Don’t bother with a StackShare scraper. Get a fresh dataset.

If you're thinking about a StackShare scraper, consider getting a ready-to-use StackShare dataset, instead. Save time and resources with extensive and continuously refreshed data. To scrape StackShare data, your company will need to build and maintain scraping tools, which also often encounter anti-scraping solutions.

Data points	Example values
Title	Machine Learning Engineer
Location	San Francisco, CA, US
Remote	true
Tools	Dream-framework, hadoop
Company name	Pinterest
Company stack URL	https://stackshare.io/companies/pinterest
Jobs count	1
Stack list count	1
Team count	1
Followers count	1

[
	{
		"doc": {
			"id": "10123174356123460685005971",
			"name": "OnGraph Technologies Private Limited",
			"description": "We provide software design and development services for iPhone/iPad, Android, Mac and complete Web solutions.",
			"website_url": "http://www.ongraph.com/",
			"jobs_count": 0,
			"stacks_list_count": 1,
			"team_count": 1,
			"followers_count": 1,
			"stacks": [
				{
					"id": "101231775425433563939333405",
					"name": "JavaScript",
					"url": "https://stackshare.io/javascript"
				},
				{
					"id": "1012543563177323456410696721",
					"slug": "github",
					"name": "GitHub",
					"url": "https://stackshare.io/github"
				}
			],
			"github_repos": [],
			"company_members": []
		}
	},
	{
		"doc": {
			"id": "101223453171172345636926147",
			"name": "Graylog",
			"description": "Graylog is a fully integrated platform for collecting, indexing, and analyzing.",
			"website_url": "http://graylog.com",
			"location": "514 Henderson Street, Houston, TX 77007, USA",
			"jobs_count": 0,
			"stacks_list_count": 1,
			"team_count": 1,
			"followers_count": 503,
			"stacks": {
				"id": "1012317753234562423669807419",
				"name": "Docker",
				"url": "https://stackshare.io/docker"
			},
			"github_repos": [],
			"company_members": []
		}
	}
]

What is StackShare data?

Our StackShare data consists of the following datasets: StackShare Companies and StackShare Tools. StackShare data is a great technographic data source, containing information about companies’ tech stacks. This data can be used to make tech stack-related decisions for market research, investment, or lead generation.

Download the full sample to check our data structure and dictionary.

Unique StackShare dataset features

Global coverage

Our StackShare dataset contains 218K+ data records covering locations from across the globe.

Fresh data

Our StackShare datasets are updated on a monthly basis, keeping the data fresh and ready-to-use.

Historical data

We can offer over 30 months of historical StackShare data for an even more in-depth analysis.

Why are datasets better than scrapers?

Features	Datasets	Scrapers
Simple to use
Stable deliver and formats
Cost-effective*
Historic changes
Data collection and expertise required
Real-time data

*if going for large volumes of data

Enhance your sales and marketing strategies

Scraped StackShare data allows businesses to build more personalized campaigns when approaching specific leads. Analyzing the tech stacks of companies you’re targeting gives you insights into what tools they might be lacking.

A blue and purple image of a computer with a blue and purple arrow.

A 3D graphic of a dollar sign and a magnifying glass.

Extract actionable insights

Technographic data allows companies to extract actionable insights about popular technologies that might interest specific companies. This information is usually needed for sales and marketing teams, but insights about companies’ tech stacks are also used for market research or investment intelligence.

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Why do 500+ companies choose Coresignal?

Always fresh datasets

At Coresignal, the datasets are always fresh. That’s why you don’t need to bother with scrapers anymore.

Dedicated account managers

Our dedicated account managers will always be there to help you navigate the data world.

Responsible data collection

We believe in ethical data collection. Therefore, you won’t have to worry about data compliance issues.

Data at scale

Our extensive data coverage will cover all your data-related needs.

Stable service

We take care of all data collection issues. All you need to do is use it.

Reliable and convenient delivery

We deliver data in JSON, CSV, and HTML. Choose what’s best for you.

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