What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in linkedin scraping tools category. Our data sources in linkedin scraping tools category include;
LinkedIn scrapers, or LinkedIn scraping tools, are software or script used to access and extract publicly available data from LinkedIn, including LinkedIn profiles, job listings and LinkedIn search results data. LinkedIn scraping tools help users extract the following data points:
To be categorized as a LinkedIn scraper a product must provide an:
AIMultiple is data driven. Evaluate 7 services based on
comprehensive, transparent and objective AIMultiple scores.
For any of our scores, click the information icon to learn how it is
calculated based on objective data.
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We use the data sources on the side for ranking solutions and awarding badges in linkedin scraping tools category. Our data sources in linkedin scraping tools category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
Apify
Bright Data Web Scraper IDE
Phantombuster
Lyne.ai
Linked Helper
Taking into account the latest metrics outlined below, these are the current linkedin scraping tools market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
Apify
Phantombuster
Bright Data Web Scraper IDE
Lyne.ai
Linked Helper
These are the number of queries on search engines which include the brand name of the solution. Compared to other Data categories, LinkedIn Scraping Tools is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 100%, 24% more than the average of search queries in this area.
5 employees work for a typical company in this solution category which is 16 less than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 2 companies with >10 employees are offering linkedin scraping tools. Top 3 products are developed by companies with a total of 559 employees. The largest company building linkedin scraping tools is Bright Data with more than 400 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
Bright Data Web Scraper IDE
Apify
Phantombuster
Lyne.ai
Linked Helper
We have analyzed reviews published in the last months. These were published in 4 review platforms as well as vendor websites where the vendor had provided a testimonial from a client whom we could connect to a real person.
These solutions have the best combination of high ratings from reviews and number of reviews when we take into account all their recent reviews.
This data is collected from customer reviews for all LinkedIn Scraping Tools companies. The most positive word describing LinkedIn Scraping Tools is “Easy to use” that is used in 1% of the reviews.
According to customer reviews, most common company size for linkedin scraping tools customers is 1-50 Employees. Customers with 1-50 Employees make up 74% of linkedin scraping tools customers. For an average Data solution, customers with 1-50 Employees make up 40% of total customers.
These scores are the average scores collected from customer reviews for all LinkedIn Scraping Tools. LinkedIn Scraping Tools is most positively evaluated in terms of "Overall" but falls behind in "Likelihood to Recommend".
This category was searched on average for 390 times per month on search engines in 2022. This number has decreased to 369 in 2023. If we compare with other data solutions, a typical solution was searched 1k times in 2022 and this increased to 1.2k in 2023.