data scraper

Lime Software Logics (SMC-PVT) Limited

Job Title: Data Scraper/ AutomationJob Type: Full-TimeJob Timings: 7 PM to 4 AM (Mon to Fri)Job Location: Business Center, Main Shahra-e-Faisal, Near Nursery, KarachiSalary Range: 60K to 100KJob Overview: We are looking for a skilled Lead Scraper / Automation Specialist to design and manage automated workflows for bulk lead collection across multiple online sources. This role focuses on building reliable scraping and automation systems, ensuring data accuracy, and delivering clean, segmented lead databases ready for outbound campaigns and CRM integration. The ideal candidate is highly technical, detail-oriented, and comfortable working independently on large-scale data extraction tasks.Key Responsibilities:<ul><li>Develop and run automated scraping workflows to collect leads in bulk from websites, directories, LinkedIn, and other online platforms.</li><li>Build custom scripts and automation tools to extract emails, phone numbers, and business contact information at scale.</li><li>Ensure data quality and validation at scale to deliver actionable lead lists.</li><li>Segment leads based on industry, location, company size, role, or other criteria for targeted outreach.</li><li>Maintain structured lead databases ready for integration into CRMs and outreach tools.</li><li>Continuously optimize automation workflows for speed, accuracy, and reliability.</li></ul>Requirements:<ul><li>Proven experience in automated bulk lead scraping and data extraction.</li><li>Hands-on experience with Python, Selenium, BeautifulSoup, Phantombuster, or similar automation tools.</li><li>Strong ability to extract emails, phone numbers, and contact info from multiple sources at scale.</li><li>Experience with data validation, cleaning, and enrichment for large datasets.</li><li>Self-driven and capable of working independently with minimal supervision.</li><li>Strong problem-solving skills and attention to detail in automation workflows.</li></ul>Nice to Have:<ul><li>Ability to also collect social media profiles for enriched lead data.</li><li>Familiarity with API integrations to automate syncing scraped leads to CRMs.</li><li>Previous experience supporting B2B and B2C outbound campaigns at scale.</li></ul>Pay: Rs60,000.00 - Rs100,000.00 per monthApplication Question(s):<ul><li>Are you able to manage the night shift ?</li><li>Your current salary?</li><li>Do you have experience of Python, Selenium, BeautifulSoup, Phantombuster, or similar automation tools.</li></ul>Work Location: In person

Data Scraper/ Automation

Code Graphers

Job Overview We are looking for an experienced Data Extractor to support our outbound sales and marketing campaigns by collecting high-quality business data. The role focuses on finding, extracting, verifying, and organizing targeted leads from various online sources. The ideal candidate should have hands-on experience in data scraping, lead generation, data verification, and working with sales teams to deliver accurate and scalable lead lists.Key Responsibilities<ul><li>Extract targeted business and contact data from online sources such as directories, LinkedIn, company websites, and databases</li><li>Build and maintain large lead lists for cold email campaigns</li><li>Verify email addresses using verification tools to ensure high deliverability</li><li>Clean, format, and organize data in spreadsheets or CRM systems</li><li>Research companies and decision-makers based on defined targeting criteria</li><li>Work closely with the sales and marketing team to meet daily and weekly data targets</li><li>Ensure data accuracy, relevance, and compliance with data standards</li><li>Continuously identify new sources for lead generation</li></ul>Required Skills Experience with data extraction and lead generation Strong internet research and data mining skills Experience using email verification tools Ability to handle large datasets efficiently Good attention to detail and data accuracy Basic understanding of B2B sales and cold email campaigns<ul><li>Proficiency in Microsoft Excel or Google Sheets</li><li>Ability to meet daily data production targets</li></ul>Tools &amp; Platforms (Preferred Experience)<ul><li>LinkedIn / Sales Navigator</li><li>Apollo or similar lead generation platforms</li><li>Email verification tools (e.g., NeverBounce, ZeroBounce, MillionVerifier)</li><li>Google Sheets / Excel</li><li>Web scraping tools or browser extensions</li><li>CRM systems (basic knowledge)</li></ul>Experience Requirements<ul><li>1.5 to 2 years of experience in data extraction, lead generation, or web research</li><li>Experience supporting cold email or outbound sales campaigns is preferred</li><li>Proven ability to generate large volumes of accurate lead data</li></ul>Performance Expectations<ul><li>Generate 3,000 &ndash; 6,000 verified leads per day depending on campaign requirements</li><li>Maintain high data accuracy and low bounce rates</li><li>Deliver data on time to support daily email sending targets</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you familiar with Lead Generation Tools?</li></ul>Experience:<ul><li>Web Scraper / Data Extraction: 2 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: In person

Web Scraper / Data Extraction Specialist

Xinix

We are looking for a skilled Data Scraping and Lead Generation Specialist (2+ years) to build high-quality B2B lead databases and generate qualified meetings for product and service-based businesses. The role focuses on identifying Ideal Customer Profiles (ICP), extracting verified decision-maker data, and supporting outbound sales efforts through accurate and structured lead lists.The ideal candidate is experienced in using modern scraping tools, LinkedIn prospecting platforms, and data enrichment tools to deliver clean, targeted, and conversion-ready leads.Key Responsibilities:1. Lead Research &amp; ICP Selection2. Data Scraping &amp; Lead Extraction3. Data Enrichment &amp; Verification4. Outreach Support &amp; Meeting Generation5. Communication &amp; Relationship Understanding6. Tools &amp; Platforms Used:LinkedIn Sales Navigator- Lead discovery and targetingInstant Data Scraper- Web data extractionScrupp.io- LinkedIn data scrapingApollo.io - Lead enrichment and verificationSnov.io- Email extraction and validationHubSpot - Lead management and pipeline trackingRequired Skills &amp; Experience:- Experience in B2B lead generation, data scraping, or sales intelligence- Strong expertise with LinkedIn Sales Navigator and scraping tools- Ability to build ICP-based targeted lead lists- Understanding of email enrichment and verification workflows- Strong attention to detail and data accuracy- Good communication skills for understanding client requirements- Experience in SaaS, agencies, or B2B services is a plusNice to Have:- Experience working with cold email campaigns or outbound sales teams- Knowledge of automation tools and lead workflow systems- Experience in booking B2B meetings through outbound campaigns- Familiarity with CRM systems and sales pipelinesExperience:2-2.5 YearsPay: Up to Rs80,000.00 per monthWork Location: In person

B2B Data Scraping & Lead Generation Specialist

Naelaesthetics

Job description:We are looking for a detail-oriented and proactive B2C Lead Generation &amp; Data Scraper Executive to support our International solar sales campaigns. The ideal candidate will be responsible for collecting, organizing, and qualifying high-quality consumer data to generate potential leads for our solar solutions team.Key Responsibilities:<ul><li>Scrape and extract verified B2C data from relevant online sources (directories, platforms, and tools) focused on the US market</li><li>Build and maintain clean, structured lead databases for solar campaigns</li><li>Identify and qualify potential residential customers interested in solar energy solutions</li><li>Ensure accuracy, relevance, and freshness of collected data</li><li>Support sales team by providing segmented and targeted lead lists</li><li>Use advanced search techniques and tools to improve lead quality and conversion potential</li><li>Regularly update CRM or internal tracking sheets with organized data</li><li>Work closely with marketing and sales teams to understand lead requirements</li></ul>Required Skills &amp; Qualifications:<ul><li>Proven experience in data scraping, lead generation, or similar role (International market preferred)</li><li>Strong understanding of B2C data sources and online research techniques</li><li>Familiarity with tools like LinkedIn, Apollo, ZoomInfo, or similar (preferred)</li><li>Basic knowledge of CRM systems and Excel/Google Sheets</li><li>High attention to detail and data accuracy</li><li>Ability to work independently and meet daily/weekly data targets</li><li>Understanding of solar industry or renewable energy sector is a plus</li></ul>Preferred Attributes:<ul><li>Analytical mindset with problem-solving ability</li><li>Fast learner with strong internet research skills</li><li>Experience working in US-based campaigns or night shift environments</li><li>Strong communication and reporting discipline</li></ul>We Offer:<ul><li>Competitive salary package</li><li>Performance-based increment</li><li>Opportunity to work on International solar campaigns</li><li>Growth in data, marketing, and sales intelligence domain</li><li>Professional and fast-paced working environment</li></ul>Shift Timings: 6pm to 3am (Monday-Friday)Location: Township College Road, LhrJob Type: Full Time/ OnsiteJob Type: Full-timePay: Rs60,000.00 - Rs80,000.00 per monthWork Location: In person

B2C Lead Generation Specialist – International Solar Market

Asesora International

Important &mdash; Read Before ApplyingThis is NOT a beginner role. If you have not built real pipelines using Airflow, processed text with NLP, or scraped data at scale, do not apply.You are expected to deliver production-level work from week 1.Required Experience (Mandatory)You will be automatically rejected if you do not have:<ul><li>At least 1 real project combining scraping + processing + storage</li><li>Hands-on experience with:</li><li>Apache Airflow (DAGs, scheduling, retries, dependencies)</li><li>Python (advanced level)</li><li>Scrapy (spiders, pipelines, middleware)</li><li>spaCy (NER, text preprocessing, custom pipelines)</li><li>SQL (advanced queries + optimization)</li><li>Strong understanding of:</li><li>Data pipelines (ETL/ELT)</li><li>Handling messy / unstructured data</li><li>Writing scalable, fault-tolerant scraping systems</li></ul>What You Will Do<ul><li>Build automated data pipelines using Airflow (DAG-based workflows)</li><li>Develop and maintain web scraping systems using Scrapy</li><li>Process and enrich text data using spaCy (NER, classification, cleaning)</li><li>Store and structure scraped data into usable formats (DB / warehouse)</li><li>Handle anti-bot challenges, rate limits, and scraping failures</li><li>Ensure pipelines are resilient, scheduled, and production-ready</li><li>Debug broken DAGs, failed jobs, and corrupted datasets</li></ul>Strict Performance Rules<ul><li>Zero hand-holding. You are expected to debug pipelines independently</li><li>Deadlines are absolute. Miss once &rarr; warning. Repeat &rarr; termination</li><li>Daily reporting required (actual outputs, logs, issues)</li><li>Pipelines must be:</li><li>Repeatable</li><li>Fault-tolerant</li><li>Scalable</li><li>&ldquo;It works on my machine&rdquo; is unacceptable</li></ul>Disqualification TriggersImmediate removal if:<ul><li>Your Airflow DAGs fail repeatedly and you can&rsquo;t fix them</li><li>Your scrapers get blocked and you don&rsquo;t adapt</li><li>You cannot explain your NLP pipeline (spaCy usage)</li><li>You build fragile pipelines that break on real data</li><li>You disappear or stop reporting</li></ul>Selection Process (Aggressive Filtering)<ul><li>GitHub Review (must include scraping + pipeline work)</li><li>Technical Task:</li><li>Build a scraper + process text + schedule via Airflow</li><li>Live Debugging Session (pipeline failure scenario)</li><li>Final acceptance</li></ul>Most applicants will fail before step 2.What You Get (If You Pass)<ul><li>Real-world experience in:</li><li>Data pipelines</li><li>NLP processing</li><li>Web scraping at scale</li><li>Strong portfolio with production-grade systems</li><li>Fast-track to a paid data engineering / NLP role</li><li>Experience working under real constraints and pressure</li></ul>Application RequirementsSubmit:<ul><li>GitHub with:</li><li>Scrapy project</li><li>Airflow DAGs</li><li>NLP / spaCy usage</li><li>Description of one pipeline you built (architecture + challenges)</li><li>Answer:</li></ul>&ldquo;How would you design a system to scrape, clean, and extract entities from thousands of web pages daily?&rdquo;Final NoteIf you haven&rsquo;t already worked with Airflow + scraping + NLP in real scenarios, this role will not work for you.Pay: E&pound;1,000.00 - E&pound;8,000.00 per monthApplication Question(s):<ul><li>Are you familiar with Airflow?</li><li>Are you familiar with Spacy?</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: Remote

Data Engineering Internship – Airflow, NLP & Web Scraping (Pre-Junior / Production-Ready Only)

Samuel, Son & Co.

<div>
 RESPONSIBILITIES:
 
 &bull; Read and interpret blueprints or welding process specification.
 
 &bull; Operate manual or semi-automatic welding equipment to fuse metal segments using processes such as gas metal arc (GMAW), flux-cored arc (FCAW), shielded metal arc (SMAW), oxy-acetylene (OAW).
 
 &bull; Operate manual or semi-automatic flame cutting equipment.
 
 &bull; Operate metal shaping machines such as brakes, shears and other metal straightening and bending machines.
 
 &bull; May cut metal plates or structural shapes. May be designated according to type of equipment used as Welder, Welder, Flux-Cored Arc (welding); Welder, Gas-Metal Arc (welding); Welder, Gas-Tungsten Arc (welding); Welder, Hand, Submerged Arc (welding); Welder, Plasma Arc (welding); Welder, Shielded-Metal Arc (welding).
 
 &bull; Observes tests on welded surfaces, such as hydrostatic, x-ray, and dimension tolerance to evaluate weld quality and conformance to specifications.
 
 &bull; Inspects grooves, angles, or gap allowances, using micrometer, caliper, and precision measuring instruments.
 
 &bull; Removes rough spots from work piece, using portable grinder, hand file, or scraper.
 
 &bull; Welds components in flat, vertical, or overhead positions.
 
 &bull; Determines required equipment and welding method, applying knowledge of metallurgy, geometry, and welding techniques.
 
 &bull; Notifies supervisor of any quality or safety issues.
 
 &bull; Maintains effective interpersonal working relationships and functions as a team member.
 
 &bull; Ensures proper care in the use and maintenance of equipment and supplies; promotes continuous improvement of workplace safety and environmental practices.
 
 &bull; Performs miscellaneous job-related duties as assigned.
 
 &bull; Works in other departments on an as-needed basis.
 
 &bull; Follow and comply with all safety and work rules and regulations. Maintain departmental housekeeping standards.
 
 &bull; Assist in training new employees in the safe and most efficient use of fabricating and welding methods.
 
 EQUIPMENT KNOWLEDGE:
 
 &bull; Must have a basic understanding of computers.
 
 &bull; Must have reading, writing and simple math skills.
 
 &bull; Must be able to read blueprints.
 
 ROLE REQUIREMENTS:
 
 &bull; High school diploma or GED with one year of trades training and at least one year of related experience; or a combination of education and experience.
 
 &bull; Ability to read and interpret documents such as bills of material, blueprints, safety rules, operating and maintenance instructions and procedure manuals.
 
 &bull; Ability to communicate effectively one-on-one with other employees of the organization.
 
 &bull; Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals.
 
 &bull; Ability to apply common sense understanding to carry out detailed but uninvolved written and oral instructions.
 
 &bull; Must possess good mechanical ability and the ability to perform basic calculations to operate welding and fabricating machines.
 
 &bull; Demonstrates ability to operate a welder, grinder, bandsaw, ironworker, overhead crane, torch, measuring devices and a variety of hand and power tools.
 
 &bull; Prior work record indicating dependability and conscientiousness.
 
 &bull; Must be willing to work in a team-oriented environment.
</div>

Welder A

W G Yates & Sons Construction

<div>Job Title: Asphalt Onsite Mechanic Operator
Location: Byram, MS
Summary: 
The Asphalt Onsite Mechanic operator specializes in repairing, maintaining, and troubleshooting heavy machinery used in asphalt production and paving, such as crushers, conveyors, burners, and mixers. They perform crucial preventive maintenance, welding, and electrical troubleshooting to minimize downtime, often working in fast-paced production environments.
Key Responsibilities:
<ul><li>Maintenance &amp; Repair: Diagnose and fix hydraulic, pneumatic, and electrical systems on asphalt plant equipment (dryers, drum mixers, baghouses).</li>
<li>Preventative Care: Perform routine inspections, lubricate parts, change belts, and replace bearings to prevent equipment failure.</li>
<li>Troubleshooting: Respond quickly to emergency breakdowns during production hours.</li>
<li>Equipment Operation: Safely operate heavy machinery, including loaders, forklifts, and manlifts.</li>
</ul>
Qualifications:
<ul><li>Must be at least 18 years of age.</li>
<li>2-4 years&rsquo; Experience preferred</li>
<li>Must be able to complete a pre-employment drug screen with a &ldquo;Negative&rdquo; result.</li>
<li>Must be able to complete a post- offer physical with a &ldquo;Capable&rdquo; result</li>
<li>Eligible to work in the United States</li>
<li>Be willing to work outdoors in extreme temperatures, both hot and cold
</li></ul>Working Conditions:
<ul><li>Ascend/Descend ladder 8-10 feet to access equipment operating station.</li>
<li>Keep equipment moving along specified path to ensure equipment is processing material to required specifications.</li>
<li>Remove excess built up material at the end of shift using scraper and shovel, periodically the operator may need to use jack or chipping hammers.</li>
<li>May perform other duties as assigned by Forman or Manager.</li>
</ul>
Work Environment:
This role operates in both office and active construction site environments. Candidate must be able to perform site walks, attend field meetings, and ensure on-site safety and compliance.
Yates Construction provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal and state law requirements.
Yates complies with applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities.
About Yates Construction
Ranked among the top commercial and industrial construction companies in the country by Engineering News-Record, Yates Construction is family-owned and provides a wide range of construction and building services. Incorporated in 1964 by William G. Yates Jr., we have steadily grown to become one of the top commercial and industrial construction companies in the nation. We are financially sound with a significant bonding capacity as well as vast personnel and equipment resources.
Our portfolio includes commercial and industrial projects from various sectors including arts and culture, civil, commercial, education, entertainment and gaming, federal, healthcare, hospitality, manufacturing, municipal, retail, and technology. We work hard to understand our clients&rsquo; business needs and continually look for opportunities to provide additional value to our clients and their projects.
Our client relationships are the foundation of our success, and our primary goal is to help each of our clients achieve their vision. We do this by carefully managing the details and complexities of each project and communicating constantly with all team members.
Yates Construction provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal and state law requirements.
Yates complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.</div>

Asphalt Onsite Mechanic Operator

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