What social media data can AlterLab collect?

AlterLab can extract any publicly available social media content — posts, comments, profiles, engagement counts, hashtags, and timestamps from pages that are accessible without authentication. This includes public Reddit threads, public forum posts, public business profile pages, and public community pages. AlterLab does not bypass authentication or access private content.

Can AlterLab handle JavaScript-rendered social pages?

Yes. Most social platforms render content client-side using JavaScript. AlterLab automatically detects this and escalates to the appropriate scraping tier: Tier 2 ($0.001) for light JS rendering, Tier 4 ($0.004) for full headless browser execution. You do not configure this — the Smart Router handles it automatically based on the target URL.

How do I get structured JSON output from social pages?

Include `"formats": ["json", "markdown"]` in your API request. JSON output extracts structured data from schema markup when available. Markdown output is clean and token-efficient — ideal for feeding into LLM-powered analysis pipelines to extract sentiment, topics, or entities from unstructured social content.

Can I monitor brand mentions across public forums and communities?

Yes. Use the batch endpoint to periodically scrape public forum threads, community pages, and discussion boards. Extract new posts and comments, compare against your keyword list, and trigger alerts when brand mentions appear. AlterLab handles the extraction — your application logic handles the monitoring and alerting.

Is collecting public social media data legal?

The legality of scraping publicly available data depends on jurisdiction, the specific platform, how the data is used, and compliance with applicable laws. Courts have generally held that accessing publicly available data does not violate the CFAA, though the legal landscape continues to evolve. Always review each platform's terms of service, respect robots.txt directives, avoid collecting personal data without a lawful basis under GDPR or CCPA, and ensure your use complies with applicable privacy laws. AlterLab does not provide legal advice — consult qualified legal counsel for your specific use case.

What does social data collection at scale cost?

Static public pages cost $0.0002/request (Tier 1). JavaScript-rendered social pages typically cost $0.004/request (Tier 4). For a brand monitoring pipeline checking 1,000 public pages daily, costs run $0.20–$4.00/day depending on tier. Use the batch endpoint to process multiple URLs in parallel and reduce per-job latency.

public social data collectionbrand monitoring scrapingsocial analytics pipeline

Social Media Data API

Extract posts, comments, profiles, and engagement metrics from public social media pages and online communities. Structured JSON and markdown output for analytics, brand monitoring, and research pipelines. AlterLab handles JavaScript rendering automatically. From $0.0002/request.

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Extract Social Data in One API Call

Submit a public page URL, get structured content back. AlterLab handles JavaScript rendering automatically.

extract_social.py

import requests

# Extract public Reddit thread
response = requests.post(
    "https://api.alterlab.io/v1/scrape",
    headers={"X-API-Key": api_key},
    json={
        "url": "https://reddit.com/r/python/...",
        "formats": ["json", "markdown"],
    }
)

data = response.json()["data"]
# data["json"], data["markdown"]

monitor_brand.js

// Monitor brand across public communities
const response = await fetch(
  "https://api.alterlab.io/v1/batch",
  {
    method: "POST",
    headers: { "X-API-Key": apiKey },
    body: JSON.stringify({
      urls: communityPageUrls,
      formats: ["markdown"],
    })
  }
);

Building a Social Data Collection Pipeline

From public community pages to structured analytics data in four steps.

Identify Public Data Sources

Start with publicly accessible pages relevant to your monitoring or research goals: public Reddit subreddits, public forum threads, public community pages, review platforms, and public discussion boards. AlterLab only accesses pages that are publicly available without authentication — no private content or API credential bypass.

Automatic JavaScript Rendering

Social platforms typically render content client-side using JavaScript. AlterLab's Smart Router detects this automatically and escalates to the appropriate tier: Tier 2 for light JavaScript, Tier 4 (headless Chromium) for fully dynamic pages. You pay only for the tier required — no configuration needed on your end.

Extract Structured Content

Request JSON output for structured data from schema markup when available, or markdown output for clean text. Markdown is particularly effective for social content: it preserves post structure, strips navigation noise, and is token-efficient for downstream LLM processing. Use your LLM to extract sentiment, topics, brand mentions, and entities.

Monitor, Analyze, and Alert

Schedule batch collection jobs to check community pages on a regular cadence — hourly, daily, or weekly depending on your monitoring frequency. Compare new content against your keyword list, run sentiment analysis, and trigger downstream actions: database writes, Slack alerts, dashboard updates, or automated reports.

Social Media Data Use Cases

What research, analytics, and product teams build with AlterLab.

Brand Monitoring

Track brand mentions across public forums, communities, and discussion boards. Monitor sentiment trends and surface emerging issues before they escalate.

Competitor Intelligence

Monitor what users say about competitors across public review sites and community pages. Identify feature gaps, pricing complaints, and switching triggers.

Community Research

Collect public posts and discussions for qualitative research, user feedback analysis, or market sizing. Extract themes and pain points at scale.

Trend Detection

Monitor public community pages for emerging topics, viral content, and trend signals. Feed data into LLM pipelines to surface actionable insights.

Academic & Social Research

Collect publicly available social content for academic studies, linguistics research, or behavioral analysis. Clean markdown output integrates with NLP toolchains.

AI Training Datasets

Gather diverse public discussion data for fine-tuning conversational models, training sentiment classifiers, or building domain-specific knowledge bases.

Ethical & Legal Compliance

AlterLab provides infrastructure for extracting publicly available data. Users are responsible for ensuring their use case complies with applicable laws — including GDPR, CCPA, and any platform-specific terms of service. Only collect data from pages that are publicly accessible without authentication. When processing personal data, ensure you have a lawful basis under applicable privacy law. AlterLab does not provide legal advice — consult qualified legal counsel for your specific use case.