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Threads Search Scraper

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from $5.00 / 1,000 results

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Threads Search Scraper

Threads Search Scraper

Powerful Meta Threads search scraper for posts and users. Filter by keywords or usernames, export structured data for analytics, research, monitoring and reporting.

Pricing

from $5.00 / 1,000 results

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Developer

Sachin Kumar Yadav

Sachin Kumar Yadav

Maintained by Community

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2

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🧵 Threads Search Scraper

Extract Threads posts with comprehensive metadata, engagement metrics, and user information using advanced search capabilities. Perfect for social media analytics, content research, trend analysis, and competitive intelligence.

📋 Table of Contents

� Key Features

FeatureDescription
🔍 Advanced SearchSearch Threads posts by keywords with precision
📊 Sort OptionsSort results by relevance (top) or recency (recent)
👤 User FilteringFilter search results by specific user accounts
📱 Rich MetadataExtract complete post information, media, and engagement metrics
🎬 Media SupportGet video files, images, and thumbnails

Quick Start

  1. Open this actor on Apify and go to the Input tab
  2. Configure your search parameters in the input
  3. Run the actor and get structured Threads data in the Apify dataset
{
"searchQuery": "artificial intelligence",
"sort": "top",
"maxResults": 100
}

Input Parameters

ParameterTypeRequiredDefaultDescription
searchQueryStringYes-Keywords to search for in Threads posts
sortStringNo"top"Sort order: "top" (relevance) or "recent" (newest first)
fromUserStringNo-Filter results from specific username (without @)
maxResultsIntegerNo50Maximum number of posts to extract (1-1000)
enablePaginationBooleanNotrueEnable automatic pagination for more results

Search Query Tips

  • Keywords: Use relevant keywords like "AI technology", "climate change"
  • Phrases: Use quotes for exact phrases: "machine learning"
  • Multiple terms: Combine terms: "startup funding venture capital"
  • Trending topics: Search for hashtags: "#TechNews"

Output Data Structure

Each extracted thread contains comprehensive information:

Core Data Fields

FieldTypeDescription
successBooleanExtraction status indicator
search_queryStringOriginal search query used
sort_optionStringSort method applied
from_userStringUser filter applied (if any)

Thread Identifiers

FieldTypeDescription
thread_idStringUnique thread identifier
post_idStringPost ID for the thread
codeStringThread code for URL generation

Content Information

FieldTypeDescription
captionStringThread caption/text content
text_contentStringExtracted plain text content
thread_urlStringDirect link to the thread

Media Information

FieldTypeDescription
media_typeIntegerMedia type (1=image, 2=video, etc.)
has_audioBooleanWhether video has audio
video_versionsArrayAvailable video files and qualities
image_versionsArrayAvailable image sizes

User Information

FieldTypeDescription
user.idStringUser's unique identifier
user.usernameStringUsername (handle)
user.full_nameStringDisplay name
user.profile_pic_urlStringProfile picture URL
user.is_verifiedBooleanVerification status
user.is_privateBooleanAccount privacy setting

Engagement Metrics

FieldTypeDescription
like_countIntegerNumber of likes
comment_countIntegerNumber of comments
repost_countIntegerNumber of reposts
quote_countIntegerNumber of quote posts
reshare_countIntegerNumber of reshares

Timing Information

FieldTypeDescription
taken_atIntegerUnix timestamp of post
timestampStringISO formatted timestamp
fetched_atStringWhen data was extracted

Usage Examples

{
"searchQuery": "artificial intelligence",
"sort": "top",
"maxResults": 50
}
{
"searchQuery": "startup tips",
"fromUser": "elonmusk",
"sort": "recent",
"maxResults": 25
}
{
"searchQuery": "#TechNews OR #Innovation",
"sort": "recent",
"maxResults": 200,
"enablePagination": true
}

Competitive Research

{
"searchQuery": "product launch",
"sort": "top",
"maxResults": 100
}

Technical Details

API Integration

  • Service: Threads search API used internally by this actor
  • Endpoint: /search with advanced query parameters
  • Authentication: Handled internally via the actor’s configuration
  • Rate Limiting: Built-in throttling and queue management

Data Processing Pipeline

  1. Input Validation: Validate search parameters and sanitize inputs
  2. API Calls: Execute search requests with retry logic
  3. Data Extraction: Parse and structure response data
  4. Enrichment: Add metadata and computed fields
  5. Output: Save to structured dataset

Reliability Features

  • Automatic Retries: Exponential backoff for failed requests
  • Error Recovery: Graceful handling of API limitations
  • Data Validation: Ensure data quality and completeness

Performance & Limits

MetricSpecification
Max Results per Run1,000 posts
Request Timeout30 seconds
Retry Attempts3x
Pagination SupportAutomatic
Concurrent RequestsLoad balanced

Error Handling

Common Error Types

Error TypeDescriptionSolution
Invalid QueryEmpty or malformed search queryProvide valid search terms
Rate LimitedAPI quota exceededAdd more keys or reduce frequency
Network TimeoutRequest timeoutAutomatic retry with backoff
No ResultsSearch returned emptyTry different keywords

Error Response Format

{
"success": false,
"search_query": "your search query",
"error": "Descriptive error message",
"fetched_at": "2024-01-15T10:30:00.000Z"
}

Use Cases

Business Intelligence

  • Brand Monitoring: Track mentions and sentiment
  • Competitor Analysis: Monitor competitor content strategy
  • Market Research: Understand industry trends and discussions
  • Influencer Identification: Find key voices in your niche

Content Strategy

  • Trend Analysis: Identify viral content patterns
  • Content Planning: Discover popular topics and formats
  • Engagement Research: Analyze what drives user interaction
  • Hashtag Research: Find effective hashtag strategies

Academic Research

  • Social Media Studies: Analyze communication patterns
  • Sentiment Analysis: Study public opinion on topics
  • Network Analysis: Map user interactions and communities
  • Trend Forecasting: Predict emerging topics

Marketing & PR

  • Campaign Monitoring: Track campaign performance and reach
  • Crisis Management: Monitor brand mentions during issues
  • Influencer Outreach: Identify potential collaboration partners
  • Content Optimization: Improve content based on successful posts

Privacy & Compliance

Data Protection

  • Public Data Only: Extracts only publicly available content
  • No Personal Data: Doesn’t collect private user information
  • GDPR Compliant: Follows data protection regulations
  • Ethical Scraping: Respects platform terms and rate limits

FAQ

General Questions

Q: What types of content can I search for? A: You can search for any public Threads posts using keywords, phrases, hashtags, or user mentions.

Q: How many results can I get per search? A: You can extract up to 1,000 posts per run, with pagination support for comprehensive data collection.

Q: Can I filter results by specific users? A: Yes, use the fromUser parameter to filter results from specific usernames.

Technical Questions

Q: How do I handle rate limits? A: The actor automatically manages rate limits. For higher volume.

Q: What happens if my search returns no results? A: The actor will complete successfully but return an empty dataset. Try different keywords or broader search terms.

Q: Can I search for posts from a specific time period? A: Currently, time-based filtering isn’t supported, but you can sort by "recent" to get newer posts first.

Pricing Questions

Q: What are the costs of using this actor? A: Usage follows standard Apify platform pricing (compute units, storage, and any custom limits on your account).

Q: How can I optimize costs? A: Use specific search queries, set appropriate maxResults limits, and avoid unnecessary runs.

Support

Troubleshooting Steps

  1. Check Actor Settings: Ensure any required secrets or configuration on Apify are correctly set
  2. Check Query: Validate your search query format
  3. Review Limits: Ensure you’re within rate limits and quotas
  4. Test Connection: Try with a simple search first

Contact Information

  • Issues: Report bugs through the Apify platform
  • Feature Requests: Submit enhancement requests
  • Documentation: Suggest improvements to this guide

🏷️ Find me

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