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 Twitter/X profiles data fields are sent to Make?

All 22 output fields from the Twitter/X Profiles scraper are included: x_id, url, id, profile_name, biography, is_verified, and more. The full payload is sent as structured JSON — no fields are filtered out.

Can I schedule recurring Twitter/X 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 Twitter/X profiles into Make?

Each profiles 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.

Twitter/XMake

How to Scrape Twitter/X Profiles into Make

Extract profiles data from Twitter/X and pipe into Make automatically

Step-by-step guide

Choose the Twitter/X Profiles scraper

Navigate to the Twitter/X Profiles 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 Twitter/X input URLs

Paste the Twitter/X 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 22 fields like x_id, url, id, profile_name. Route the data to any downstream app — CRMs, databases, email tools, and more.

Cost per record

1 credit

Output fields

22 fields

Destination

Make

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5

X Id

sample_x_id

Url

sample_url

ACoAABcXYZ123

Profile Name

sample_profile_name

Biography

sample_biography

Is Verified

Yes

Profile Image Link

sample_profile_image_link

External Link

sample_external_link

Date Joined

sample_date_joined

Following

278

Followers

28,401,080

Subscriptions

1,000

Location

San Francisco, CA

Birth Date

sample_birth_date

Posts Count

2,998

Posts

Array [1]

Object {2}

content:"Excited to share our Series B news!"

likes:847

Suggested Profiles

sample_suggested_profiles

Is Business Account

Yes

Is Government Account

Yes

Category Name

sample_category_name

Max Number Of Posts

1,000

Banner Image

https://media.licdn.com/dms/image/v2/banner.jpg

Data Dictionary

22 fields returned per record

Unique X id of each profile (100.00% fill rate)

Profile URL (100.00% fill rate)

ID of the post (99.37% fill rate)

Profile username (99.80% fill rate)

Bio of the profile (73.37% fill rate)

Is the user verified (100.00% fill rate)

Profile Image link (99.44% fill rate)

External link (40.07% fill rate)

Date where the profile joined Twitter (99.37% fill rate)

Number of profiles the user follows (100.00% fill rate)

Number of followers of the profile (100.00% fill rate)

Number of subscriptions of the profile (100.00% fill rate)

Profile location (49.71% fill rate)

Profile birth date (0.90% fill rate)

Number of profile's posts (100.00% fill rate)

Profile posts (12.83% fill rate)

Sub-fields

post_idTextPost ID

textTextPost text

dateTextPost date

likesNumberNumber of likes

retweetsNumberNumber of retweets

Suggested profiles (44.81% fill rate)

Sub-fields

nameTextSuggested profile name

handleTextSuggested profile handle

urlTextSuggested profile URL

Is the profile a business account (100.00% fill rate)

Is it a government account (100.00% fill rate)

Category names (4.79% fill rate)

Sub-fields

nameTextCategory name

urlTextCategory URL

The number of posts input from discovery (33.62% fill rate)

The profile's banner image (51.45% fill rate)

Frequently Asked Questions

Common questions about How to Scrape Twitter/X Profiles into Make

Ready to connect Twitter/X data to Make?

Start extracting twitter/x profiles data and pipe into Make in minutes.

Go to Twitter/X Profiles scraper Browse all integration guides

No code requiredAuto-delivery to Make22 data fields