Pricing

from $4.00 / 1,000 results

Built In Startup Scraper — Tech Stack, Industries, HQ

Scrape startup company profiles from BuiltIn.com — tech stack, industries, headquarters city/state/country, employee size, founded year, perks, open positions, and related companies. Pick a sector preset (SaaS, Fintech, AI/ML, eCommerce, Gaming, Crypto) or paste your own URLs.

Pricing

from $4.00 / 1,000 results

Rating

0.0

(0)

Developer

Berkan Kaplan

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Categories

Lead generation

You can access the Built In Startup Scraper — Tech Stack, Industries, HQ programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "presetDepth": 2,
10    "companyNames": [
11        "Notion",
12        "Datadog",
13        "Asana",
14    ],
15    "companyUrls": [],
16    "maxResults": 100,
17    "maxConcurrency": 10,
18    "proxyConfiguration": {
19        "useApifyProxy": True,
20        "apifyProxyGroups": [],
21    },
22}
23
24# Run the Actor and wait for it to finish
25run = client.actor("foxlabs/builtin-intelligence").call(run_input=run_input)
26
27# Fetch and print Actor results from the run's dataset (if there are any)
28print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
29for item in client.dataset(run["defaultDatasetId"]).iterate_items():
30    print(item)
31
32# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Built In Startup Scraper — Tech Stack, Industries, HQ API in Python

The Apify API client for Python is the official library that allows you to use Built In Startup Scraper — Tech Stack, Industries, HQ API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Built In Startup Scraper — Tech Stack, Industries, HQ API in JavaScript

Built In Startup Scraper — Tech Stack, Industries, HQ API through CLI

Built In Startup Scraper — Tech Stack, Industries, HQ OpenAPI definition

Built In Startup Scraper — Tech Stack, Industries, HQ API

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213

BuiltIn.com Tech Companies & Tech Stack Scraper

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nexgendata/sales-intelligence-mcp

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Extract thousands of tech job listings from Lagou.com (拉勾网), China's largest IT recruitment platform. Scrape salary ranges, tech stacks, company details, funding stages, and more from ByteDance, Alibaba, Tencent, Baidu, and 100,000+ Chinese tech companies. No browser needed — fast, cheap, scalable.

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jobo.world/crunchbase-company-lookup

Paste a list of Crunchbase organizations — URLs, slugs, or UUIDs — and get back structured JSON: funding, leadership, employees, news, acquisitions, tech stack, and more. Batch-friendly, fault-tolerant, every field comes with a documented fill rate so you know exactly what to expect.

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Levels.fyi Scraper

haketa/levels-fyi-scraper

Scrape verified tech compensation data from Levels.fyi. Extract total compensation, base salary, stock grants, bonuses, levels and vesting schedules for 3,000+ companies including Google, Meta, Amazon, Apple and Microsoft.

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H1B Visa Database Scraper | DOL Disclosure Salaries

haketa/h1b-visa-database-scraper

Scrape the US H1B Visa database (h1bdata.info) — public Department of Labor disclosure data. Per-employer, per-job, per-city, per-year salary records with submit/start dates. 8M+ approved cases since 2014. Critical for immigration attorneys, job seekers, recruiter intel.

Haketa