how many leads you have found and how well they are performing. Share reports and suggest ways to improve lead generation efforts. What We are Looking For Someone who loves researching and working with data. Basic knowledge of tools like LinkedIn, Excel, and CRMs (e.g., HubSpot, Salesforce). Organized, detail-oriented, and able to manage multiple tasks. Strong communication skills and a team player. Bonus: Experience with B2B sales or lead generation. Bottom of Form

1. Data Scraping 2. Advanced Excel 3. Communicating with clients, understanding project requirements, and providing training to the team accordingly. 4. Strong communication skills (English) in both written and verbal 5. Provident fund Annual bonus

Data scraping from the mentioned property in the case ETL knowledge will be added advantage Basic knowledge of photoshop Good knowledge of excel Basic understanding of computers Browsing knowledge. Good communication skills

Python Developer Location: Sector-1, Noida (Work from Office) Experience: Minimum 3 years Education: B.E./B.Tech Primary Role: Responsible for performing web scraping and crawling to extract and structure data from various websites. Handle data cleaning, transformation, and storage in structured formats. Write efficient and scalable Python scripts to manage high-volume data extraction tasks. Monitor and manage log files using automation scripts. Key Skills: Proficiency in Python with hands-on experience in web scraping and crawling . Strong working knowledge of BeautifulSoup , Selenium , NumPy , Pandas , and Pytest . Good understanding of JavaScript , HTML , and SQL (preferably MS SQL ). Experience with MongoDB is an added advantage. Ability to integrate multiple data sources and databases into a single pipeline. Solid understanding of: Python threading and multiprocessing Event-driven programming Scalable and modular application design Preferred Skills: Practical experience in writing and maintaining web crawlers and scrapers . Familiarity with anti-bot mechanisms and techniques to bypass them responsibly. Exposure to handling large datasets and ensuring data accuracy and completeness. Experience with automated testing using Pytest .

What we are looking for The ideal candidate will possess hands-on expertise in designing and deploying advanced web scraping solutions, leveraging Node.js and other technologies. A significant focus will be on overcoming bot detection challenges, building scalable and resilient scraping systems, and ensuring the efficiency and scalability of data acquisition pipelines. This is a highly technical, hands-on role ideal for someone passionate about solving complex scraping and infrastructure challenges. Things you will be doing Advanced Web Scraping: Develop and maintain high-performance scraping systems using Node.js, Python, or other relevant technologies. Handle JavaScript-heavy and asynchronous content using tools like Puppeteer, Playwright, or custom solutions in Node.js. Implement advanced bot detection bypass techniques, including: CAPTCHA solving using automation, AI/ML, or third-party services. Advanced proxy management and IP rotation strategies. User-agent, cookie, and header spoofing. Build robust error-handling mechanisms to adapt to changes in website structures or anti-scraping measures. Bot Detection and Anti-Scraping Expertise: Analyze and reverse-engineer advanced bot detection systems and anti-scraping mechanisms, including rate-limiting, behavioral analysis, and fingerprinting. Design and implement techniques to bypass WAFs (Web Application Firewalls) and server-side protections using Node.js libraries and tools. Monitor, log, and analyze bot detection patterns to ensure system adaptability. Create innovative solutions to blend scraping traffic with legitimate user behavior. Infrastructure and Networking: Architect and maintain scalable infrastructure using containerization tools like Docker and orchestration platforms such as Kubernetes. Leverage cloud platforms (AWS, GCP, Azure) for distributed scraping and data acquisition. Utilize Node.js and related tools to optimize network configurations for high-throughput scraping, including proxy and load balancer configurations. Automate deployment and scaling of scraping systems using CI/CD pipelines. Performance and Optimization: Ensure optimal performance of scraping systems by reducing latency and optimizing resource utilization. Develop robust monitoring and logging systems to track and troubleshoot issues in real time. Optimize pipelines for scalability, fault tolerance, and high availability. Compliance and Security: Ensure adherence to legal, ethical, and regulatory standards (e.g., GDPR, CCPA) for all scraping activities. Safeguard data acquisition systems from detection, blocking, and external threats. Respect website terms of service while implementing efficient scraping solutions. Skills you need in order to succeed in this role Technical Skills: 3+ years of hands-on experience in web scraping or data engineering. Expertise in Node.js for building and optimizing scraping systems. Deep expertise in handling advanced bot detection systems and anti-scraping mechanisms. Strong knowledge of programming languages such as Python and JavaScript. Advanced understanding of networking concepts, including HTTP/HTTPS protocols, WebSockets, DNS, and API integrations. Experience with containerization tools (Docker) and orchestration platforms (Kubernetes). Proficiency in cloud platforms (AWS, GCP, Azure) for scalable data acquisition pipelines. Familiarity with tools like Puppeteer, Playwright, Scrapy, or Selenium. Problem-Solving Expertise: Proven ability to reverse-engineer anti-bot measures such as CAPTCHA, IP blocks, and fingerprinting. Strong debugging and optimization skills for network and scraping pipelines.

Data scraping from the mentioned property in the case ETL knowledge will be added advantage Basic knowledge of photoshop Good knowledge of excel Basic understanding of computers Browsing knowledge. Good communication skills

Data scraping from the mentioned property in the case ETL knowledge will be added advantage Basic knowledge of photoshop Good knowledge of excel Basic understanding of computers Browsing knowledge. Good communication skills Required Candidate profile FRESHER CAN APPLY

Responsibilities: * Manage data, execute email campaigns, scrap leads, oversee social media presence, generate online leads through mass mailings & social media for international clients. Data extraction, Instagram posting & linkedin postings.

Shift Timing: 02:00 PM - 11:00 PM / 04:00 PM - 01:00 AM. Working Days : 6 (Monday - Saturday) Roles & Responsibility: - Prospecting, generating, qualifying, processing, and following up on leads and conducting research to identify potential prospects, Industry trends and competitor activities. Contact Generation, Data Scraping, Validation and Data Management Collaboratively work with the marketing team to develop lead generation strategies to generate lead opportunities with prospective customers Initiating lead/demand generation strategies that include inbound/outbound sales and marketing campaigns and initiatives Maintain consistent, concise, and accurate internal and external communications Providing consistent, concise, accurate and timely weekly/monthly sales lead gen activity reports to management Track key social media metrics and provide regular reports on the performance of social engagement efforts, offering insights and recommendations for improvement Build applicant sources by researching and contacting community services, colleges, media, and internet sites; providing organization information, opportunities, and benefits; making presentations; and maintaining rapport Demonstrating a commitment to the technology industry and staying educated on the new regulations, changes, innovations, and trends Achieving sales lead gen and appointment quotas; maintaining strong MIS of all leads and accounts Work closely with cross-functional teams to align with overall business objectives and contribute to the achievement. Qualifications & Skills: - 2+ years of strong experience in a lead generation role for the US/UK market; preferably into higher ed tech/ eLearning industry Extensive knowledge of Data research and mining Proven track record of exceeding Pre-Sales/Lead Generation target Ability to self-motivate, multi-task and work independently or within a team. Must have excellent skills on excel Strong experience using technology tools to support Lead generation Show a proven track record achieving sales lead gen and appointment quotas Ability to multi-task daily projects and commitments and employ structured selling methods Proficient in MS Office products (Excel, Word, MS Outlook, MS PowerPoint)-Experience with CRM Software

Designation - Data Analyst Employment Type: Full-time / Contract Reports To: Operations Manager / CEO About Us Webindia is a performance-driven digital marketing agency working with clients across multiple industries. Data is at the heart of everything we do from campaign tracking to ROI reporting. We are looking for a Data Analyst who can manage, process, and visualize data to drive informed business and marketing decisions. Key Responsibilities Data Collection & Extraction: - Perform data scraping from websites, APIs, and other sources. - Use third-party data extraction tools for gathering structured and unstructured data. - Automate data pulls from various platforms (Google Ads, Facebook Ads, CRM, etc.). Data Processing & ETL: - Design and maintain ETL workflows to extract, transform, and load data from multiple sources. - Clean, normalize, and validate datasets for accuracy and completeness. - Manage and update data pipelines for marketing analytics. Automation & Integration: - Create workflows using Zapier, n8n, and Make (Integromat) to automate data movement and reporting. - Build integrations between ad platforms, CRM (Zoho One), Google Sheets, and BI tools. Zoho One Expertise: - Manage data within Zoho CRM, Zoho Analytics, Zoho Creator, and other Zoho One applications. - Create custom reports and dashboards in Zoho Analytics. - Support marketing teams with CRM-based data segmentation for campaigns. Data Analysis & Reporting: - Analyze marketing and business data to provide actionable insights. - Create dashboards and visualizations in Business Intelligence tools (e.g., Zoho Analytics, Power BI, Google Data Studio/Looker). - Present findings to the marketing and operations teams with clear recommendations. Required Skills & Experience Proven experience as a Data Analyst, Data Engineer, or similar role in a marketing agency or tech environment. Strong skills in data scraping (BeautifulSoup, Scrapy, or equivalent tools). Hands-on experience with ETL tools and processes. Experience with third-party data extraction tools (e.g., Phantombuster, Octoparse, Apify). Advanced workflow automation skills in Zapier, n8n, and Make. Deep knowledge of Zoho One ecosystem (Zoho CRM, Analytics, Creator, Flow). Proficiency in SQL and basic scripting (Python preferred) for data manipulation. Experience with BI tools (Zoho Analytics, Power BI, Looker Studio). Strong problem-solving skills and ability to work independently. Preferred Qualifications Prior experience in a digital marketing agency setting. Familiarity with ad platform APIs (Google Ads, Meta Ads, LinkedIn Ads). Understanding of marketing metrics (CPL, ROAS, CTR, Conversion Rate, etc.). Tools & Platforms Youll Work With Zoho One Suite (CRM, Analytics, Creator, Flow) Zapier, n8n, Make (Integromat) Google Sheets, Excel, SQL Databases Data scraping tools (BeautifulSoup, Scrapy, Octoparse, Apify, Phantombuster) BI Tools (Zoho Analytics, Power BI, Looker Studio) Preferred Skills: Basic knowledge of WordPress or content management systems. Familiarity with Google Analytics and keyword research tools. Creative storytelling and content structuring ability. Knowledge of current digital marketing trends. Perks 5 Days Working Bi-weekly events Paid sick leaves Casual leaves & CL encashment Employee performance rewards Friendly work culture Medical Insurance Company Details https://www.webindiainc.com/

Python Developer Data Scraping, MongoDB, Solr / ElasticSearch We are seeking a skilled Python Developer with strong experience in web/data scraping and working knowledge of MongoDB, Solr, and/or ElasticSearch. You will be responsible for developing, maintaining, and optimizing scalable scraping scripts to collect structured and unstructured data, efficiently manage it in MongoDB, and index it for search and retrieval using Solr or ElasticSearch. Key Responsibilities: Design and develop robust web scraping solutions using Python (e.g., Scrapy, BeautifulSoup, Selenium, etc.). Extract and process large volumes of data from websites, APIs, and other digital sources. Ensure scraping mechanisms are efficient, resilient to site changes, and compliant with best practices. Store, retrieve, and manage scraped data efficiently in MongoDB databases. Index, manage, and optimize data search capabilities using Solr or ElasticSearch. Build data validation, cleaning, and transformation pipelines. Handle challenges like CAPTCHA solving, IP blocking, and dynamic content rendering. Monitor scraping jobs and troubleshoot errors and bottlenecks. Optimize scraping speed, search indexing, storage efficiency, and system scalability. Collaborate with product managers to define data requirements. Required Skills and Qualifications: 3+ years of experience with Python, specifically in web scraping projects. Proficient in scraping libraries such as Scrapy, BeautifulSoup, Requests, Selenium, or similar. Hands-on experience with MongoDB (querying, indexing, schema design for unstructured/structured data). Strong experience with Solr or ElasticSearch for data indexing, search optimization, and querying. Good understanding of HTML, CSS, XPath, and JSON. Experience handling anti-scraping mechanisms like IP rotation, proxy usage, and headless browsers. Familiarity with RESTful APIs and parsing data formats like JSON, XML, CSV. Strong problem-solving skills and attention to detail. Good written and verbal communication skills.