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Home/Use Cases/Data Products

Use Case

Build your data product on Scrapernode instead of building scrapers

Stop spending 70% of your time maintaining scraping infrastructure. Scrapernode's API handles proxies, anti-detection, and parsing so you can focus on the product your customers actually pay for.

Start building your data productView pricing

The Problem

Challenges teams face without Scrapernode

Scraper maintenance is the whole job

You spend 60-70% of your time maintaining scrapers instead of building the product. Every platform update means debugging, patching, and redeploying.

Unpredictable proxy costs

Residential proxy pricing is per-GB. A spike in traffic or a change in page size can double costs overnight. Budgeting is impossible.

Scaling is a project in itself

Your self-built scrapers work for 100 profiles/day but break at 10,000. Scaling requires queue management, rate limiting, and retry logic you haven't built yet.

Months to market

You had the idea 6 months ago. You've spent 5 months building scraping infrastructure. The actual product — the UI, the API, the marketing — is still an afterthought.

The Solution

How Scrapernode solves this

Eliminate the scraping layer

Replace your entire scraping infrastructure — proxies, anti-detection, result parsing, retry logic — with a single API call. Focus 100% on the product.

Predictable unit economics

Credits have a fixed per-result cost. Calculate exactly: 500 customers x 100 profiles/month = 50,000 results = Scale pack ($999/mo). Clean margin modeling.

Multi-platform from day one

Launch with all 11 platforms immediately — social, B2B, and review sites. Scrapernode's unified response format means your frontend works the same regardless of platform. No more 'LinkedIn only' MVPs.

Example Workflows

Copy these n8n patterns to get started in minutes

On-demand customer enrichment

Your product's API receives an enrichment request from a customer, routes it through Scrapernode, and returns structured results.

  1. 1

    Webhook trigger

    Customer requests enrichment via your product's API

  2. 2

    Detect platform

    Auto-detect platform from the submitted URL

  3. 3

    Scrapernode scrape

    POST /api/jobs/create with the appropriate scraper

  4. 4

    Transform

    Map Scrapernode results into your product's data schema

  5. 5

    Store and respond

    Write to your database and return results to the customer

Nightly batch pipeline

Processes all pending enrichment requests from the day in a single batch run.

  1. 1

    Schedule trigger

    Runs every night at midnight

  2. 2

    Fetch pending requests

    Pull all unenriched records from your database

  3. 3

    Batch scrape

    Chunk into groups of 100 URLs, run Scrapernode jobs for each batch

  4. 4

    Update records

    Write enriched data back to your database

  5. 5

    Alert

    Slack notification with pipeline stats

Recommended Scrapers

The scrapers most relevant to this use case

in

Profiles

LinkedIn · 2 credits / row

in

Companies

LinkedIn · 2 credits / row

ig

Profiles

Instagram · 1 credits / row

tk

Profiles

TikTok · 1 credits / row

𝕏

Profiles

Twitter/X · 1 credits / row

yt

Channels

YouTube · 1 credits / row

fb

Profiles/Posts

Facebook · 1 credits / row

cb

Companies

Crunchbase · 2 credits / row

gd

Companies

Glassdoor · 2 credits / row

in

Job Listings

Indeed · 1 credits / row

gh

Repositories

GitHub · 2 credits / row

yp

Business Profiles

Yelp · 1 credits / row

yp

Business Reviews

Yelp · 1 credits / row

Integrations

Connect your scraped data to your favorite tools

Google Sheets

Google Sheets

Auto-sync results to spreadsheets

Webhooks

Real-time delivery to any endpoint

REST API

Programmatic access for developers

n8n

n8n

Connect to 1000+ apps

CSV/JSON

Download in standard formats

Frequently Asked Questions

Common questions about Data Products