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 posts data fields are sent to Make?

All 30 output fields from the Twitter/X Posts scraper are included: id, user_posted, name, description, date_posted, photos, 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 posts into Make?

Each posts 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 Posts into Make

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

Step-by-step guide

Choose the Twitter/X Posts scraper

Navigate to the Twitter/X Posts 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 30 fields like id, user_posted, name, description. Route the data to any downstream app — CRMs, databases, email tools, and more.

Cost per record

1 credit

Output fields

30 fields

Destination

Make

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5

ACoAABcXYZ123

User Posted

@creativestudio

Name

Sarah Chen

Description

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

Date Posted

2025-12-15

Photos

sample_photos

Url

sample_url

Quoted Post

sample_quoted_post

Tagged Users

sample_tagged_users

Replies

Reposts

1,000

Likes

34,108

Views

344,860

External Url

sample_external_url

Hashtags

#buildinpublic#startup#engineering

Followers

28,401,080

Biography

sample_biography

Posts Count

2,998

Profile Image Link

sample_profile_image_link

Following

278

Is Verified

Yes

Quotes

1,000

Bookmarks

1,000

Parent Post Details

sample_parent_post_details

External Image Urls

sample_external_image_urls

Videos

sample_videos

External Video Urls

sample_external_video_urls

Verification Type

sample_verification_type

User Id

sample_user_id

Context Added

sample_context_added

Data Dictionary

30 fields returned per record

ID of the post (100.00% fill rate)

Username of the post owner (100.00% fill rate)

Name of the post owner (100.00% fill rate)

Post text description (99.09% fill rate)

Post publication date (100.00% fill rate)

URLs of attached photos (35.64% fill rate)

URL of the post (100.00% fill rate)

Quoted post details (99.78% fill rate)

Sub-fields

post_idTextQuoted post ID

profile_idTextQuoted post profile ID

profile_nameTextQuoted post profile name

data_postedTextQuoted post date posted

urlTextQuoted post URL

descriptionTextQuoted post description

photosArrayQuoted post photos URLs

videosArrayQuoted post videos URLs

Tagged profiles from the post (36.44% fill rate)

Sub-fields

profile_idTextTagged user profile ID

profile_nameTextTagged user profile name

urlTextTagged user profile URL

biographyTextTagged user biography

followingNumberNumber of accounts the tagged user follows

followersNumberNumber of followers of the tagged user

profile_imageTextTagged user profile image URL

Number of replies (100.00% fill rate)

Number of reposts (100.00% fill rate)

Number of likes (100.00% fill rate)

Number of views (80.45% fill rate)

External URL from a post (24.90% fill rate)

Hashtags from the post (30.37% fill rate)

Number of followers of the profile (99.88% fill rate)

Bio of the profile (93.28% fill rate)

Number of profile's posts (99.88% fill rate)

Profile Image link (99.87% fill rate)

Number of profiles the user follows (99.88% fill rate)

Is the user verified (78.48% fill rate)

Number of times the post was quoted (99.83% fill rate)

The number of times the post was bookmarked (99.83% fill rate)

Parent post details (99.64% fill rate)

Sub-fields

post_idTextParent post ID

profile_idTextParent post profile ID

profile_nameTextParent post profile name

date_postedTextOriginal post publication date

The URL for the images attached to the post (8.87% fill rate)

Videos attached to the post (16.40% fill rate)

Sub-fields

video_urlTextURL of the video

durationNumberDuration of the video in milliseconds

External video URLs (2.06% fill rate)

Sub-fields

video_urlTextExternal video URL

durationNumberDuration of the external video

Verification type (48.87% fill rate)

The user ID (79.19% fill rate)

Context added by the readers (0.41% fill rate)

Frequently Asked Questions

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

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No code requiredAuto-delivery to Make30 data fields