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 GitHub repositories data fields are sent to Make?

All 20 output fields from the GitHub Repositories scraper are included: url, id, code_language, code, num_lines, user_name, and more. The full payload is sent as structured JSON — no fields are filtered out.

Can I schedule recurring GitHub 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 GitHub repositories into Make?

Each repositories record costs 2 credits. 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.

GitHubMake

How to Scrape GitHub Repositories into Make

Extract repositories data from GitHub and pipe into Make automatically

Step-by-step guide

Choose the GitHub Repositories scraper

Navigate to the GitHub Repositories scraper in Scrapernode. Select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 2 credits.

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 GitHub input URLs

Paste the GitHub 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, id, code_language, code. Route the data to any downstream app — CRMs, databases, email tools, and more.

Cost per record

2 credits

Output fields

20 fields

Destination

Make

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5

Url

sample_url

ACoAABcXYZ123

Code Language

sample_code_language

Code

sample_code

Num Lines

1,000

User Name

James K.

User Url

sample_user_url

Size

51-200

Size Unit

sample_size_unit

Size Num

1,000

Breadcrumbs

sample_breadcrumbs

Num Issues

1,000

Num Pull Requests

1,000

Num Projects

1,000

Num Fork

1,000

Num Stared

1,000

Last Feature

sample_last_feature

Latest Update

sample_latest_update

Website Url

sample_website_url

License

sample_license

Data Dictionary

20 fields returned per record

Repository web address (100.00% fill rate)

Unique repository ID (100.00% fill rate)

Main programming language used in the repository (79.55% fill rate)

Repository source code files (86.22% fill rate)

Sub-fields

file_nameTextName of the source code file

file_pathTextPath to the file in the repository

file_contentTextContent of the source code file

Total lines of code in the repository (100.00% fill rate)

Repository owner's username (100.00% fill rate)

Owner's GitHub profile URL (100.00% fill rate)

Repository size with units (100.00% fill rate)

Repository size measurement units (KB, MB, GB) (100.00% fill rate)

Repository size as a numeric value (100.00% fill rate)

Repository navigation path and hierarchy (100.00% fill rate)

Sub-fields

nameTextBreadcrumb navigation element name

urlTextURL of the breadcrumb navigation element

Total count of issues in the repository (100.00% fill rate)

Total count of pull requests (100.00% fill rate)

Number of associated GitHub projects (100.00% fill rate)

Number of times the repository has been forked (100.00% fill rate)

Number of stars the repository has received (100.00% fill rate)

Description of the latest feature or change (99.98% fill rate)

Date of the most recent repository update (99.99% fill rate)

Repository website URL from the About section (72.75% fill rate)

Repository license information (99.83% fill rate)

Sub-fields

nameTextLicense name

urlTextURL to the license details

Frequently Asked Questions

Common questions about How to Scrape GitHub Repositories into Make

Ready to connect GitHub data to Make?

Start extracting github repositories data and pipe into Make in minutes.

Go to GitHub Repositories scraper Browse all integration guides

No code requiredAuto-delivery to Make20 data fields