7 Best Data Extractors in 2025

The gold is buried in social feeds. Profiles, bios, posts, comments, followers, and DMs on LinkedIn, Instagram, and X, hold the signals that power prospecting, research, and reporting.

A data extractor pulls those signals from sources like social networks, websites, PDFs, and SaaS apps, then returns structured fields you can use immediately. Think profile names, roles, company info, emails when available with consent, post text, engagement metrics, and timestamps mapped to a clean schema and ready for CRM or spreadsheets.

Selection centers on accuracy, schema control, rate-limit handling, and compliance. Favor tools that capture reliably from major social platforms, deduplicate and enrich records, respect terms and privacy, and connect directly to storage, BI, and AI CRM with minimal upkeep.

7 Best Data Extractors: Features, Pricing, Rating

1. folk CRM + folkX

Rating

⭐⭐⭐⭐⭐ (G2)

Overview

folk centralizes contacts, conversations, and deals while folkX captures profiles and company data from LinkedIn, X, and Instagram in one click, enriches fields automatically, and pushes clean records into pipeline, which fits data extraction because social signals turn into structured contacts with roles, company details, and recent activity ready for outreach.

Pros

• One click profile capture from LinkedIn, X, and Instagram with automatic enrichment
• AI Fields normalize roles, companies, and notes for cleaner reporting
• WhatsApp and email threads attach to contacts for full context
• Bulk import, deduplication, and simple views to segment and export

Cons

• Niche workflows may need Zapier or Make

Pricing

• Standard: $20 per member per month billed annually
• Premium: $40 per member per month billed annually
• Custom: Starting at $80 per member per month billed annually

👉 Try folk CRM for free

2. Instant Data Scraper

Rating

⭐⭐⭐⭐⭐ (Chrome Store)

Overview

Chrome extension that detects lists and tables on a page and turns them into rows for export, which fits data extraction because social profile lists, follower tables, and search results can be captured quickly without code when the page structure is accessible.

Pros

• 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 way to prototype a schema before heavier tooling

Cons

• Dependent on page DOM; dynamic/app-like pages may need manual tweaks
• Limited anti-bot handling; respect rate limits and site rules
• Not built for complex workflows or scheduled jobs

Pricing

• Free (Chrome extension)

3. Phantombuster

Rating

⭐⭐⭐⭐ (G2)

Overview

Phantombuster runs ready made agents that pull profiles, posts, comments, and follower lists from LinkedIn, Instagram, and X, then ships clean rows to CSV or Sheets; it fits data extraction because social research turns into structured leads and activity logs without code or manual copy paste.

Pros

• 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 into the stack
• Basic deduping and throttling to reduce noisy data and blocks

Cons

• Must respect each platform’s 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 per month billed annually
• Pro: from $128 per month billed annually
• Team: from $352 per month billed annually

4. Apify

Rating

⭐⭐⭐⭐ (G2)

Overview

Apify runs ready-made scrapers and custom “Actors” to pull profiles, posts, comments, follower lists, and website data at scale, then delivers clean JSON or CSV to storage and BI. Schedulers, queues, and proxy rotation keep long runs stable. It fits data extraction because social and web sources turn into reliable, structured rows with repeatable jobs instead of manual copy-paste.

Pros

• Large store of prebuilt scrapers for major social and web sources
• Schedulers, webhooks, datasets, and storage integrations for clean handoffs
• Anti-blocking options and proxy management reduce fails on long runs
• Build custom Actors when a niche target isn’t in the store

Cons

• 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: discount available; effective rate shown at checkout

5. Web Scraper

Rating

⭐⭐⭐⭐ (G2)

Overview

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, which fits data extraction because social lists and profile details on LinkedIn, Instagram, and X turn into structured tables without code.

Pros

• 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

Cons

• App-like or highly dynamic pages may need fine-tuning and delays
• Blocks and rate limits still apply; compliance and pacing are essential
• 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)

Overview

ParseHub lets a non-developer select elements on a page, capture lists and profile details, handle pagination and infinite scroll, and export clean CSV or JSON. Build the extractor in the desktop app, run it on a schedule in the cloud, and sync results to spreadsheets, which fits data extraction because social lists, search results, and profile pages turn into structured tables without code.

Pros

• 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

Cons

• 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)

Overview

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, which fits data extraction because social and web pages become structured rows at scale without code while pagination and infinite scroll are handled by the crawler.

Pros

• 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

Cons

• Very dynamic pages may need careful waits and retries
• Site layout changes can break recipes until updated
• Heavy custom logic is easier on a programmable platform

Pricing

• Standard: from $75 per month billed annually
• Professional: from $209 per month billed annually
• Enterprise: custom options for higher volumes

Best Data Extractors in 2025: Final Recap!

👉 Try folk CRM for free

Conclusion

Data extraction only works when results land cleanly in the stack and stay usable at scale. Social signals from LinkedIn, X, and Instagram become real value once profiles, roles, companies, and activity map to a stable schema and sync to CRM.

For this job, folk CRM + folkX leads. One click capture, automatic enrichment, and a simple workspace turn 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 inputs accurate, reduces manual work, and powers faster outreach and reporting.