Scrape Linkedin Profile and Company Data

How WalMart Scraper Becomes Useful For Ecommerce Businesses?

How to Scrape Followers From Instagram using Python ??

This Tutorial will explain you how we can extract followers and other data from instagram.com using python.

Have you heard about Instagram Scraping ?? Here is the detail to scrape yellow pages using python coding.

Instagram scraping provides updated data information along with Followers, Biography , Category, Email , Name etc..

We can perform Instagram scraping and Extract Following Data using python Instagram scraper.

• Biography
• Category
• Email
• Followers
• Following
• Name
• Post
• Profile Id
• URL
• Username

Screen shot  from data will be extracting

Inspecting element for data extractions

To find appropriate data from website first we have to  inspecting and understanding html tag  which is associated with given data ..

please follow below steps to finding tags

• Open browser (Google Chrome , Mozilla )
• Copy and paste url you want to scrape.

• Press F12 to view HTML structure and json file of given site.,
• find tags for require data

Here we have explained for finding price tag how can we find it , like this  other tags can easily find…

How to set up your computer for web scraper development

We will use Python 3 for this tutorial. The code will not run if you are using Python 2.7. To start, you need a computer with Python 3 and PIP installed in it.

Let’s check your python version. Open a terminal ( in Linux and Mac OS ) or Command Prompt ( on Windows ) and type

python –version

and press enter. If the output looks something like Python 3.x.x, you have Python 3 installed. If it says Python 2.x.x you have Python 2. If it prints an error, you don’t probably have python installed.

If you don’t have Python 3, install it first.

Install Python 3 and Pip

Linux – https://www.python.org/downloads/source/

Mac Users can follow this guide – https://www.python.org/downloads/mac-osx/

Windows Users go here – https://www.python.org/downloads/windows/

For PIP installation   visit this link  – https://www.liquidweb.com/kb/install-pip-windows/

Install Packages

• Python Requests, to make requests and download the HTML content of the pages ( http://docs.python-requests.org/en/master/user/install/).
• Python LXML, for parsing the HTML Tree Structure using Xpath (Learn how to install that here – http://lxml.de/installation.html)

Code to Scrape Instagram profile

import requests
from lxml import html
import requests.packages.urllib3.exceptions
import json
from urllib3.exceptions import InsecureRequestWarning

# below code send http get request to yellowpages.com
# return content in form of string
# lib Refernce
# 1 :- request

def getRequest(url):
headers = {‘Accept’: ‘text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8’,
‘Accept-Language’: ‘en-GB,en;q=0.9,en-US;q=0.8,ml;q=0.7’,
‘User-Agent’: ‘Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.140 Safari/537.36’}
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
response = requests.get(url, verify=False, headers=headers)
return response.text

# This method is use to parse data from string
# Return object with data
# lib Refrence
# 1 :- lxml
# 2 : json

def parseData(strHtml):
strJson = strHtml[strHtml.index(“window._sharedData =”) + 20:]
strJson = strJson[0:strJson.index(“;</script>”)]
jObject = json.loads(strJson)

url = “https://www.instagram.com” + jObject[“entry_data”][“ProfilePage”][0][“graphql”][“user”][“username”]
name = jObject[“entry_data”][“ProfilePage”][0][“graphql”][“user”][“full_name”]
username = jObject[“entry_data”][“ProfilePage”][0][“graphql”][“user”][“username”]
profileid = jObject[“entry_data”][“ProfilePage”][0][“graphql”][“user”][“id”]
post = jObject[“entry_data”][“ProfilePage”][0][“graphql”][“user”][“edge_owner_to_timeline_media”][“count”]
followers = jObject[“entry_data”][“ProfilePage”][0][“graphql”][“user”][“edge_followed_by”][“count”]
following = jObject[“entry_data”][“ProfilePage”][0][“graphql”][“user”][“edge_follow”][“count”]
category = jObject[“entry_data”][“ProfilePage”][0][“graphql”][“user”][“edge_followed_by”][“count”]
email = jObject[“entry_data”][“ProfilePage”][0][“graphql”][“user”][“business_category_name”]
biography = jObject[“entry_data”][“ProfilePage”][0][“graphql”][“user”][“biography”]

return {
“Url”: url,
“Name”: name,
“User Name”: username,
“Profile Id”: profileid,
“Post”: post,
“Followers”: followers,
“Following”: following,
“Category”: category,
“Email”: email,
“Biography”: biography

}

if __name__ == “__main__”:
print(‘Scraping Data from Instagram’)
url = ‘Target URL’print(‘Url :- ‘ + url)
strHtml = getRequest(url)
strResult = parseData(strHtml)
result = json.dumps(strResult, sort_keys=True, indent=4)
print(result)

Above code is developed for Python 3.X  .. Run in any IDE  like PyCharm , sublime text etc…  We got here json file , we can also extract these data into sql database , export in CSV , Excel with modification in coding..

Here  using lxml library  data is extracted , you can do using beautifulsoup 4 also we can extract data from any website..

Run above code in any IDE of python and you will get result in JSON..  for test you can use another url from eBay..

Clarification :- This  code available in this tutorial is  only learning purpose . We are not responsible for how it is used and assume no liability for any detrimental usage of the source code. This code is only  use for knowledge expansion regarding programming field.. by this tutorial we are not encourage eBay scraping or web scraping but will help to understand scraping.. also we are not responsible to provide any support for this code .. user can modify for learning purpose..

How Ecommerce business Industry take advantage of Ebay product data?

Ebay Product Scraping

Are You Interested In Grabbing Product Data From Ebay? – Solution is  Scrape Ebay Products

Ebay product scraping is best method to scrape ebay products within very short time using automated way. You can also go with Ebay data scraper tool.

EBay is one of the most popular and widely-used ecommerce stores. It offers a host of products, such as electronics, baby items, sporting goods, collectibles, fashion apparel, cars, etc. for buying or selling. Every product on display on eBay has its details. For instance, every product on eBay has information containing product name, ID, description, pricing, specification, and images.

This product information can be extracted and used for many other different purposes, such as marketing and product price comparison. More so, insights from the eBay product data can be used by business owners to edge against the business competition. Hence, you would need to scrape  eBay products data, which is the most reliable way to extract product information on eBay that can be used for marketing and competitor monitoring.

Product data extracted from eBay can be extremely useful for you if you’re in the ecommerce industry. You can make use of your competitor’s product data for your competitive intelligence. You can also use it as a reference while pricing similar products on other ecommerce stores. More so, eBay product data can help you in making a better decision that would favor your business.

Though this product data can be extracted manually, extracting the data in an easy, efficient, and prompt manner from eBay requires the use of an eBay product scraping service. Why would anyone want to waste his or her time on manual eBay product data scraping when there is a new generation of eBay data scraping service that is based on AI technology. With eBay data scraping service, data seekers can now easily and conveniently extract the following fields on eBay, such as product title, product title link, product image, product price, product reviews, country of the seller, product shipping details, etc. Get more about Ebay data scraping.

Why should you spend so much money and time on extracting eBay product data? Get an affordable yet professional eBay product scraping service that is capable to scrape ebay products in bulk and time-saving manner. Though there are several eBay product data extracting service providers, it is important to get those who can handle your need professionally. We also have expertise in scraping Ecommerce websites like Amazon, Walmart, Aliexpress and more. If you are need of an eBay data scraping solution, I recommend you consider Infovium web scraping services for an affordable, efficient, and professional data scraping service.

Are you interested to learne about How to Scrape Ebay Product Data Using Python ??

How to Scrape Ebay Product Data Using Python ??

This Tutorial will explain you how we can extract product data 

from Ebay.com using python eBay scraper

Have you heard about Ebay Data Scraping ?? It is a way to Scrape Ebay Products data from
Ebay.com by Automated way using python.

Ebay data scraping provides updated product information along with changing prices, reviews ,
and more..

We can Scrape Ebay and Extract Following Data using python 

Ebay scraper.

• Name
• URL
• Price
• Shipping Cost
• Product status
• from location..

Inspecting element for data extractions

To find appropriate data from website first we have to  inspecting and understanding html
tag  which is associated with given data ..

please follow below steps to finding tags

1. Open browser (Google Chrome , Mozilla )

2.Copy and paste url you want to scrape.

3. Press F12 to view HTML structure of given site.,

4. find tags for require data

Here we have explained for finding price tag how can we find it , like this  other tags can easily
find…

How to set up your computer for web scraper development

We will use Python 3 for this tutorial. The code will not run if you are using Python 2.7. To start,
 you need a computer with Python 3 and PIP installed in it.

Let’s check your python version. Open a terminal ( in Linux and Mac OS ) or Command Prompt
( on Windows ) and type

python –version

and press enter. If the output looks something like Python 3.x.x, you have Python 3 installed. If it
says Python 2.x.x you have Python 2. If it prints an error, you don’t probably have python installed.

If you don’t have Python 3, install it first.

Install Python 3 and Pip

Linux – https://www.python.org/downloads/source/

Mac Users can follow this guide – https://www.python.org/downloads/mac-osx/

Windows Users go here – https://www.python.org/downloads/windows/

For PIP installation   visit this link  – https://www.liquidweb.com/kb/install-pip-windows/

Install Packages

• Python Requests, to make requests and download the HTML content of the pages 
• ( http://docs.python-requests.org/en/master/user/install/).
• Python LXML, for parsing the HTML Tree Structure using Xpath (Learn how to install that here – http://lxml.de/installation.html)

Code to Scrape eBay.

import requests
from lxml import html
import requests.packages.urllib3.exceptions
import json
from urllib3.exceptions import InsecureRequestWarning
import urllib3
from lxml import etree

# below code send http get request to yellowpages.com
# return content in form of string
# lib Refernce
# 1 :- request

def getRequest(url):
headers = {‘Accept’: ‘text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8’,
‘Accept-Encoding’: ‘gzip, deflate, br’,
‘Accept-Language’: ‘en-GB,en;q=0.9,en-US;q=0.8,ml;q=0.7’,
‘User-Agent’: ‘Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.140 Safari/537.36’}
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
response = requests.get(url, verify=False, headers=headers)
return response.text

# This method is use to parse data from string
# Return object with data
# lib Refrence
# 1 :- lxml
# 2 : json

def parseData(strHtml):
parser = html.fromstring(strHtml)
items = parser.xpath(“//div[@class=’s-item__wrapper clearfix’]”)
results = []
for item in items :
name = item.xpath(“.//h3”)[0].text
url = item.xpath(“.//a[@class=’s-item__link’]”)[0].get(“href”)
price = item.xpath(“.//span[@class=’s-item__price’]”)[0].text
image_url = item.xpath(“.//img[@class=’s-item__image-img’]”)[0].get(“src”)
shipping_cost = item.xpath(“.//span[@class=’s-item__shipping s-item__logisticsCost’]”)[0].text
from_location = item.xpath(“.//span[@class=’s-item__location s-item__itemLocation’]”)[0].text
product_status = item.xpath(“.//span[@class=’SECONDARY_INFO’]”)[0].text
results.append({
‘Name’ : name,
‘URL’ : url,
‘Price’ : price,
‘Image_url’ : image_url,
‘Shipping_cost’ : shipping_cost,
‘From_Location’ : from_location,
‘Product_status’ :product_status

})
return results

if __name__ == “__main__”:
print(‘Scraping Data from yellow Pages’)
url = ‘https://www.ebay.com/sch/i.html?_nkw=Mobile’print(‘Url :- ‘+url)
strHtml = getRequest(url)
strResult = parseData(strHtml)
result = json.dumps(strResult, sort_keys=True, indent=4)
print(result)

Above code is developed for Python 3.X  .. Run in any IDE  like PyCharm , sublime text etc…
We got here json file , we can also extract these data into sql database , export in CSV , Excel with
modification in coding..

Here  using lxml library  data is extracted , you can do using beautifulsoup 4 also we can extract
data from any website..

Run above code in any IDE of python and you will get result in JSON..  for test you can use
another url from eBay..

Clarification :- This  code available in this tutorial is  only learning purpose . We are not
responsible for how it is used and assume no liability for any detrimental usage of the source code.
This code is only  use for knowledge expansion regarding programming field.. by this
tutorial we are not encourage eBay scraping or web scraping but will help to understand scraping..
also we are not responsible to provide any support for this code .. user can modify for learning
purpose..

Success keys to increase Business outcome in short time

Are you a business owner? Are you want to educate yourself to running successful business? Here this article gives some tips to improve your business outcome. Learning from such article will gives something new that you are not following.

All businesses are based on statistical data about market. Collecting market data can help all businesses to update with market movements, Trends, Price variations and all. Top businesses use such statistical data for market analysis and prepare their future plan and policies to increase business outcome. How to collect such data for statistical analysis?

Keep watch on competitor strategy and sales method they follow. What are the pricing by other, marketing technique which competitors follow and many more details about competitors in same business category?

Think about audience that can need of your business and services or products. For example consider your business is Web scraping services . Web Data scraping services provide optimum way to extract data from web pages using coding that works automatically and arrange that extracted data in to format that desire like XML, CSV, Text and JSON. It is fastest and automatic coding method so saves manual work, time and resources cost. Then who would be your potential customer? Answer is Real Estate business, Travel business, Hotel and Restaurant business, Ecommerce business, Automobile Industry, Medical and pharmaceutical field and more.

So try to gather accurate contact details of such audience. Then contact them for searching new customer and built relationship with them. Remember way of talking with them is also important to convert it into lead.

Make your social media profiles and business page in Facebook, Twitter ad LinkedIn. Prepare Business page descriptive such way that by reading it one can understand about your services and products. Also include correct contact details and website for getting more about business. Connect with various groups which contains people involves and related to your business. Share some interested content about your business activity.

Understand your potential customers what they are demanding. Generally all use Twitter to increase number of followers but also focus on latest trends running related to your business. That helps you to understand human behavior and thinking.

LinkedIn is also best platform to reach with more and more persons. LinkedIn contains only business professionals and career oriented persons. In your profile invite people and make connection with your targeted people that can need your services or products. You can also share update of your business on LinkedIn.

Aware about new technology comes in market regarding your business and check whether it is feasible for you to use. Sometimes it saves your efforts and time at nominal cost. It is necessary to update yourself with new to compete in market.

Strong online presence and branding your business can help you become popularity. Now a day use of Google and YouTube is increasing due to revolution in mobile technology as well as ease of internet. Strong online presence of your business web page or website is essential.

Use long tail keywords for your business that generally people use for searching in Google and rank them up. Ranking in Google will increase business popularity and also click to your website. This will generate lead. SEO is best method to improve in Google ranking. Learn some of SEO techniques by video in YouTube.

Find various ways to drive traffic to your business such as banner, advertising, promotional offers, incentive and more. Lead generation is possible by attracting people to your business.

Become perfect leader is fundamental part for running successful business. As perfect leader must work inseparably with team together and understand their capabilities. Plan for how to manage work priority and how to distribute work among team according to the person skill? Talk with your staff, listen to them and motivate them.

Effectively plan your marketing budget and execute according to that. This will help you to drive your business in lower budget. After some days take follow up and analyse weather used marketing strategies prove efficient for you or not. Which marketing method works well for your business? Don’t waste your money without any marketing plan.

These are some simple tips to keep your business healthy. Try these tips and plan how you work on these? Definitely you will get effectiveness in your business outcome.

Source: 

https://www.evernote.com/shard/s691/sh/55642f88-ee1f-43ef-9c79-8684d77dd09a/307e57f188ec0f094fb0e093bb555fe2

How to scrape data from amazon using python | Tutorial

Scrape Twitter Data and Improves Your Social Intelligence

Best Twitter scraping tool

Want To Scrape Twitter Data For Your Business??

Then try Twitter scraping tool. It proves cheapest way to regularly scrape Twitter followers and data. In recent years, Twitter is a real-time social network that connects you to the latest updates, ideas, market trends and news according to your business field interests. Twitter is popularly used among several Businesses around the world to achieve intent on a much bigger audience.

Considering this, you would see that Twitter is one of the best and easiest ways of reaching out to larger groups of target audiences. Twitter also provides a ton of insights useful for your business. Twitter contains real-time data that holds lots of value for any business. This twitter data is not just a handful of information that can be easily accessed and collected by reading and analyzing people’s interests, companies’ interest, tweets, likes, shares, etc. Instead, this twitter data is huge and collecting them manually will not help you put your strategic plans into action within your specified time-frame.

Use Of Twitter Scraping Tool

If you are a digital or social marketer, then you should consider Twitter scraping tool as the ultimate solution to fast and easy extraction of twitter data. Twitter scraper helps social marketers to track, collate, analyze, and put twitter data into formats appropriate for examination and business analysis. Social marketers can use this extracted twitter data to understand competitors’ strategy and users’ behavior, to make sentiment analysis, or to stay up-to-date with happenings across the world from the tweets and comments of people and businesses that matter to them. Furthermore look  benefits of Twitter data scraper for successful business in details.

Our service to scrape twitter followers is also enables sentiment analysis, brand monitoring, competitor monitoring, influencer marketing, and understanding customers, which cannot be, otherwise, achieved through manual data extraction. So, if you have a large volume of twitter data or profiles that you need to extract to make solid working strategies for your business plan? I recommend that you consider a professional Twitter data scraping service. This will enable you to easily and quickly scrape Twitter data – worldwide trends, hot topics, top news, etc. – from twitter social platform. And if you are in need of an affordable yet professional Twitter scraping tool, consult Infovium data scraping service. Infovium will help you with all your twitter data scraping needs right from the scattered volumes of twitter data available to the well-structured information that you want.

Quick Access of Properties Data from Rightmove UK

Rightmove Scraping

Nowadays, increasing urbanization has necessitated more access to properties and housing. Many families are in search of decent, safe, quality, and affordable properties that are within reach of where they play, study, shop, or work. Real estate business owner also need updated data for properties. For satisfied all these requirement quickly web scraping service is best. For collecting UK properties information Rightmove is one of good source and thus Rightmove scraping comes in market.

However, gone are the days of picking up real estate catalogues or listing at local stores. Everything has gone online including the real estate marketing and property sales industry. House and property hunting can now be easily done online as real estate and property websites contain a huge database of good and informative property information. One of such websites is Rightmove UK. Rightmove UK has a huge database of valid and accurate data on property information, such as property details, agent’s details, buyer and seller details, etc. Accessing this vast information will definitely help you to make a smart decision about buying or selling properties to generate maximum revenue.

Why Rightmove Scraping?

Those seeking properties information can easily visit Rightmove UK to manually extract data on housing properties. However, the manual option of extracting data from Rightmove UK is not only time-consuming but can also be a daunting task, which is not recommended for anyone looking for quick access to properties information from Rightmove UK. Hence, an alternative method of extracting data from Rightmove UK that is both quick and efficient has been the general consideration. One of these efficient methods is undoubtedly the Rightmove data scraper, which has proven to be best tool to extract useful property data from Rightmove UK.

What the Rightmove scraper does primarily is to extract the appropriate properties information from Rightmove UK and transform the unstructured property data, such as property/real estate listing, plot information, property rates, agent information, buyer and seller information, etc., into a structured format that allows for analytics. The Rightmove scraper also saves this property information in several different formats like CSV, HTML, XML, TXT, etc.

Rightmove data scraper comes in major ways – Do-It-Yourself data scraper and third-party data scraper. Though the DIY data scraping method seems like the easiest, cheapest, and most customized method of scraping Rightmove data, people without the right technical knowhow may have issues using this method. Property agents may end up wasting more time or not get the desired result with the DIY scraper. However, committing the scraping process into the hands of experts and well-experienced third-party data scrapers does not only bring about the needed efficiency but also enable the data to be scraped within the required timeframe.

Aside from scraping the basic properties information, third-party data scrapers would also extract the information of agents, value assessment providers, brokers, and legal terms for real estate business, etc. That is why it is recommended to hire a top-class Rightmove scraping service like Infovium web scraping company to extract properties information from Rightmove UK websites based on your preference.

Are you a property agent? Do you need a quick access to properties information from Rightmove UK? One of the trusted and professional Rightmove scraping services I can recommend is Infovium data scraping service. Check our Rightmove data scraper output sample file and predict about our service. Infovium web scraping company specializes in accessing, extracting, and processing properties information on Rightmove UK to give customers a quick access to the properties information necessary to understand the market values of housing properties in their chosen area.

7 Things that Keep in Mind before Choosing Web Scraping Service Provider

Choose Best Web scraping services provider

Web scraping service can help to meet your perfect need of data. All companies and businesses require some data for business analysis. Without analysis and market updating it is impossible to achieve great success in business. With help of proper database they can aware about competitors business, people trends, market condition and movement, price variation and more. Based on analysis improvement in business planning and strategy is made possible.

Why to Select Expertise Data Extraction Service Provider?

As stated above data is core part of business. Only collecting database is not enough accuracy and quality of that data is important. Main thing is to get required database. Suppose you are running hardware business then your potential customer is the builders and real estate owner that may need of your products. Database of all business owners is meaning less for you.

Here importance of experienced data scraping services provider come in to picture to collect target audience database. Expertise scraping services will first analyse your business, know about your business requirement and then provides you all possible way of data extraction. They know that from where to collect your required data and which is optimum and cost effective way.

What are Capabilities of Good Web Scraping Service?

• Solution for crawling blocks
• Way for fastest grabbing of data
• Avoid captcha or solving captcha
• Anonymous scraping website
• Avoid use of proxies or Cost effective proxies solution
• Maximum possible data extraction from website
• Avoid duplication of data

These all are capabilities are important to have as web scraping services provider. All scraping services are not able to solve all challenges. After years of experience and work they learn and become expertise. If you are looking for data extraction for your business then first identify proper scraping services provider. Then and then you can get fruitful data for your business. Fetching unnecessary database is waste of your time and money both. So concentrate while selecting scraping company for data requirement.

About us

Infovium web scraping services is leading data extraction services provider  and handling lots of project based on data scraping requirement from business directory, Ecommerce websites, Real estate listings, Airline website, Hotel and travel booking website, Healthcare website, Medical website, Educational site, Automobile websites and more. We provide our Data scraping services in USA, UK, India, France, Canada, Australia etc.


Source:https://infoviumwebscraping.com

Amazing advantages of Data Extraction Services

What is Data Extraction Services?

Data Extraction services provide best solution to gather bulk of data from web pages and websites by automated coding.

Extracting data is not enough! It extracts data, cleans it and delivers in required format. It is also familiar with Data scraping and web scraping services. Web scraping services convert unstructured data in to proper structure form. 

Advantages of Web data scraping services

• As data extraction services are automated data extracted by it is accurate and correct.
• Saves manpower and resources cost as no manual work is needed.
• Faster than other ways of gathering data.
• For bulk data collection one and only way is Data Extraction services.
• Changes in coding possible as per your need and suggested business data requirement

Almost all businesses rely on data for various purposes according to the type of their business.

Why business world demanding Data extraction services? Basic reply to this question is marketing. All types of business category have prime need of database for marketing their business. No one can achieve a big success without marketing. So marketing the business data is prime need for all for lead generation.

Other benefits of data extraction services are depend on type of business. Let take example of Ecommerce business that sell online products. Such business can take lot benefits of data scraping services

• For collecting product information like pricing, seller contact information, no of sell, shipping charges and more.
• To know about competitor’s business information.
• Aware about offers and discount by other so further policies can be made.
• Provide Data for Price comparison portal.
• Get idea about highly selling product it helps to know the trend in market.
• Analyse the customer behavior by scraping customer’s reviews and ratings.

Another example like Real estate business investor can take advantage of web scraping services efficiently

• Get properties information such as address, location, price, photos and more.
• To collect real estate brokers and agents contact details.
• Data for updating price comparison portal.
• Collecting properties listings from some popular real estate portal like Zillow, Trulia, Realtor and more for updating data on own real estate website.

There such large number of field that need web scraping services like Hotel and Travel business, Finance companies, Digital marketing agencies, Pharmaceutical industry, Automation industry and more.

Web scraping services also use for recruiting employees by collecting their profiles from job posting sites.

Analyse about social behaviour of people so called sentiment analysis data scraping services help to collect data from social networking sites such as Facebook, Twitter.

There are uncountable benefits of data extraction services for reaching business goal easily. Not possible to explain all.

Are you involved with business? Want to get big success? Need data for marketing? Then take advantage of Data scraping or extraction services. Definitely it is helpful to generate revenue for your business.

Source:  

https://penzu.com/p/51b84443