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 Indeed job listings data fields are sent to Make?

All 27 output fields from the Indeed Job Listings scraper are included: jobid, company_name, job_title, description_text, location, country, and more. The full payload is sent as structured JSON — no fields are filtered out.

Can I schedule recurring Indeed 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 Indeed job listings into Make?

Each job listings 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.

IndeedMake

How to Scrape Indeed Job Listings into Make

Extract job listings data from Indeed and pipe into Make automatically

Step-by-step guide

Choose the Indeed Job Listings scraper

Navigate to the Indeed Job Listings 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 Indeed input URLs

Paste the Indeed 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 27 fields like jobid, company_name, job_title, description_text. Route the data to any downstream app — CRMs, databases, email tools, and more.

Cost per record

1 credit

Output fields

27 fields

Destination

Make

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5

Jobid

sample_jobid

Company Name

Notion Labs, Inc.

Job Title

Senior Product Manager

Description Text

sample_description_text

Location

San Francisco, CA

Country

sample_country

Region

sample_region

Date Posted

2025-12-15

Date Posted Parsed

sample_date_posted_parsed

Job Type

sample_job_type

Job Location

San Francisco, CA (Hybrid)

Salary Formatted

sample_salary_formatted

Benefits

Unlimited PTO, 401(k) match, health/dental/vision, $5k annual learning budget.

Qualifications

sample_qualifications

Description

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

Job Description Formatted

sample_job_description_formatted

Company Rating

1,000

Company Reviews Count

1,000

Company Link

sample_company_link

Domain

sample_domain

Apply Link

sample_apply_link

Url

sample_url

Logo Url

sample_logo_url

Is Expired

Yes

Srcname

sample_srcname

Discovery Input

sample_discovery_input

Shift Schedule

sample_shift_schedule

Data Dictionary

27 fields returned per record

Unique job identifier (100.00% fill rate)

Name of the hiring company (99.98% fill rate)

Title of the job position (100.00% fill rate)

Detailed job description (100.00% fill rate)

Job location (100.00% fill rate)

Country of job location (100.00% fill rate)

Job region or area (98.65% fill rate)

Date of job posting (100.00% fill rate)

Standardized date of job posting (3.12% fill rate)

Type of employment (full-time, part-time, etc.) (88.75% fill rate)

Whether the job is Remote, on-site, hybrid, etc. (99.82% fill rate)

Formatted salary range (41.49% fill rate)

Job benefits offered (46.84% fill rate)

Sub-fields

nameTextBenefit name

descriptionTextBenefit description

Required qualifications and skills (0.00% fill rate)

Sub-fields

typeTextQualification type (education, experience, skill)

textTextQualification description

Additional job description (100.00% fill rate)

Formatted job description (93.67% fill rate)

Company rating based on reviews (71.03% fill rate)

Number of company reviews (71.03% fill rate)

Link to company profile (97.41% fill rate)

Company website domain (100.00% fill rate)

Link to apply for the job (3.02% fill rate)

URL of the job listing (100.00% fill rate)

Company logo URL (64.65% fill rate)

Flag indicating job expiration status (99.96% fill rate)

Source of the job listing (2.66% fill rate)

Discovery input value (0.00% fill rate)

Sub-fields

keywordTextSearch keyword

locationTextSearch location

Shift and schedule information (49.95% fill rate)

Frequently Asked Questions

Common questions about How to Scrape Indeed Job Listings into Make

Ready to connect Indeed data to Make?

Start extracting indeed job listings data and pipe into Make in minutes.

Go to Indeed Job Listings scraper Browse all integration guides

No code requiredAuto-delivery to Make27 data fields