B2B Hiring Signals, Tech Stack & Buying Intent (Clay Ready)
Pricing
from $5.00 / 1,000 results
Scrape real-time B2B job postings from LinkedIn, Greenhouse & Lever to extract 120+ tech stack tools, active buying signals, opportunity scores (0-100), sales pitch angles, buyer personas & multi-language cold email icebreakers (EN/ES/PT/DE/FR) for Clay, Make, n8n & Apollo.
You can access the B2B Hiring Signals, Tech Stack & Buying Intent (Clay Ready) 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 API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "searchKeywords": [10 "Revenue Operations",11 "Data Engineer",12 "Salesforce",13 ],14 "locations": [15 "United States",16 "United Kingdom",17 "Spain",18 ],19 "targetAtsSlugs": [20 "stripe",21 "cloudflare",22 ],23}24
25# Run the Actor and wait for it to finish26run = client.actor("silver_petalfall/b2b-hiring-signals-tech-stack-scraper").call(run_input=run_input)27
28# Fetch and print Actor results from the run's dataset (if there are any)29print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")30for item in client.dataset(run.default_dataset_id).iterate_items():31 print(item)32
33# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use B2B Hiring Signals, Tech Stack & Buying Intent (Clay Ready) API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: