Extract posts, profiles, hashtags, engagement metrics, comments, followers, and audience insights from 50+ social media platforms. Structured, validated, and delivered as your social media scraping solution of choice.
Profile name + bio + URL
Extracted ✓Post content + media URLs
Extracted ✓Likes, shares, comments
Extracted ✓Hashtags + mentions
Extracted ✓Follower / following count
Extracted ✓Post timestamp + frequency
Extracted ✓Comment text + reactions
Extracted ✓Location tags + geo data
Extracted ✓Typical delivery
24–48 hrsSocial platforms supported
Data accuracy rate
Posts extracted monthly
Fastest refresh cycle
Social media data scraping services are the automated extraction of publicly available data from social media platforms — including post content, engagement metrics, profile information, hashtags, comments, follower counts, and audience demographics. Our social media scrapers collect this data at scale and deliver it as structured, analysis-ready datasets.
Extracting social media data powers brand monitoring, influencer discovery, competitor intelligence, sentiment analysis, social listening research, academic studies, and AI model training. Instead of relying on limited official APIs or manual monitoring, our social media web scraping infrastructure captures the full breadth of publicly available content across platforms.
From scraping social media platforms for a one-time research snapshot to maintaining a continuously updated social data feed via API, our social media scraping solution adapts to your technical infrastructure, use case, and compliance requirements.
Our social media web scraping tools and infrastructure cover every major network — from short-form video and photo sharing to professional networks, forums, review sites, and messaging-adjacent public platforms.
Pages, Posts, Groups
Posts, Reels, Profiles
Tweets, Profiles, Trends
Pins, Boards, Profiles
Public Stories, Spotlight
Posts, Profiles, Replies
Posts, Feeds, Profiles
Toots, Instances, Profiles
Photos, Albums, Groups
Posts, Pages, Groups
Posts, Profiles, Trends
India – Regional Social
Videos, Channels, Comments
Videos, Profiles, Hashtags
Short-form Video
Short-form Video
Videos, Channels, Stats
Streams, Clips, Channels
Videos, Channels
India Short-form
SEA Short-form Video
Videos, Channels
Profiles, Posts, Companies
Org Data, Job Posts
Profiles, Repos, Stars
Articles, Authors, Claps
Newsletters, Posts
Portfolios, Projects
Shots, Designers
Startups, Investors
Slack Communities
Public Server Data
Posts, Comments, Subreddits
Q&A, Profiles, Topics
Q&A, Tags, Users
Communities, Q&A
Archived Q&A
Public Boards
Posts, Comments
Products, Reviews, Votes
Public Channels
B2B Community India
Brand Reviews
Software Reviews
Software Reviews
Company Reviews
Employer Reviews
Local Business Reviews
Travel & Hospitality
Local Business
India Consumer Reviews
India Employer Reviews
Product Posts, Shops
Products, Live Commerce
Shoppable Pins
Product Listings
Handmade Products
Creator Pages, Tiers
Creator Profiles
India Social Commerce
India Video Commerce
Product Integrations
Our social media scraping tools capture every publicly available data point across posts, profiles, communities, and engagement signals.
Username, display name, bio, profile URL, follower count, following count, post count, verification status, account creation date, and linked website.
Post text, media type (image / video / carousel), media URLs, post URL, publish timestamp, language, tagged accounts, and post category or topic.
Like count, comment count, share / retweet count, save count, view count, reaction breakdown, engagement rate calculation, and reach estimates where available.
All hashtags used per post, @mentions, trending topic data, keyword frequency by date range, co-occurrence patterns, and campaign hashtag tracking.
Comment text, commenter username, comment timestamp, reply threads, reaction counts per comment, and comment sentiment signals — structured for NLP analysis.
Geo-tagged post locations, location names, country / city data from profiles, language of posts, and audience origin signals available from public profile data.
From defining your data needs to a validated, structured social data feed — five focused steps.
Target platforms, accounts, hashtags, keywords, date ranges, and output schema agreed upfront.
Platform-specific social media scrapers built with session rotation, rendering support, and rate-safe crawling.
Every field validated for completeness, encoding accuracy, and duplicate deduplication before release.
Secure delivery via CSV, JSON, Excel, S3, or a live social media data API endpoint.
Platform changes auto-detected. Scrapers rebuilt proactively — your social data feed stays live and accurate.
Structured social data is strategic intelligence. Here's what marketing teams, researchers, and data scientists do with it.
Track brand mentions, product sentiment, competitor share of voice, and crisis signals across all social platforms in real time. Our social media scraping solution delivers the raw data that social listening dashboards are built on — without API rate limits.
Extract social media data on follower counts, engagement rates, content topics, audience demographics, and posting frequency across Instagram, TikTok, YouTube, and Twitter to build and vet influencer shortlists at scale.
Social media text data — posts, comments, and replies across platforms and languages — is the primary training corpus for sentiment classifiers, toxicity detectors, trend prediction models, and social AI assistants. Our scrapers deliver labeled, clean datasets at the scale AI teams need.
Monitor competitor social strategy, content performance, campaign activity, and audience growth trends. Research teams use scraped social media data to build consumer trend reports, category analyses, and demand forecasting models grounded in real public behaviour.
Social media data scraping services power decisions in any industry where public opinion, content trends, or digital behaviour matter.
Build social listening dashboards, track campaign performance across platforms, monitor hashtag reach, and report on share of voice — all powered by scraped social data.
Monitor brand sentiment, detect PR crises early, benchmark competitor engagement, and track product feedback across Reddit, Twitter, Instagram, and beyond — in real time.
Track breaking news signals, monitor viral content, identify emerging narratives, and verify social media claims with structured, timestamped post data from multiple platforms.
Researchers use social media web scraping to study online behavior, political discourse, misinformation spread, community formation, and language evolution at large scale.
Train sentiment classifiers, toxicity filters, trend detectors, and multilingual NLP models using large-scale, structured social content datasets from our scraping infrastructure.
Quantitative funds and investment analysts use social sentiment signals — Reddit discussion volume, Twitter mentions, and LinkedIn job postings — as alternative data inputs for trading and due diligence models.
Our social media scrapers go far beyond what official APIs offer — without the rate limits, restricted endpoints, or field limitations.
Official social media APIs restrict field access, historical depth, and request volume. Our scraping solution bypasses these constraints to deliver the full public dataset.
Extract social media data in any language. We support geo-targeted scraping for region-specific content — including India-specific platforms like ShareChat, Josh, and Moj.
For brand monitoring and crisis detection use cases, we offer near-real-time data feeds — capturing posts, mentions, and trending signals as they happen.
Social platforms update frequently. Our team monitors all scrapers 24/7 and rebuilds extractors when platform structures change — your feed never goes dark.
Social media data scraping services are the automated collection of publicly available data from social media platforms — including posts, profiles, hashtags, engagement metrics, comments, follower counts, and trending topics. The data is extracted at scale, cleaned, structured, and delivered as analysis-ready datasets for marketing intelligence, AI training, academic research, and competitive analysis.
A social media scraper is a purpose-built data extraction tool or service that systematically collects publicly accessible information from social media platforms. Unlike official social media APIs — which are limited by rate caps, restricted fields, and short historical windows — social media scrapers capture the full breadth of public data available on a platform's web interface, delivering richer and more complete datasets.
Extracting publicly accessible data from social media platforms — content visible to any visitor without logging in — is generally considered lawful in most jurisdictions, consistent with the hiQ v. LinkedIn ruling (9th Circuit, 2022) which affirmed that publicly available web data does not enjoy the same protections as private data. Our social media web scraping approach targets only public-facing content and does not access private messages, hidden profiles, or any data requiring authentication. We advise clients to seek independent legal counsel for jurisdiction-specific or use-case-specific guidance, particularly around personal data and GDPR compliance.
Official social media APIs restrict the fields returned, limit historical data access to short windows, cap daily request volumes, and often exclude key data points like comments, engagement breakdowns, or full hashtag reach. Our social media scraping tools collect directly from platform web interfaces — delivering fuller datasets, deeper historical coverage, and no arbitrary field restrictions. This is especially valuable for platforms that have deprecated or severely restricted their APIs, such as Twitter/X and Reddit.
We support 50+ platforms including major social networks (Instagram, Facebook, X/Twitter, TikTok, Pinterest, Threads), video platforms (YouTube, Twitch, Vimeo), professional networks (LinkedIn, GitHub), forums (Reddit, Quora, Stack Overflow), review sites (Trustpilot, G2, Glassdoor, Google Reviews), and India-specific platforms (ShareChat, Josh, Moj, Simsim). If your target platform is not on our list, we build a custom extractor within 3–5 business days.
Yes. For most platforms, our social media scrapers can access historical post data going back months or years — far beyond what official APIs permit. Historical depth varies by platform and content type. We advise on realistic historical coverage for your target platforms during scoping, and deliver historical datasets as a one-time export or as part of an ongoing monitoring feed.
We deliver data in CSV, JSON, Excel (XLSX), and JSONL formats for NLP pipelines. For ongoing social monitoring needs, we offer a live social media data API endpoint, cloud storage delivery via Amazon S3 or SFTP, and webhook integration into your existing BI tools or data warehouse. Custom schema mapping is available to match your existing data structure.
Organizations use social media data to understand customer sentiment, identify emerging trends, monitor brand perception, track competitors, and discover new market opportunities. By analyzing large volumes of public conversations and engagement signals, businesses can make faster, data-driven decisions and gain insights that are difficult to obtain through traditional research methods alone.
Yes. Public social media data is widely used for natural language processing (NLP), sentiment analysis, trend forecasting, content classification, recommendation systems, and AI model training. WebDataInsights delivers structured datasets in formats suitable for analytics and machine learning workflows, helping teams accelerate research and development initiatives.
Delivery timelines depend on the target platforms, data volume, historical requirements, and project complexity. Smaller data extraction projects can often be completed within a few days, while large-scale or custom requirements may take longer. During the discovery phase, WebDataInsights provides a clear timeline and delivery plan based on your specific objectives.
Tell us which platforms, accounts, and data fields you need. We'll deliver a free structured sample dataset within 48 hours — no commitment required.
Get a custom quote within 15 minutes.