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Easy to Use Crawlers Amazon Product Details and Pricing Scraper Amazon Product Details and Pricing Scraper Get product information, pricing, FBA, best seller rank, and much more from Amazon.

Google Maps Search Results Google Maps Search Results Get details like place name, phone number, address, website, ratings, and open hours from Google Maps or Google Places search results.

Twitter Scraper Twitter Scraper Get tweets, Twitter handle, content, number of replies, number of retweets, and more. All you need to provide is a URL to a profile, hashtag, or an advance search URL from Twitter.

Amazon Product Reviews and Ratings Amazon Product Reviews and Ratings Get customer reviews for any product on Amazon and get details like product name, brand, reviews and ratings, and more from Amazon.

Google Reviews Scraper Google Reviews Scraper Scrape Google reviews and get details like business or location name, address, review, ratings, and more for business and places.

Walmart Product Details & Pricing Walmart Product Details & Pricing Get the product name, pricing, number of ratings, reviews, product images, URL other product-related data from Walmart.

Amazon Search Results Scraper Amazon Search Results Scraper Get product search rank, pricing, availability, best seller rank, and much more from Amazon.

Amazon Best Sellers Amazon Best Sellers Get the bestseller rank, product name, pricing, number of ratings, rating, product images, and more from any Amazon Bestseller List.

Google Search Scraper Google Search Scraper Scrape Google search results and get details like search rank, paid and organic results, knowledge graph, related search results, and more.

Walmart Product Reviews & Ratings Walmart Product Reviews & Ratings Get customer reviews for any product on Walmart.com and get details like product name, brand, reviews, and ratings.

Scrape Emails and Contact Details Scrape Emails and Contact Details Get emails, addresses, contact numbers, social media links from any website.

Walmart Search Results Scraper Walmart Search Results Scraper Get Product details such as pricing, availability, reviews, ratings, and more from Walmart search results and categories.

Glassdoor Job Listings Glassdoor Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Glassdoor.

Indeed Job Listings Indeed Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Indeed.

LinkedIn Jobs Scraper Premium LinkedIn Jobs Scraper Scrape job listings on LinkedIn and extract job details such as job title, job description, location, company name, number of reviews, and more.

Redfin Scraper Premium Redfin Scraper Scrape real estate listings from Redfin. Extract property details such as address, price, mortgage, redfin estimate, broker name and more.

Yelp Business Details Scraper Yelp Business Details Scraper Scrape business details from Yelp such as phone number, address, website, and more from Yelp search and business details page.

Zillow Scraper Premium Zillow Scraper Scrape real estate listings from Zillow. Extract property details such as address, price, Broker, broker name and more.

Amazon product offers and third party sellers Amazon product offers and third party sellers Get product pricing, delivery details, FBA, seller details, and much more from the Amazon offer listing page.

Realtor Scraper Premium Realtor Scraper Scrape real estate listings from Realtor.com. Extract property details such as Address, Price, Area, Broker and more.

Target Product Details & Pricing Target Product Details & Pricing Get product details from search results and category pages such as pricing, availability, rating, reviews, and 20+ data points from Target.

Trulia Scraper Premium Trulia Scraper Scrape real estate listings from Trulia. Extract property details such as Address, Price, Area, Mortgage and more.

Amazon Customer FAQs Amazon Customer FAQs Get FAQs for any product on Amazon and get details like the question, answer, answered user name, and more.

Yellow Pages Scraper Yellow Pages Scraper Get details like business name, phone number, address, website, ratings, and more from Yellow Pages search results.

This text file contains the Central Index Key (CIK) numbers, company names, SEC reporting file numbers, and addresses (business addresses are provided when mailing addresses are not available) of active broker-dealers who are registered with the SEC.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Real Estate Agents And Brokers Directory Utah

This data contains active Real Estate Salesperson and Broker Licenses from New York State Department of State (DOS). Each line will be either an individual or business licensee which holds business address and license number information. If the license type is an individual, the business name that the individual works for will be listed.

Mortgage Brokers Email List

Mortgage brokers play an important role in connecting buyers and financial institutions, but targeting them effectively requires precise and reliable data. A very targeted and periodically updated email list is essential to effectively get to mortgage brokers. Sourced using rigorous data gathering and adherence to privacy laws, including GDPR and CAN-SPAM, our all-inclusive, geo-targeted mortgage brokers email lists

This industry involves the publishing of lists of facts and information like databases that are protected in their form, but not in their content. These lists can be published in printed or electronic form.

The Data Monetization Market size was valued at USD 2.99 USD Billion in 2023 and is projected to reach USD 8.76 USD Billion by 2032, exhibiting a CAGR of 16.6 % during the forecast period. Data Monetization refers to the process of using data to obtain quantifiable economic benefit. Internal or indirect methods include using data to make measurable business performance improvements and inform decisions. External or direct methods include data sharing to gain beneficial terms or conditions from business partners, information bartering, selling data outright (via a data broker or independently), or offering information products and services (for example, including information as a value-added component of an existing offering). Data can be sold in its raw form or in a form that already incorporates insights and analysis. A simple example of direct data monetization is contact lists of potential business prospects that influence buyers’ businesses or trades. Indirect or internal data monetization involves making measurable business performance improvements and informed decisions using data. Recent developments include: October 2023 – Narrative I/O collaborated with Snowflake to display data within the Trade Desk through the Snowflake Marketplace. It helps create effective, data-driven digital media campaigns. This initiative by Narrative and Snowflake will provide joint customers with a cost-effective solution for activating and distributing audiences from the Snowflake Marketplace., January 2023 – Inbounds.com completed the acquisition of Data Prosper, which provides data list management services, data prosper, data brokerage, and data monetization, among others. This acquisition resulted in enhancements to inbound data analytics and improvement in the client’s return on investments to boost business growth., December 2022 – Wipro launched Wipro Data Intelligence Suite, which is a solution that provides advanced functionalities concerning monetization and cloud modernization. With the additional cloud support, the company aimed to boost digital transformation and enable business growth., March 2022 – Silverback United Inc. completed the acquisition of Darwin Data Capital Inc., which was a provider of data-backed asset solutions and products with major end-users of large industries. This acquisition resulted in a geographical expansion in the U.S., July 2021 – Axia collaborated with UDBI to monetize data and enhance business growth. This collaboration resulted in internal and external monetization of data to improve the consumer experience by implementing personalized marketing and enhancing the consumer experience.. Key drivers for this market are: Increasing Practice of Data Generation and Data Collection within Businesses to Drive the Market Growth. Potential restraints include: Fewer Skilled Workforce and Talent Management Issues to Limit the Market Growth. Notable trends are: Increasing Demand for Private Data and Analytics by Emerging Industries to Fuel Market Growth.

Utah Real Estate Agents And Brokers Summary List

This industry involves the publishing of lists of facts and information like databases that are protected in their form, but not in their content. These lists can be published in printed or electronic form.

This dataset is a listing of viatical brokers that are licensed to do business in Iowa.

Abstract

Title: Cotality Multiple Listing Service (MLS)

A multiple listing service (MLS) is an exchange where real estate brokers share information about properties they are selling. Other real estate brokers review the listings, and are compensated if they can identify a buyer for a property. Multiple listing services promote cooperation and mutual benefit for real estate brokers representing buyers and sellers. The Cotality Multiple Listing Service data contains listings from 135 real estate boards utilizing Cotality's multiple listing service software. The data was produced in August 2024.

Formerly known as CoreLogic Multiple Listing Service (MLS).

Methodology

The data consists of listings from 135 real estate boards that use Cotality listing software. The data DOES NOT cover listings from all real estate boards in the United States. The National Association of Realtors maintains the most complete and up-to-date list of real estate boards; however, this information is only available to members of the National Association of Realtors.

For more information about how the data was prepared for Redivis, please see Cotality 2024 GitLab.

Usage

Quick Search (QS) contains the most recent listing data (as of August 2024). In order to see the entire listing history of a property/record, you will need to search the Quick History (QH) table on the SysPropertyID, which is a unique key for a listing across multiple listing boards. You can use the variable FA_PostDate to see when updates occurred. Updates include name changes, price changes, etc.

During upload to Data Farm, a small number of invalid records were dropped from the Quick History (QH) table. For more information, see Cotality 2024 GitLab. To access the complete data (including invalid records), please see Bulk Data Access instructions, below.

Bulk Data Access

Data access is required to view this section.

Provide a list of legitimate real estate brokers in Taoyuan City

Canada remains deeply committed to supporting Ukraine’s sovereignty and territorial integrity. Canada remains concerned by the Government of Russia’s ongoing aggression, destabilizing activities and escalation. Accordingly, effective immediately, Canada will stop the issuance of new permits for the export and brokering of controlled goods and technology to Russia.

A data set shows a list of basis and demands to suspend the broker’s license at the company’s request, and its issuance date.

This industry involves the publishing of lists of facts and information like databases that are protected in their form, but not in their content. These lists can be published in printed or electronic form.

NMLS Loan Originator Mortgage Data provides strong intelligence to inform your next move. Access Loan Originator NMLS IDs, Loan Originator Names, Loan Origination Company NMLS IDs, Loan Origination Company Names, Mortgage Brokers NMLS IDs, and Mortgage Broker Names.

"The following companies have been issued trade waste broker's registrations by the Business Integrity Commission. They are authorized to broker agreements between business customers and trade waste removal companies and/or to conduct evaluations of the customers' waste stream in order to recommend cost efficient means of waste disposal or other changes."

Browse LSEG's Aftermarket Research, discover our range of data, indices & benchmarks. Our Data Catalogue offers unrivalled data and delivery mechanisms.

Studies of electoral clientelism—the contingent exchange of material benefits for electoral support—frequently presume the presence of strong parties. Parties facilitate monitoring and enforcement of vote-buying and allow brokers to identify core voters for turnout-buying. Where money fuels campaigns but elections center around candidates, not parties, how do candidates pitch electoral handouts? We analyze candidates’ distribution of cash during an Indonesian election. Drawing upon varied data, including surveys of voters and brokers, candidates’ cash-distribution lists, and focus-group discussions, we find heavy spending, but little evidence of vote-buying or turnout-buying. Instead, candidates buy brokers more than voters: with little loyalty or party brand to draw on, candidates seek to establish credibility with well-networked brokers, who then protect their turf with token payments for their own presumed bloc of voters. Consistent with our argument that these are non-contingent payments, we find little evidence of monitoring of either voter or broker behavior.