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There is no single best social media scraper in 2026. The right choice depends on the network, surface, fields, scale, export format and permissions your project requires. Apify’s February 9, 2026 roundup names ten purpose-specific Actors, from Instagram and TikTok collectors to sentiment, lead and Meta Ad Library workflows. It is a vendor-authored catalog rather than an independently tested ranking, so treat the list as a starting point and verify each live Actor before production use.
How to choose before you run a scraper
Start with the data question, not the brand name. Define the platform and surface (for example, Instagram profiles, TikTok hashtags, YouTube channels, Facebook comments or Meta ads), then write down the exact fields you need. A tool that returns post URLs and engagement counts may not provide comment text, transcripts, audience data or downloadable media.
Use these decision checks
- Platform and content: identify the network, profile, post, video, Reel, hashtag, comment or ad surface.
- Fields: confirm whether outputs are text, counts, timestamps, links, metadata or media, and whether each field is consistently available.
- Inputs and scale: check whether the Actor accepts URLs, hashtags, search terms, names or domain lists, plus current limits and run behavior.
- Integration: compare JSON, CSV, Excel or HTML exports with APIs, SDKs, webhooks and your existing analysis pipeline.
- Operations: review update history, support and maintenance because interface and policy changes can break collection.
- Total cost: include Actor usage, compute, storage, proxies and data transfer. Run a representative small job before forecasting spend.
- Permission: confirm platform terms, privacy duties, retention limits and rights to reuse collected material.
Test an authorized, low-volume job first. Record the input, timestamp, fields returned, failures and effective cost so you can detect changes later.
The Tool Desk
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The order below follows practical use cases, not a claim that one Actor is universally superior. Capabilities are described by Apify and can change; check the current Actor page before relying on a field or limit.
#1 Best Overall
1. Instagram Scraper
Apify describes this Actor as collecting information about Instagram posts, profiles, places, hashtags, photos and comments. Inputs are submitted through a schema, and results can be downloaded as Excel, JSON or CSV or connected to analysis and large-language-model workflows.
Choose it when Instagram is your primary source and you need several content types in one workflow. Confirm which fields are available for the specific target and whether comments, media or profile details are returned for every input.
2. TikTok Data Extractor
This workflow is described as collecting trending hashtags, videos, profiles and engagement metrics such as comments, shares, followers and likes. A hashtag, search query or URL can serve as the starting input.
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It fits trend discovery and account or video analysis. Define whether you need current counts, historical snapshots or the underlying comments; those are different data requirements and should not be assumed from a listing.
3. Facebook Comments Scraper
Apify says this Actor extracts comments and replies from public Facebook posts, videos, photos and Reels, with likes, timestamps and basic public profile information. The description mentions JSON, CSV, Excel and HTML plus APIs, SDKs, webhooks and app integrations.
Verify the live output for each Facebook surface and geography. A public page does not automatically grant permission for automated collection or downstream reuse.
4. YouTube Scraper
The roundup describes collecting video views, likes, subscribers and channel-performance information. It also points to separate Actors for YouTube comments, search, channels, statistics and Shorts.
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Use the general scraper when channel or video metrics are enough; select a specialized comment, search or Shorts Actor when that surface is the actual requirement. Check whether the returned values are current snapshots and which URL types are accepted.
5. Social Media Hashtag Research
This cross-platform tool is described as finding posts that share a hashtag on TikTok, Instagram, Facebook and YouTube. Possible fields include URLs, captions, timestamps, likes, views and comment counts.
It is useful for campaign discovery across networks, but normalize platform-specific metrics before comparing them. A view or like is not necessarily defined the same way on every service.
6. Social Media Leads Analyzer
Apify describes starting with lead website URLs and looking up linked social profiles across networks. Outputs may include profile names and activity measures; contact information may appear when it is published on the lead’s own website.
Lead enrichment involving personal data needs a separate privacy and permission review. Minimize fields, document the source and purpose, set a retention period and avoid treating a social match as proof of identity.
7. Social Media Sentiment Analysis Tool
This workflow combines comment collection from Facebook, Instagram and TikTok with positive, negative or neutral classification. The labels are model outputs, not established ground truth: the reviewed description provides no independent validation of accuracy.
Use it for triage or directional analysis, retain the original text for audit, and sample results for human review. Sarcasm, slang, mixed languages and quoted speech can produce misleading labels.
8. Social Media Finder
The roundup describes searching a probable person or profile name for links across Facebook, LinkedIn, YouTube, TikTok, Instagram, Pinterest, Threads, Twitch and other services.
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Because the description does not establish identity accuracy or completeness, treat matches as leads for verification rather than confirmed identities. Do not infer that an absent result means a person has no account.
9. Facebook (Meta) Ads Scraper
This Actor is described as collecting Meta Ad Library information and filtering by brand, keyword, country, language, media type, status and format. The roundup lists creative, copy, calls to action, impressions, spend and audience insights among possible data.
Verify what each ad and geography actually exposes. Do not assume every listed field is present for every campaign, and preserve the country and date filters with your dataset.
10. Instagram Reels Scraper
Apify describes collecting public Reel data from profile or Reel URLs, including engagement counts, timestamps, captions, transcripts, hashtags, mentions, tagged users, music information and video downloads.
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Cost, reliability and maintenance
Actor pricing is not a fixed market rate. Apify says usage depends on the individual Actor and job; compute, storage, proxy use and data transfer can add costs. Third-party price snapshots can become stale. Estimate a representative run with the same input size, depth, proxy configuration and output retention you expect in production.
No independent cross-tool uptime, accuracy or performance comparison is established here. Platform redesigns, rate limits, login requirements and policy changes can alter results. Keep a small regression set of authorized URLs, schedule it after updates and alert on missing fields, sudden volume changes or elevated failures.
Permissions and platform rules
“Public” describes visibility, not blanket authorization. Facebook Help Center materials distinguish potentially authorized from unauthorized scraping depending on whether collection violates service terms. Meta’s Automated Data Collection Terms require express written permission before automated collection and impose additional use restrictions. X’s Automation rules, updated April 2026, state: “Do not use non-API-based forms of automation, such as scripting the >x< website.”
Meta Product Management Director Mike Clark wrote in the Meta Newsroom on April 15, 2021: “Using automation to get data from Facebook without our permission is a violation of our terms.” Rules differ by platform, data type, user, jurisdiction and purpose. Obtain legal and privacy advice for your situation; a scraper’s technical ability is not a legal authorization.
Best Value
A safe implementation workflow
- Specify the job: write the platform, URL or query inputs, fields, date range, volume and business purpose.
- Read current terms: review the platform rules, the Actor description and any authentication or permission requirements.
- Run a small sample: use authorized targets and save raw output, logs, timestamps and configuration.
- Validate fields: check null rates, duplicate records, pagination, timestamps, language and media availability.
- Control data: minimize collection, restrict access, encrypt storage where appropriate and define deletion dates.
- Scale cautiously: estimate combined Actor, compute, proxy, storage and transfer costs before scheduling recurring jobs.
- Monitor change: alert on schema changes, authentication errors, blocked requests and unusual result counts.
Troubleshooting common failures
Empty or partial results
Possible causes include an unsupported URL type, deleted or restricted content, pagination limits or a changed page layout. Recheck the Actor’s current schema, test one known-authorized URL and compare the raw response with the parsed dataset.
Authentication or permission errors
Stop retries until you confirm that the account, token and collection purpose are allowed. Repeated automation against a blocked surface can worsen the restriction and may violate platform rules.
Unexpected fields or schema changes
Pin your downstream parser to documented field names, preserve raw records and add alerts for new or missing keys. Treat a successful HTTP response as insufficient evidence that the data is complete.
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Reduce the sample, depth or retention window, then rerun with production-like settings. Check proxy, compute, storage and transfer charges in addition to the Actor’s own usage.
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FAQ
What is the best Facebook scraping tool?
There is no universal winner. The Facebook Comments Scraper is the listed purpose-specific option for comments and replies, while the Meta Ads Scraper targets Ad Library data. Verify permissions, fields and current limits for your use case.
How do I extract YouTube data?
Select the YouTube Actor that matches your surface—general video or channel metrics, comments, search, statistics or Shorts—then test its current input schema and output on an authorized sample.
Is social media scraping legal?
There is no universal answer based only on visibility. Platform terms, express permissions, privacy law, jurisdiction, data type and intended use determine the risk. Obtain case-specific advice before collection.
Quick Recap
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