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Scrape LinkedIn profiles by search term. Extract Google Maps business listings and reviews. Collect Facebook pages, groups and posts. Scrape Instagram profiles, reels and comments. Extract TikTok posts and creator profiles. Collect YouTube channels and video data. Scrape X / Twitter profiles and posts. Extract Indeed job listings and salaries. Collect Yelp business reviews and ratings.
Home/Integrations/How to Scrape TrustRadius Reviews into n8n
TrustRadiusn8n

How to Scrape TrustRadius Reviews into n8n

Extract reviews data from TrustRadius and send to n8n automatically

Step-by-step guide

1

Choose the TrustRadius Reviews scraper

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

2

Set up your n8n connection

Install the Scrapernode community node from the n8n node library, or use the generic Webhook trigger node with your Scrapernode webhook URL. Configure the workflow to process incoming scraper data.

3

Provide your TrustRadius input URLs

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

4

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.

5

Receive data in n8n

When the job completes, Scrapernode sends the full results to your n8n workflow. Each record includes 25 fields like url, product_id, product_name, review_id. Route the data to any downstream app — CRMs, databases, email tools, and more.

Cost per record

1 credit

Output fields

25 fields

Destination

n8n

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5
Url
sample_url
Product Id
sample_product_id
Product Name
sample_product_name
Review Id
sample_review_id
Review Url
sample_review_url
Review Title
sample_review_title
Review Rating
1,000
Review Date
sample_review_date
Review Author
sample_review_author
Author Position
sample_author_position
Author Company Name
sample_author_company_name
Author Company Industry
sample_author_company_industry
Author Company Size
sample_author_company_size
Author Labels
sample_author_labels
Author Experience Years
1,000
Review Text
Incredible food and atmosphere. The tasting menu was a perfect blend of innovation and comfort.
Review Summary
sample_review_summary
Likelihood To Recommend
sample_likelihood_to_recommend
Pros Cons
sample_pros_cons
Product Rating
1,000
Product Reviews Count
1,000
Product Url
sample_product_url
Usability Rating
1,000
Return On Investment
sample_return_on_investment
Input Url
https://www.linkedin.com/in/sarahchen

Data Dictionary

25 fields returned per record

TrustRadius product review page URL (100.00% fill rate)

Unique product identifier from the URL (100.00% fill rate)

The name of the product being reviewed (100.00% fill rate)

Unique identifier for each review (100.00% fill rate)

URL of the full review (100.00% fill rate)

The title of the review (100.00% fill rate)

Star rating of the review (1-10) (100.00% fill rate)

Date when the review was submitted (99.97% fill rate)

Name of the reviewer (56.24% fill rate)

Position/role of the review author (56.02% fill rate)

Company where the author works (56.05% fill rate)

Industry of the author's company (63.36% fill rate)

Size category of the author's company (63.39% fill rate)

Reviewer type and verification status labels (99.96% fill rate)

Years of experience of the reviewer (62.14% fill rate)

Full text of the review (100.00% fill rate)

Summary of the review (95.32% fill rate)

Reviewer's likelihood to recommend the product (99.05% fill rate)

List of pros and cons mentioned (20.52% fill rate)

Overall product rating on TrustRadius (100.00% fill rate)

Total number of reviews for the product (100.00% fill rate)

TrustRadius product page URL (100.00% fill rate)

Usability sub-rating (0.23% fill rate)

Reviewer's assessment of ROI (0.41% fill rate)

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

Frequently Asked Questions

Common questions about How to Scrape TrustRadius Reviews into n8n

Ready to connect TrustRadius data to n8n?

Start extracting trustradius reviews data and send to n8n in minutes.

Go to TrustRadius Reviews scraperBrowse all integration guides
No code requiredAuto-delivery to n8n25 data fields