How do I connect Make to Scrapernode?

Use Make's webhook trigger to receive data from Scrapernode. Copy the webhook URL from Make and paste it into Scrapernode's webhook settings for the scraper. Each completed job sends results automatically.

What VentureRadar companies data fields are sent to Make?

All 20 output fields from the VentureRadar Companies scraper are included: url, name, location, country_code, ownership, score, and more. The full payload is sent as structured JSON — no fields are filtered out.

Can I schedule recurring VentureRadar scrapes to Make?

Yes. Use Make's scheduling features to trigger Scrapernode scrapes on a recurring basis via the REST API. You can also set up Make to process results as they arrive via webhooks.

How much does it cost to scrape VentureRadar companies into Make?

Each companies record costs 1 credit. Credits start at $9 for 3,000 credits (Starter plan). The Make integration itself is included free — no additional charges for data delivery.

What happens if the Make delivery fails?

Your scraped data is always stored in Scrapernode regardless of the integration status. If delivery to Make fails, you can re-trigger the sync or download results manually as CSV or JSON from the job details page.

VentureRadarMake

How to Scrape VentureRadar Companies into Make

Extract companies data from VentureRadar and pipe into Make automatically

Step-by-step guide

Choose the VentureRadar Companies scraper

Navigate to the VentureRadar Companies scraper in Scrapernode. Select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 1 credit.

Set up your Make connection

Create a new Make scenario with a Webhook trigger module. Copy the webhook URL into Scrapernode's webhook settings. Use Make's built-in JSON parser to map scraper fields to downstream modules like "Create Spreadsheet Row" or "Send Email".

Provide your VentureRadar input URLs

Paste the VentureRadar URLs you want to scrape — one per line, or upload a CSV. Scrapernode accepts direct profile links, search result URLs, and content pages.

Launch the scraping job

Click "Start Extraction" to begin. Scrapernode handles proxy rotation, rate limiting, and anti-bot detection automatically. Jobs typically complete in under 60 seconds per batch.

Receive data in Make

When the job completes, Scrapernode sends the full results to your Make workflow. Each record includes 20 fields like url, name, location, country_code. Route the data to any downstream app — CRMs, databases, email tools, and more.

Cost per record

1 credit

Output fields

20 fields

Destination

Make

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5

Url

sample_url

Name

Sarah Chen

Location

San Francisco, CA

Country Code

Ownership

sample_ownership

Score

1,000

Auto Analyst Score

1,000

Website Popularity

sample_website_popularity

Website Popularity Graph

1,000

Founded

2025-12-15

Employees

Array [2]

Object {2}

name:"Lisa Su"

role:"CEO"

Object {2}

name:"Mark Papermaster"

role:"CTO"

Funding

$45M Series B

Title

How We Scaled to 1M Users

Description

Enterprise-grade data pipeline platform with real-time processing and 99.99% uptime SLA.

Description Source

sample_description_source

Website

https://stripe.com

Technologies

sample_technologies

Data Dictionary

20 fields returned per record

The URL of the company profile (100.00% fill rate)

The name of the company (98.04% fill rate)

Physical location or address (74.85% fill rate)

Country code where the company is located (0.00% fill rate)

Ownership structure of the company (57.73% fill rate)

Popularity/innovation score (99.66% fill rate)

Automatically generated analyst score (46.91% fill rate)

Website popularity indicator (49.73% fill rate)

Website popularity trend value (34.33% fill rate)

Year the company was founded (68.45% fill rate)

Number of employees (55.32% fill rate)

Total funding raised (42.14% fill rate)

Company title or tagline (28.67% fill rate)

Brief description of the company (63.59% fill rate)

Source of the company description (63.58% fill rate)

Official company website (90.92% fill rate)

Technologies used by the company (45.23% fill rate)

Business categories (72.14% fill rate)

Similar companies (39.58% fill rate)

Sub-fields

countryTextCountry of the similar company

descriptionTextDescription of the similar company

nameTextName of the similar company

urlTextVentureRadar URL of the similar company

The URL that was entered when starting the scraping process (100.00% fill rate)

Frequently Asked Questions

Common questions about How to Scrape VentureRadar Companies into Make

Ready to connect VentureRadar data to Make?

Start extracting ventureradar companies data and pipe into Make in minutes.

Go to VentureRadar Companies scraper Browse all integration guides

No code requiredAuto-delivery to Make20 data fields