Introducing Job Posting Datasets: Uncover labor market insights!

Elevate your recruitment strategies, forecast future labor industry trends, and unearth investment opportunities with Job Posting Datasets.

Job Posting Datasets Source:

1. Indeed: Access datasets from Indeed, a leading employment website known for its comprehensive job listings.

2. Glassdoor: Receive ready-to-use employee reviews, salary ranges, and job openings from Glassdoor.

3. StackShare: Access StackShare datasets to make data-driven technology decisions.

Job Posting Datasets provide meticulously acquired and parsed data, freeing you to focus on analysis. You'll receive clean, structured, ready-to-use job posting data, including job titles, company names, seniority levels, industries, locations, salaries, and employment types.

Choose your preferred dataset delivery options for convenience:

Receive datasets in various formats, including CSV, JSON, and more. Opt for storage solutions such as AWS S3, Google Cloud Storage, and more. Customize data delivery frequencies, whether one-time or per your agreed schedule.

Why Choose Oxylabs Job Posting Datasets:

1. Fresh and accurate data: Access clean and structured job posting datasets collected by our seasoned web scraping professionals, enabling you to dive into analysis.

2. Time and resource savings: Focus on data analysis and your core business objectives while we efficiently handle the data extraction process cost-effectively.

3. Customized solutions: Tailor our approach to your business needs, ensuring your goals are met.

4. Legal compliance: Partner with a trusted leader in ethical data collection. Oxylabs is a founding member of the Ethical Web Data Collection Initiative, aligning with GDPR and CCPA best practices.

Pricing Options:

Standard Datasets: choose from various ready-to-use datasets with standardized data schemas, priced from $1,000/month.

Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.

Experience a seamless journey with Oxylabs:

• Understanding your data needs: We work closely to understand your business nature and daily operations, defining your unique data requirements.
• Developing a customized solution: Our experts create a custom framework to extract public data using our in-house web scraping infrastructure.
• Delivering data sample: We provide a sample for your feedback on data quality and the entire delivery process.
• Continuous data delivery: We continuously collect public data and deliver custom datasets per the agreed frequency.

Effortlessly access fresh job posting data with Oxylabs Job Posting Datasets.

This dataset contains the up-to-date metadata on Work Zone feeds that meet the Work Zone Data Exchange (WZDx) specifications and is registered with USDOT ITS DataHub. The current work zone data from each feed can be accessed through their respective API links. Some links provide direct access, while others require a user to create their own API access key first. Please see the attached API Key Instructions document to learn how to sign up for API keys for the requisite feeds. The ITS Work Zone Sandbox, contains an archive of work zone data collected from each feed at a rate of at least every 15 minutes. This is not intended as a replacement for the work zone feeds and in many cases does not update as frequently as the feed does.

A database of 53,478 comments on work-related advantages and disadvantages from employees and former employees of 136 companies (with over 10,000 employees) during 2023.

United States US: Employment To Population Ratio: National Estimate: Aged 15-24 data was reported at 50.340 % in 2017. This records an increase from the previous number of 49.410 % for 2016. United States US: Employment To Population Ratio: National Estimate: Aged 15-24 data is updated yearly, averaging 54.810 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 61.150 % in 1989 and a record low of 45.000 % in 2010. United States US: Employment To Population Ratio: National Estimate: Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Employment and Unemployment. Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted Average; The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

The dataset contains workplace lead measurement results collected during health hazards evaluation surveys from 1991 to 2015 for over 1,900 area lead exposure assessment. The data about exposure are estimates of lead concentration in air and on working area surfaces and are accompanied by description of location, industry, working area, the activity that generates exposure, as well as other variables.

Historical Employment Statistics 1990 - current. The Current Employment Statistics (CES) more information program provides the most current estimates of nonfarm employment, hours, and earnings data by industry (place of work) for the nation as a whole, all states, and most major metropolitan areas. The CES survey is a federal-state cooperative endeavor in which states develop state and sub-state data using concepts, definitions, and technical procedures prescribed by the Bureau of Labor Statistics (BLS). Estimates produced by the CES program include both full- and part-time jobs. Excluded are self-employment, as well as agricultural and domestic positions. In Connecticut, more than 4,000 employers are surveyed each month to determine the number of the jobs in the State. For more information please visit us at http://www1.ctdol.state.ct.us/lmi/ces/default.asp.

This dataset uses seasonally adjusted data from the US Bureau of Labor Statistics to present information on Maryland's labor force participation rate, employment rate, and unemployment rate.

United States BED: sa: Job Losses: Educ & Health Svcs data was reported at 861.000 Unit th in Dec 2017. This records a decrease from the previous number of 903.000 Unit th for Sep 2017. United States BED: sa: Job Losses: Educ & Health Svcs data is updated quarterly, averaging 726.000 Unit th from Sep 1992 (Median) to Dec 2017, with 102 observations. The data reached an all-time high of 905.000 Unit th in Dec 2016 and a record low of 514.000 Unit th in Sep 1992. United States BED: sa: Job Losses: Educ & Health Svcs data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G043: Business Employment Dynamics.

Brazil BR: Employment To Population Ratio: Modeled ILO Estimate: Aged 15+ data was reported at 57.915 % in 2023. This records an increase from the previous number of 57.663 % for 2022. Brazil BR: Employment To Population Ratio: Modeled ILO Estimate: Aged 15+ data is updated yearly, averaging 59.714 % from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 61.619 % in 2008 and a record low of 52.195 % in 2020. Brazil BR: Employment To Population Ratio: Modeled ILO Estimate: Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Employment and Unemployment. Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.;International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

Contains claim details, as submitted by a provider, including: client details, profit and disbursement costs and category of Law. The database also contains contract & schedule information and various codes pertaining to each area of law (civil advice (non court) claims, Police Station advice claims and Magistrates Court claims.

This layer shows workers' place of residence by commute length. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percentage of commuters whose commute is 90 minutes or more. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B08303Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

The Federal Railroad Administration (FRA) sponsored a study of the work schedules and sleep patterns of railroad employees. The purpose of the study was to understand work-schedule related fatigue that affects various categories of railroad employees by documenting a group's work/rest schedules and sleep patterns to ascertain their impact on the level of fatigue/alertness.Employees surveyed include: signalmen, maintenance of way (MOW) workers, dispatchers, and train & engine service workers (in both freight and passenger train service)

Germany DE: Employers: Modeled ILO Estimate: % of Total Employment data was reported at 3.978 % in 2023. This records a decrease from the previous number of 4.076 % for 2022. Germany DE: Employers: Modeled ILO Estimate: % of Total Employment data is updated yearly, averaging 4.579 % from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 5.249 % in 2006 and a record low of 3.750 % in 1991. Germany DE: Employers: Modeled ILO Estimate: % of Total Employment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Employment and Unemployment. Employers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a 'self-employment jobs' i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced), and, in this capacity, have engaged, on a continuous basis, one or more persons to work for them as employee(s).;International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;

3043 Global import shipment records of Work with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Overview: Each quarter, the Temporary Foreign Worker Program (TFWP) publishes Labour Market Impact Assessment (LMIA) statistics on Open Government Data Portal, including quarterly and annual LMIA data related to, but not limited to, requested and approved TFW positions, employment location, employment occupations, sectors, TFWP stream and temporary foreign workers by country of origin. The TFWP does not collect data on the number of TFWs who are hired by an employer and have arrived in Canada. The decision to issue a work permit rests with Immigration, Refugees and Citizenship Canada (IRCC) and not all positions on a positive LMIA result in a work permit. For these reasons, data provided in the LMIA statistics cannot be used to calculate the number of TFWs that have entered or will enter Canada. IRCC publishes annual statistics on the number of foreign workers who are issued a work permit: https://open.canada.ca/data/en/dataset/360024f2-17e9-4558-bfc1-3616485d65b9. Please note that all quarterly tables have been updated to NOC 2021 (5 digit and training, education, experience and responsibilities (TEER) based). As such, Table 5, 8, 17, and 24 will no longer be updated but will remain as archived tables. Frequency of Publication: Quarterly LMIA statistics cover data for the four quarters of the previous calendar year and the quarter(s) of the current calendar year. Quarterly data is released within two to three months of the most recent quarter. The release dates for quarterly data are as follows: Q1 (January to March) will be published by early June of the current year; Q2 (April to June) will be published by early September of the current year; Q3 (July to September) will be published by early December of the current year; and Q4 (October to December) will be published by early March of the next year. Annual statistics cover eight consecutive years of LMIA data and are scheduled to be released in March of the next year. Published Data: As part of the quarterly release, the TFWP updates LMIA data for 28 tables broken down by: TFW positions: Tables 1 to 10, 12, 13, and 22 to 24; LMIA applications: Tables 14 to 18; Employers: Tables 11, and 19 to 21; and Seasonal Agricultural Worker Program (SAWP): Tables 25 to 28. In addition, the TFWP publishes 2 lists of employers who were issued a positive or negative LMIA: Employers who were issued a positive LMIA by Program Stream, NOC, and Business Location (https://open.canada.ca/data/en/dataset/90fed587-1364-4f33-a9ee-208181dc0b97/resource/b369ae20-0c7e-4d10-93ca-07c86c91e6fe); and Employers who were issued a negative LMIA by Program Stream, NOC, and Business Location (https://open.canada.ca/data/en/dataset/f82f66f2-a22b-4511-bccf-e1d74db39ae5/resource/94a0dbee-e9d9-4492-ab52-07f0f0fb255b). Things to Remember: 1. When data are presented on positive or negative LMIAs, the decision date is used to allocate which quarter the data falls into. However, when data are presented on when LMIAs are requested, it is based on the date when the LMIA is received by ESDC. 2. As of the publication of 2022Q1- 2023Q4 data (published in April 2024) and going forward, all LMIAs in support of 'Permanent Residence (PR) Only' are included in TFWP statistics, unless indicated otherwise. All quarterly data in this report includes PR Only LMIAs. Dual-intent LMIAs and corresponding positions are included under their respective TFWP stream (e.g., low-wage, high-wage, etc.) This may impact program reporting over time. 3. Attention should be given for data that are presented by ‘Unique Employers’ when it comes to manipulating the data within that specific table. One employer could be counted towards multiple groups if they have multiple positive LMIAs across categories such as program stream, province or territory, or economic region. For example, an employer could request TFWs for two different business locations, and this employer would be counted in the statistics of both economic regions. As such, the sum of the rows within these ‘Unique Employer’ tables will not add up to the aggregate total.

Success.ai offers a comprehensive, enterprise-ready B2B leads data solution, ideal for businesses seeking access to over 150 million verified employee profiles and 170 million work emails. Our data empowers organizations across industries to target key decision-makers, optimize recruitment, and fuel B2B marketing efforts. Whether you're looking for UK B2B data, B2B marketing data, or global B2B contact data, Success.ai provides the insights you need with pinpoint accuracy.

Tailored for B2B Sales, Marketing, Recruitment and more: Our B2B contact data and B2B email data solutions are designed to enhance your lead generation, sales, and recruitment efforts. Build hyper-targeted lists based on job title, industry, seniority, and geographic location. Whether you’re reaching mid-level professionals or C-suite executives, Success.ai delivers the data you need to connect with the right people.

Key Categories Served: B2B sales leads – Identify decision-makers in key industries, B2B marketing data – Target professionals for your marketing campaigns, Recruitment data – Source top talent efficiently and reduce hiring times, CRM enrichment – Update and enhance your CRM with verified, updated data, Global reach – Coverage across 195 countries, including the United States, United Kingdom, Germany, India, Singapore, and more.

Global Coverage with Real-Time Accuracy: Success.ai’s dataset spans a wide range of industries such as technology, finance, healthcare, and manufacturing. With continuous real-time updates, your team can rely on the most accurate data available: 150M+ Employee Profiles: Access professional profiles worldwide with insights including full name, job title, seniority, and industry. 170M Verified Work Emails: Reach decision-makers directly with verified work emails, available across industries and geographies, including Singapore and UK B2B data. GDPR-Compliant: Our data is fully compliant with GDPR and other global privacy regulations, ensuring safe and legal use of B2B marketing data.

Key Data Points for Every Employee Profile: Every profile in Success.ai’s database includes over 20 critical data points, providing the information needed to power B2B sales and marketing campaigns: Full Name, Job Title, Company, Work Email, Location, Phone Number, LinkedIn Profile, Experience, Education, Technographic Data, Languages, Certifications, Industry, Publications & Awards.

Use Cases Across Industries: Success.ai’s B2B data solution is incredibly versatile and can support various enterprise use cases, including: B2B Marketing Campaigns: Reach high-value professionals in industries such as technology, finance, and healthcare. Enterprise Sales Outreach: Build targeted B2B contact lists to improve sales efforts and increase conversions. Talent Acquisition: Accelerate hiring by sourcing top talent with accurate and updated employee data, filtered by job title, industry, and location. Market Research: Gain insights into employment trends and company profiles to enrich market research. CRM Data Enrichment: Ensure your CRM stays accurate by integrating updated B2B contact data. Event Targeting: Create lists for webinars, conferences, and product launches by targeting professionals in key industries.

Use Cases for Success.ai's Contact Data - Targeted B2B Marketing: Create precise campaigns by targeting key professionals in industries like tech and finance. - Sales Outreach: Build focused sales lists of decision-makers and C-suite executives for faster deal cycles. - Recruiting Top Talent: Easily find and hire qualified professionals with updated employee profiles. - CRM Enrichment: Keep your CRM current with verified, accurate employee data. - Event Targeting: Create attendee lists for events by targeting relevant professionals in key sectors. - Market Research: Gain insights into employment trends and company profiles for better business decisions. - Executive Search: Source senior executives and leaders for headhunting and recruitment. - Partnership Building: Find the right companies and key people to develop strategic partnerships.

Why Choose Success.ai’s Employee Data? Success.ai is the top choice for enterprises looking for comprehensive and affordable B2B data solutions. Here’s why: Unmatched Accuracy: Our AI-powered validation process ensures 99% accuracy across all data points, resulting in higher engagement and fewer bounces. Global Scale: With 150M+ employee profiles and 170M verified work emails, Success.ai provides extensive coverage for UK B2B data, B2B marketing data, and global contacts. Competitive Pricing: We offer the most competitive rates on the market, undercutting major competitors like Lusha, Cognism, and ZoomInfo. Tailored Solutions: Our white-glove service ensures we deliver exactly what you need, in the format that suits your workflow (CSV, Excel, etc.). Real-Time Updates: Our data is continuously updated, so you always have the latest information, unlike static da...

This map is related to HB – 143 § 33.2-280.2 (Effective January 1, 2025) Utility work database which stipulates The Virginia Department of Transportation map any permits issued to utility companies for work in a residential neighborhood . § 33.2-280.2. (Effective January 1, 2025) Utility work database.A. As used in this section:"Service connection" means any utility facility installed overhead or underground between a distribution main, pipelines, conduits, lines, wires, or other sources of supply and the premises of the individual customer."Utility work" means the construction, installation, removal, or substantial maintenance of a privately, publicly, or cooperatively owned line, facility, or system for producing, transmitting, or distributing telecommunications, cable television, electricity, gas, oil, petroleum products, water, steam, storm water not connected with highway drainage, or any other similar commodity, including any fire or police signal system. "Utility work" does not include emergency maintenance or repairs or any work directly related to any individual service connection or service drop.B. The Department shall establish and maintain a publicly accessible database and map of all utility work that has been approved by the Department and will occur within a highway right-of-way in a residential neighborhood, as specified by the utility. Such database shall include the location where such work will occur, the start date of such work, the projected end date of such work, the company administering such work, and any other relevant information; however, under no circumstances shall such database and map provide information on any (i) utility work within a right-of-way not maintained by the Department; (ii) critical utility infrastructure, as designated by the utility, that, upon disclosure, has the potential to jeopardize security or critical services, including Critical Energy Infrastructure Information and Controlled Unclassified Information; or (iii) information the permittee has designated as confidential. Such information shall be available in the database at least seven days prior to the start date of any such utility work and shall be deleted from such database 90 days after the completion of such work.

Success.ai’s LinkedIn Data for Energy Professionals Worldwide provides a powerful dataset tailored to businesses and organizations aiming to connect with key decision-makers and professionals in the global energy sector. Covering roles such as energy consultants, project managers, engineers, and executives, this dataset offers verified LinkedIn profiles, work emails, professional histories, and actionable insights.

With access to over 700 million verified global profiles, Success.ai ensures your marketing, outreach, and partnership strategies are driven by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution empowers you to excel in the dynamic and evolving energy landscape.

Why Choose Success.ai’s LinkedIn Data?

1. Verified Contact Data for Precision Engagement

   • Access verified LinkedIn profiles, work emails, and professional histories of energy professionals worldwide.
   • AI-driven validation ensures 99% accuracy, minimizing inefficiencies and boosting engagement rates.

2. Comprehensive Coverage of the Global Energy Sector

   • Includes professionals from top energy hubs such as North America, Europe, the Middle East, and Asia-Pacific.
   • Gain insights into renewable energy initiatives, oil and gas operations, and emerging energy technologies.

3. Continuously Updated Datasets

   • Real-time updates ensure profiles remain accurate and reflect the latest career moves and industry changes.
   • Stay ahead of energy trends and capitalize on new opportunities effectively.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible and lawful data usage.

Data Highlights:

• 700M+ Verified Global Profiles: Access LinkedIn profile data for energy professionals and decision-makers worldwide.
• Leadership Insights: Connect with energy executives, project managers, and consultants driving industry advancements.
• Verified Contact Details: Gain work emails and phone numbers for targeted outreach.
• Professional Histories: Understand career trajectories, areas of expertise, and contributions to the energy sector.

Key Features of the Dataset:

1. Comprehensive Energy Professional Profiles

   • Identify and connect with professionals involved in renewable energy, oil and gas, utilities, and energy infrastructure projects.
   • Target decision-makers responsible for sustainability initiatives, technology adoption, and operational efficiency.

2. Advanced Filters for Precision Campaigns

   • Filter professionals by industry focus (solar, wind, oil and gas, utilities), geographic location, or job function.
   • Tailor campaigns to align with specific energy market needs, such as efficiency improvements or regulatory compliance.

3. Regional and Industry Insights

   • Leverage data on global energy trends, consumption patterns, and technological innovations.
   • Refine marketing strategies and business outreach based on actionable insights specific to energy markets.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data enable personalized messaging, highlight unique value propositions, and improve engagement outcomes.

Strategic Use Cases:

1. Marketing Campaigns and Lead Generation

   • Design targeted campaigns to promote energy solutions, renewable technologies, or consultancy services to energy professionals globally.
   • Use verified contact data for multi-channel outreach, including email, phone, and social platforms.

2. Partnership Development and Collaboration

   • Build relationships with energy companies, renewable energy providers, and utilities seeking strategic alliances.
   • Foster collaborations that enhance energy efficiency, expand renewable adoption, or improve grid resilience.

3. Market Research and Competitive Analysis

   • Analyze energy trends and technology adoption to refine product offerings, marketing strategies, and development plans.
   • Benchmark against competitors to identify growth opportunities and high-demand solutions.

4. Recruitment and Talent Acquisition

   • Target HR professionals and hiring managers in the energy sector recruiting for roles in engineering, project management, or sustainability.
   • Provide workforce optimization platforms or training solutions tailored to the energy industry.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality LinkedIn data at competitive prices, ensuring strong ROI for your marketing, outreach, and development efforts.

2. Seamless Integration

   • Integrate verified LinkedIn data into CRM systems, analytics tools, or marketing platforms via APIs or downloadable formats, enhancing productivity and streamlining workflows.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to guide data-driven decisions, refine targeting, and boost conver...

Success.ai provides a robust, enterprise-grade solution with access to over 150 million verified employee profiles, encompassing comprehensive B2B and B2C contact data. This extensive database is crafted to assist organizations in targeting key decision-makers, enhancing recruitment processes, and powering dynamic B2B marketing initiatives. Our offerings are designed to meet diverse industry needs, from small businesses to large enterprises, ensuring global coverage and up-to-date information.

• Global Coverage: With data spanning 195 countries, Success.ai delivers profiles that include crucial contact details like email addresses, phone numbers, and physical addresses.
• Tailored Data Solutions: Adapted to your specific business needs, our data sets include B2B contact data, phone number data, email address data, address data, and small business contact data.
• Real-Time Accuracy: Continuously updated to maintain the utmost accuracy and relevance, helping you make informed decisions swiftly.
• Compliance and Ethics: Our data collection and processing are fully compliant with global standards, ensuring ethical usage across all business practices.
• Strategic Use Cases: Ideal for targeted lead generation, personalized marketing campaigns, strategic sales outreach, and comprehensive market research.

Why Choose Success.ai?

• Best Price Guarantee: We offer competitive pricing, ensuring you get the best value for comprehensive contact data.
• Advanced Data Validation: Utilize our AI technology for a 99% accuracy rate across all data points.
• Comprehensive Reach: From local businesses to global enterprises, access detailed contact data for over 150 million profiles.
• Customized Data Delivery: Receive data tailored to your requirements, directly integrated into your systems without the need for complex platform management.

Key Use Cases:

• B2B Marketing: Leverage accurate email and phone data to execute precise marketing campaigns.
• Sales Enhancement: Utilize verified contact details to reach decision-makers and close deals more effectively.
• Recruitment Efficiency: Access up-to-date contact information to source and recruit top talent globally.
• Customer Insights: Enhance your understanding of customer bases with detailed address and demographic data.
• Network Expansion: Utilize comprehensive B2C contact data to broaden your consumer outreach and engagement.

Success.ai stands as your premier partner in harnessing the power of detailed contact data to drive business growth and operational efficiency. Our commitment to delivering tailored, accurate, and ethically sourced data ensures that you can engage with your target audience effectively and responsibly.

Get started with Success.ai today and experience how our B2B and B2C contact data solutions can transform your business strategies and lead you to achieve measurable success.

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Tired of guessing what's happening in the job market? Xverum's 13M+ job data gives you real-time insights into the dynamic world of work, empowering you to make data-driven decisions and stay ahead of the curve.

Why Xverum's employee data?

➨ Real-time intelligence: Get a pulse on the job market with daily updates from over 13 million job ads, revealing the latest trends and opportunities.

➨ Unrivaled data breadth: Access rich datasets, including employee data, job market data, recruiting data, and even Indeed data, giving you a comprehensive picture of the job landscape.

Actionable insights: Use Xverum's data to:

➨ Optimize your HR strategy: Identify in-demand skills, salary expectations, and talent pools to attract the best talent.

➨ Validate your B2B leads: Target companies actively hiring for your ideal clients, maximizing your marketing ROI.

➨ Unlock HR intelligence: Gain deeper insights into employee demographics, industry trends, and competitor hiring practices.

➨ Optimize talent acquisition: Attract the right talent with precision, ensuring your recruitment efforts are effective and efficient.

➨ Conduct in-depth labor market research: Analyze specific industries, regions, and job categories to inform your business strategies.

➨ Effortless integration: Our industry-standard CSV formats seamlessly integrate with your existing systems and tools for easy analysis.

➨ Historical data at your fingertips: Access past job trends, using 3 years of historical job data, to understand how the market has evolved and anticipate potential future opportunities.

Xverum's global HR data is your secret weapon for success in the dynamic job market. Contact us today to learn how it can transform your business!