7 Best Data Extractors in 2026

Social feeds are gold mines. LinkedIn profiles, Instagram bios, X posts—they hold the signals that fuel prospecting, research, and reporting. But digging through them manually? That's where time goes to die.

A data extractor does the heavy lifting. It pulls profiles, posts, comments, and engagement metrics from social networks, websites, and apps, then hands you clean, structured data ready for your CRM or spreadsheets. Think profile names, job titles, company info, post text, timestamps—all mapped to a schema you can actually use.

When you're picking a tool, focus on accuracy, how well it handles rate limits, and whether it respects platform rules. The best extractors capture data reliably, deduplicate records, enrich what's missing, and plug straight into your storage or BI systems. For sales teams juggling 20 to 50 people, you need something that scales without turning into a full-time job to maintain.

Why These 7 Data Extractors Stand Out

1. folk CRM + folkX

Rating: ⭐⭐⭐⭐⭐ (G2)

folk centralizes your contacts, conversations, and deals. folkX—the Chrome extension—captures LinkedIn, X, and Instagram profiles in one click, enriches them automatically, and pushes clean records straight into your pipeline. Roles, company details, recent activity—it's all there, ready for outreach.

This setup works especially well for mid-sized sales teams. You're not drowning in complexity, but you're also not stuck manually copying data into spreadsheets.

What works:

• One-click profile capture from LinkedIn, X, and Instagram with auto-enrichment

• AI Fields normalize roles and companies for cleaner reporting

• WhatsApp and email threads attach to contacts for full context

• Bulk import, deduplication, and simple views to segment and export

What doesn't:

• Niche workflows may need Zapier or Make for extra connectors

Pricing:

• Standard: $20 per member/month (annual billing)

• Premium: $40 per member/month (annual billing)

• Custom: Starting at $80 per member/month (annual billing)

👉 Start capturing social profiles and syncing them directly into your sales pipeline

2. Instant Data Scraper

Rating: ⭐⭐⭐⭐⭐ (Chrome Store)

This Chrome extension detects lists and tables on a page and turns them into exportable rows. It's fast, it's simple, and it doesn't require code. If the page structure is accessible, you can pull follower tables, profile lists, or search results in seconds.

What works:

• One-click capture of visible lists and tables

• Auto-pagination and infinite-scroll handling for larger pulls

• Exports to CSV with basic field mapping

• Fast prototyping before committing to heavier tools

What doesn't:

• Struggles with dynamic, app-like pages

• Limited anti-bot handling—stick to rate limits and site rules

• Not built for complex workflows or scheduled jobs

Pricing:

• Free (Chrome extension)

3. Phantombuster

Rating: ⭐⭐⭐⭐ (G2)

Phantombuster runs prebuilt agents—"Phantoms"—that pull profiles, posts, comments, and follower lists from LinkedIn, Instagram, and X. The data lands in CSV or Google Sheets. No code, no manual copy-paste.

What works:

• Catalog of Phantoms for common social searches and actions

• Scheduler, auto-pagination, and CSV export for repeatable pulls

• Webhooks and Sheets sync to keep results flowing

• Basic deduping and throttling to reduce noise and blocks

What doesn't:

• You must respect platform terms, privacy rules, and rate limits

• UI changes on social sites can break recipes until updated

• High volumes may need proxies and tighter throttling

Pricing:

• Starter: from $56/month (annual billing)

• Pro: from $128/month (annual billing)

• Team: from $352/month (annual billing)

4. Apify

Rating: ⭐⭐⭐⭐ (G2)

Apify runs ready-made scrapers and custom "Actors" to extract profiles, posts, comments, and website data at scale. The output—JSON or CSV—flows to your storage and BI tools. Schedulers, queues, and proxy rotation keep long runs stable.

If you need to turn social and web sources into reliable, structured rows with repeatable jobs, Apify handles it. When you're managing data extraction at volume, tools like 👉 Octoparse offer similar no-code flexibility with point-and-click scrapers for teams that want to avoid heavy scripting.

What works:

• Large store of prebuilt scrapers for major social and web sources

• Schedulers, webhooks, datasets, and storage integrations

• Anti-blocking options and proxy management reduce fails on long runs

• Build custom Actors when a niche target isn't in the store

What doesn't:

• Heavier runs still need basic scripting or Actor configuration

• Costs can climb on very high workloads without quotas and alerts

• Site layout changes can break recipes until updated

Pricing:

• Free: $0 with monthly platform credits for testing

• Starter: $39/month (+ usage)

• Scale: $199/month (+ usage)

• Business: $999/month (+ usage)

• Annual billing available with discounts

5. Web Scraper

Rating: ⭐⭐⭐⭐ (G2)

Web Scraper lets non-developers point-and-click a sitemap, crawl lists and profile pages, and export clean rows to CSV or JSON. The Chrome extension handles pagination and infinite scroll. The Cloud runner schedules jobs, stores datasets, and syncs to Sheets.

What works:

• Visual sitemap builder for lists, detail pages, and pagination

• Handles infinite scroll and lazy-loaded elements on many sites

• Cloud runner for scheduling, larger crawls, datasets, and exports

• Selectors for links, text, attributes, and element groups keep fields consistent

What doesn't:

• App-like or highly dynamic pages may need fine-tuning and delays

• Blocks and rate limits still apply—compliance and pacing matter

• Very custom logic benefits from a more programmable platform

Pricing:

• Chrome extension: Free

• Cloud: Paid plans with crawl credits; annual billing available

6. ParseHub

Rating: ⭐⭐⭐⭐ (G2)

ParseHub uses a visual selector to capture lists and profile details, handle pagination and infinite scroll, and export CSV or JSON. Build the extractor in the desktop app, run it on a schedule in the cloud, and sync results to spreadsheets.

What works:

• Visual selector for lists, detail pages, pagination, and infinite scroll

• Handles logins and JavaScript-heavy pages with waits and steps

• Cloud scheduling, concurrency, and run history for repeatable jobs

• Consistent field mapping with CSV and JSON exports

What doesn't:

• Very dynamic sites may need careful timing and extra steps

• Anti-bot rules and rate limits still apply—pacing and compliance matter

• Complex logic is easier on a fully programmable platform

Pricing:

• Free plan for small projects

• Paid plans add higher run limits, scheduling, and parallel jobs

• Annual billing available on paid tiers

7. Octoparse

Rating: ⭐⭐⭐⭐ (G2)

Octoparse lets non-developers click to capture lists, profile pages, and search results, then export clean CSV or JSON. Build in the desktop app, run in the cloud with scheduling and concurrency, and keep results flowing to spreadsheets or storage. Pagination and infinite scroll are handled automatically.

What works:

• Point-and-click selector for lists and detail pages

• Handles pagination, infinite scroll, and basic logins

• Cloud runs with scheduling, queues, and run history

• CSV and JSON exports with consistent field mapping

Pricing:

• Check Octoparse's website for current plans

The Bottom Line

Data extraction only matters when the results land cleanly in your stack and stay usable at scale. Social signals from LinkedIn, X, and Instagram become valuable once they're mapped to a stable schema and synced to your CRM.

For mid-sized sales teams—20 to 50 people—folk CRM + folkX leads the pack. One-click capture, automatic enrichment, and a workspace that turns research into structured contacts and pipeline. Phantombuster automates repeat social pulls, Apify handles larger web jobs with schedulers and proxies, and Octoparse or ParseHub cover no-code projects.

The right pairing keeps your inputs accurate, cuts down manual work, and powers faster outreach and reporting.

Common Questions

What is social data extraction?
It pulls profiles, posts, comments, follower lists, and metadata from platforms, then maps them to structured fields—names, roles, companies, engagement, timestamps—for use in spreadsheets, BI, or CRM.

Is social media scraping legal?
It depends on platform terms and local laws. Use consent where required, respect rate limits, avoid prohibited data, and throttle requests. Official APIs or tools that enforce compliance are safer bets.

What features should a data extractor have?
Accurate capture, schema control, deduplication, enrichment, rate-limit handling, scheduling, and direct integrations to storage and CRM. For sales teams, add field normalization and simple views for segmenting and export.

How do you send extracted social data to a CRM?
Map fields to the CRM schema, deduplicate, enrich missing details, then sync via native connector, webhook, or CSV import. Tools like folkX push one-click captures into folk with normalized roles and companies.