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 Yelp business reviews data fields are sent to Make?

All 17 output fields from the Yelp Business Reviews scraper are included: review_id, business_id, business_name, url, Review_author, profile_pic_url, and more. The full payload is sent as structured JSON — no fields are filtered out.

Can I schedule recurring Yelp 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 Yelp business reviews into Make?

Each business reviews 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.

YelpMake

How to Scrape Yelp Business Reviews into Make

Extract business reviews data from Yelp and pipe into Make automatically

Step-by-step guide

Choose the Yelp Business Reviews scraper

Navigate to the Yelp Business Reviews 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 Yelp input URLs

Paste the Yelp 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 17 fields like review_id, business_id, business_name, url. Route the data to any downstream app — CRMs, databases, email tools, and more.

Cost per record

1 credit

Output fields

17 fields

Destination

Make

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5

Review Id

sample_review_id

Business Id

sample_business_id

Business Name

Blue Bottle Coffee

Url

sample_url

Review Author

sample_Review_author

Profile Pic Url

sample_profile_pic_url

Rating

1,000

Date

sample_Date

Date Iso Format

sample_date_iso_format

Content

sample_Content

Review Image

sample_Review_image

Reactions

sample_Reactions

Replies

sample_Replies

Review Order

1,000

Elite Status

sample_elite_status

Check In Status

sample_check_in_status

Recommended Review

Yes

Data Dictionary

17 fields returned per record

Unique identifier for the review (100.00% fill rate)

Unique identifier for the business being reviewed (100.00% fill rate)

Name of the business being reviewed (100.00% fill rate)

URL of the review page (100.00% fill rate)

Information about the review author (100.00% fill rate)

Sub-fields

nameTextReview author name

urlTextAuthor profile URL

locationTextAuthor location

reviews_countNumberAuthor total reviews count

friends_countNumberAuthor friends count

photos_countNumberAuthor photos count

URL of the reviewer's profile picture (95.50% fill rate)

Star rating given by the reviewer (1-5 stars) (100.00% fill rate)

Date when the review was posted (100.00% fill rate)

Review date in ISO format (100.00% fill rate)

The full text content of the review (99.80% fill rate)

Array of image URLs attached to the review (35.20% fill rate)

Array of reactions to the review (useful, funny, cool) (80.50% fill rate)

Sub-fields

typeTextReaction type (useful, funny, cool)

countNumberReaction count

Array of replies from business owner or other users (15.30% fill rate)

Sub-fields

textTextReply text

dateTextReply date

authorTextReply author

Order or position of the review on the page (100.00% fill rate)

Elite status of the reviewer (e.g., 'Elite 2024') (25.40% fill rate)

Check-in information for the reviewer at this business (18.60% fill rate)

Whether this is a recommended review (100.00% fill rate)

Frequently Asked Questions

Common questions about How to Scrape Yelp Business Reviews into Make

Ready to connect Yelp data to Make?

Start extracting yelp business reviews data and pipe into Make in minutes.

Go to Yelp Business Reviews scraper Browse all integration guides

No code requiredAuto-delivery to Make17 data fields