Scrape LinkedIn Data – LinkedIn Data Extraction Services

LinkedIn is a hub of useful businesses-related information like other websites. Scrape LinkedIn data to get well-organized and structured data specific to your business needs. Use this data for specific business actions to accelerate business processes. Compare your and competitors’ data to strategize your moves.

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FEATURED IN
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About LinkedIn

LinkedIn is a social networking platform specifically designed for the business community. This platform is used for researching companies, hiring managers, recruiters, influencers, and conducting surveys & opinion polls. Several companies use this platform to deliver information to people. At the same time, it also enhances the information further needed to contact the leads. You can get a list of all potential leads by scraping LinkedIn profiles.

Scrape LinkedIn Data

LinkedIn data scraping is vital to extract essential data relevant to the business. Several users use this method to bring transformation to their businesses. If you are looking for the same, we are your perfect solution. Get data scraped from LinkedIn pages and profiles. These data are saved in a single-screen output for easy delivery. Streamline your business process using our accurate and relevant data.

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Data Fields

  • Profiles
  • Listed Jobs
  • Posts
  • Job Search based on Keywords and Filters
  • Company Data based on keywords
  • Industries Based on Location
  • Contact List
  • Business List

Use Cases

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Extract LinkedIn Post Data Based on Hashtags and Keywords

Hashtags allow LinkedIn to emphasize topics that matter a lot to users. It directly creates a great user experience. Hashtags increase your LinkedIn circle by notifying both your networks and outside networks to pay attention to your updates, like them, and finally, leave a comment. With iWeb Data Scraping, get LinkedIn post data and keywords scraped and boost the brand awareness of your businesses.

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Extract Job Data Based on Company, Experience, and Posted Date

LinkedIn is the most effective channel for hiring. The report says that people hired through LinkedIn have less than a 30% chance of quitting their job within six months. An effective LinkedIn job scraper can easily scrape job data. Our tailored-made web scraper works effectively to scrape job-related data from LinkedIn. Get data extracted as per the company, experience, and posted date. With us, keep your hiring procedure automated.

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Extract Company Data Based on Industry, Location, and Keywords

Extracting the LinkedIn company’s URL was never easy before. We can easily scrape multiple companies’ data on LinkedIn in no time. Besides this, our crawler can scrape data from location, industry, and keywords. Whether you are looking for LinkedIn companies IDs or want to maximize your campaign potential, seek our professional service to scrape social media websites for email ids, contact numbers, and other details.

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Extract People Data Based on Company, Title, and Keywords

We scrape huge amounts of LinkedIn people data based on company, title, and keywords. Speed up your search prospects for prospective clients or employees with our automated easy-to-read relevant data. Extract nearly 100 accounts in a single session based on your requirements.

Features

Optimized

We use rotated proxy IP addresses to avoid getting blocked.

Scalable

Our scraping solution can capture massive data.

Dynamic

Upto date to cope with changes in the market whenever needed

Comprehensive

Secured algorithms and set up to avoid data loss

Fast

5x faster than conventional data scrapers

Translation Capabilities

Our data scrapers can capture data from any language and give output in an asked language like English.

Process

Interaction

We have developed a long-term connection between our business team and potential customers.

Consultation

Our business team consulted potential customers by exchanging expert advice and required information.

Evaluation

Our team analyzes and identifies the business needs of potential customers.

Execution

Once potential customers confirm the demand with our team, we start executing the process after getting the basic needs for the project.

Disposition

After compiling the data, our team smoothly hands it over to the customer.

Exceed Expectation

We Build long-term bonding with our clients by serving them and exceeding their expectations.

Why Choose iWeb Data Scraping?

Unlimited Data Serving

Our company has no threshold for serving a particular number of requests or extracting specific data fields.

Fully Tailored

We extract the data as per the client's requirement at all stages.

No More Blockages

We use proxy IP addresses and random delays between two requests with the capability to solve the captcha in real-time.

Master in Domain

We are proud to serve more than 300+ clients within two years with our expert team.

Assured Quality

We are fully devoted to working on Quality and consistency to deliver the best.

Frequently Asked Questions

Web scraping is possible in multiple languages like PHP, .Net, HTML, Java, CSS, and Python. We generally use python as a core language, but we also use other languages as per customer demand.

We don't deal with adult sites, financial sites which include personal data of the audience like credit card and bank details, and platforms having high levels of sensitive data for security reasons.

Yes, definitely. You can hire us as your dedicated web data scraper team if your requirements are in bulk with regular scraping frequency. That team will handle complete end-to-end operations involved in data extraction, like code development, monitoring, quality assurance, maintenance, data delivery, and many more.

If you can provide us with the account registered on the targeted website to extract the data shown behind your login, we can scrape the data as usual. However, there are restrictions.

It is not required; we do the data extraction entirely on our cloud servers. You must provide us with the websites and data fields you want to scrape.

Yes, our scrapers are scalable enough to handle large quantities of data with decided frequency.

We usually submit the data in usable formats like CSV, Excel, XML, and JSON files.

We use rotational proxy IP addresses so that IP addresses don't send scrape requests again.

Yes, we respect maintaining privacy and security with our clients. So we do sign a Non-Disclosure Agreement.

Yes, we have a dedicated team to support our customers with technical issues when they operate on their end.

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