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XCrawlLösungenSubReddit Comments Search Scraper API

SubReddit Comments Search Scraper API

Harness the SubReddit Comments Search Scraper API to effortlessly reddit comment scraper from any subreddit or search query. Bypass Reddit's rate limits, IP blocks, and complex parsing challenges for threaded replies, delivering clean JSON datasets ideal for scraping reddit comments and advanced comments analysis.

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Was können Sie mit dem SubReddit Comments Search Scraper API Scraper bauen?

Build sentiment analysis tools using scraped reddit comments datasets for real-time brand monitoring. Create comprehensive reddit comment datasets for machine learning models in social media research. Develop competitor tracking apps with scraping reddit comments to uncover trends and user opinions across subreddits.

XCrawl

Real-Time Comment Extraction

Access fresh reddit comments dataset via RESTful endpoints, supporting async requests in Python or Node.js for high-volume scraping reddit comments without delays.

XCrawl

JSON-Structured Outputs

Receive structured data from reddit comment scraper, including threaded replies, engagement metrics, and timestamps for seamless integration into your comments analysis pipelines.

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Rate Limit Evasion

Smart proxy rotation and anti-detection ensure uninterrupted scraping reddit comments, even at scale, delivering reliable reddit comments dataset for ongoing projects.

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Threaded Reply Parsing

Automatically unnest complex Reddit threads from your reddit comment dataset, providing flat or hierarchical JSON perfect for in-depth comments analysis and visualization.

Vertraut von datengetriebenen Teams weltweit

Eingesetzt von Teams in Analyse, Forschung, Monitoring und Growth-Workflows.

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Verfügbare SubReddit Comments Search Scraper API Scraper

Greifen Sie auf die meistgenutzten SubReddit Comments Search Scraper API Datentypen zu – vollständig strukturiert, einheitlich formatiert und produktionsbereit.

Reddit Comment Scraper

Extract all comments from specific Reddit posts or threads into structured JSON.

Scraping-Methode:
  • comment_id
  • author
  • body
  • score
  • timestamp
  • permalink
  • subreddit

Scrape Reddit Comments

Search and scrape reddit comments by keywords across subreddits for targeted datasets.

Scraping-Methode:
  • search_query
  • comment_text
  • author_name
  • upvotes
  • replies_count
  • created_utc
  • thread_id

Scraping Reddit Comments

High-volume endpoint for scraping reddit comments from historical or live subreddit activity.

Scraping-Methode:
  • subreddit_name
  • comment_body
  • engagement_score
  • parent_id
  • child_comments
  • media_urls
  • user_karma

Reddit Comments Dataset

Generate bulk reddit comments dataset exports for analysis, filtered by date or popularity.

Scraping-Methode:
  • dataset_id
  • total_comments
  • avg_score
  • sentiment_label
  • author_flair
  • gilded_count
  • edited

Reddit Comment Dataset

Compile custom reddit comment dataset from user profiles or search results with full metadata.

Scraping-Methode:
  • user_profile
  • comment_history
  • reply_depth
  • controversiality
  • distinguished
  • stickied

Comments Analysis Scraper

Scrape reddit comments optimized for comments analysis, including engagement and reply chains.

Scraping-Methode:
  • analysis_tags
  • thread_replies
  • vote_ratio
  • num_reports
  • over_18
  • locked

SubReddit Comments Search Scraper API Crawling-Methoden

XCrawl

API Scraping (Für Entwickler)

Integrate via simple REST API calls for developers building custom reddit comment scraper solutions.

  • XCrawl
    Python SDK
    Use our Python library for async scraping reddit comments with built-in retry logic and JSON parsing.
  • XCrawl
    Node.js Support
    Leverage Node.js async endpoints to fetch reddit comments dataset at scale without blocking.
  • XCrawl
    Webhook Notifications
    Set up real-time webhooks for new scraped reddit comments ready for comments analysis.
XCrawl

No-Code Scraping (Für Ops- & Growth-Teams)

Use our intuitive dashboard for no-code scraping reddit comments without writing a single line.

  • XCrawl
    Visual Query Builder
    Select subreddits and keywords visually to start reddit comment scraper instantly.
  • XCrawl
    Automated Scheduling
    Schedule recurring scrapes for ongoing reddit comments dataset collection.
  • XCrawl
    CSV/JSON Exports
    Download clean reddit comment dataset in CSV, Excel, or JSON for easy comments analysis.

Code-Beispiele

Rufen Sie SubReddit Comments Search Scraper API Beiträge und Autoreninformationen in Sekunden mit einem einfachen API-Aufruf ab.

Eingabe
Shell
curl -X POST https://xcrawl.com -H "Authorization: YOU_TOKEN" -H "Content-Type: application/json" -d "{\"geo\":\"US\",\"context\":{\"keyword_list\":[{\"keyword\":\"Apple\"}],\"start_page\":1,\"pages\":1},\"source\":\"amazon_search\"}"
Ausgabe
Json
{
"result":[
{
"content":{
"url":"https://www.amazon.com/s?k=Apple&page=1"
"page":1
"query":"Apple"
"results":{
"organic":[
{
"pos":1
"url":"https://www.amazon.com/sspa/click?ie=UTF8&spc=MTo1NTU4MDIyNzE4MTQ0NDk1OjE3NjM0NDg1NjM6c3BfYXRmOjMwMDg0MTIyMDE1MTYwMjo6MDo6&url=%2FApple-11-inch-Intelligence-Display-All-Day%2Fdp%2FB0DZ73HCJZ%2Fref%3Dsr_1_1_sspa%3Fdib%3DeyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs%26dib_tag%3Dse%26keywords%3DApple%26qid%3D1763448563%26sr%3D8-1-spons%26sp_csd%3Dd2lkZ2V0TmFtZT1zcF9hdGY%26psc%3D1"
"asin":"B0DZ73HCJZ"
"price":499.99
"title":"SponsoredSponsored You’re seeing this ad based on the product’s relevance to your search query.Leave ad feedback AppleiPad Air 11-inch with M3 chip Built for Apple Intelligence, Liquid Retina Display, 128GB, 12MP Front/Back Camera, Wi-Fi 6E, Touch ID, All-Day Battery Life — Purple"
"rating":4.8
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/71b-vc2xzlL._AC_UY218_.jpg"
"best_seller":false
"price_upper":499.99
"is_sponsored":false
"sales_volume":"1K+ bought in past month"
"pricing_count":1
"reviews_count":null
"is_amazons_choice":false
"price_strikethrough":599
"shipping_information":"FREE delivery Sun, Nov 23Or fastest delivery Tomorrow, Nov 19"
},
{
"pos":2
"url":"https://www.amazon.com/sspa/click?ie=UTF8&spc=MTo1NTU4MDIyNzE4MTQ0NDk1OjE3NjM0NDg1NjM6c3BfYXRmOjMwMDg0MTI5NzA2MjkwMjo6MDo6&url=%2FApple-Bluetooth-Headphones-Personalized-Effortless%2Fdp%2FB0DGHMNQ5Z%2Fref%3Dsr_1_2_sspa%3Fdib%3DeyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs%26dib_tag%3Dse%26keywords%3DApple%26qid%3D1763448563%26sr%3D8-2-spons%26sp_csd%3Dd2lkZ2V0TmFtZT1zcF9hdGY%26psc%3D1"
"asin":"B0DGHMNQ5Z"
"price":117
"title":"SponsoredSponsored You’re seeing this ad based on the product’s relevance to your search query.Leave ad feedback AppleAirPods 4 Wireless Earbuds, Bluetooth Headphones, Personalized Spatial Audio, Sweat and Water Resistant, USB-C Charging Case, H2 Chip, Up to 30 Hours of Battery Life, Effortless Setup for iPhone"
"rating":4.5
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/61iBtxCUabL._AC_UY218_.jpg"
"best_seller":false
"price_upper":117
"is_sponsored":false
"sales_volume":"10K+ bought in past month"
"pricing_count":1
"reviews_count":null
"is_amazons_choice":false
"price_strikethrough":129
"shipping_information":"FREE delivery Sun, Nov 23Or fastest delivery Tomorrow, Nov 19"
},
{
"pos":3
"url":"https://www.amazon.com/Apple-MX542LL-A-AirTag-Pack/dp/B0D54JZTHY/ref=sr_1_3?dib=eyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs&dib_tag=se&keywords=Apple&qid=1763448563&sr=8-3"
"asin":"B0D54JZTHY"
"price":79.98
"title":"AppleAirTag 4 Pack. Keep Track of and find Your Keys, Wallet, Luggage, Backpack, and More. Simple one-tap Set up with iPhone or iPad"
"rating":4.7
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/61bMNCeAUAL._AC_UY218_.jpg"
"best_seller":false
"price_upper":79.98
"is_sponsored":false
"sales_volume":"10K+ bought in past month"
"pricing_count":1
"reviews_count":null
"is_amazons_choice":false
"price_strikethrough":99
"shipping_information":"FREE delivery Sun, Nov 23Or fastest delivery Tomorrow, Nov 19"
},
{
"pos":4
"url":"https://www.amazon.com/Apple-MX532LL-A-AirTag/dp/B0CWXNS552/ref=sr_1_4?dib=eyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs&dib_tag=se&keywords=Apple&qid=1763448563&sr=8-4"
"asin":"B0CWXNS552"
"price":17.97
"title":"AppleAirTag. Keep Track of and find Your Keys, Wallet, Luggage, Backpack, and More. Simple one-tap Set up with iPhone or iPad"
"rating":4.7
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/71rP7f78eFL._AC_UY218_.jpg"
"best_seller":false
"price_upper":17.97
"is_sponsored":false
"sales_volume":"10K+ bought in past month"
"pricing_count":1
"reviews_count":null
"is_amazons_choice":false
"price_strikethrough":29
"shipping_information":"FREE delivery Sun, Nov 23 on $35 of items shipped by AmazonOr fastest delivery Tomorrow, Nov 19"
},
{
"pos":5
"url":"https://www.amazon.com/Apple-iPad-Pro-13-inch-M5/dp/B0FWCXMR3W/ref=sr_1_5?dib=eyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs&dib_tag=se&keywords=Apple&qid=1763448563&sr=8-5"
"asin":"B0FWCXMR3W"
"price":2499
"title":"AppleiPad Pro 13-inch (M5): Ultra Retina XDR Display, 2TB, 12MP Front/Back Camera, LiDAR Scanner, Wi-Fi 7 with Apple N1 + 5G Cellular with C1X chip, Face ID, All-Day Battery Life — Space Black"
"rating":4.6
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/715V3wbnD6L._AC_UY218_.jpg"
"best_seller":false
"price_upper":2499
"is_sponsored":false
"sales_volume":null
"pricing_count":1
"reviews_count":16
"is_amazons_choice":false
"price_strikethrough":""
"shipping_information":"FREE delivery Sun, Nov 23Or fastest delivery Thu, Nov 20"
},
{
"pos":6
"url":"https://www.amazon.com/Apple-Cancellation-Translation-Headphones-High-Fidelity/dp/B0FQFB8FMG/ref=sr_1_6?dib=eyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs&dib_tag=se&keywords=Apple&qid=1763448563&sr=8-6"
"asin":"B0FQFB8FMG"
"price":249
"title":"AppleAirPods Pro 3 Wireless Earbuds, Active Noise Cancellation, Live Translation, Heart Rate Sensing, Hearing Aid Feature, Bluetooth Headphones, Spatial Audio, High-Fidelity Sound, USB-C Charging"
"rating":4.4
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/61solmQSSlL._AC_UY218_.jpg"
"best_seller":false
"price_upper":249
"is_sponsored":false
"sales_volume":"10K+ bought in past month"
"pricing_count":1
"reviews_count":null
"is_amazons_choice":false
"price_strikethrough":""
"shipping_information":"FREE delivery Sun, Nov 23Or fastest delivery Tomorrow, Nov 19"
},
{
"pos":7
"url":"https://www.amazon.com/Apple-2025-MacBook-13-inch-Laptop/dp/B0DZD9S5GC/ref=sr_1_7?dib=eyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs&dib_tag=se&keywords=Apple&qid=1763448563&sr=8-7"
"asin":"B0DZD9S5GC"
"price":749.99
"title":"Apple2025 MacBook Air 13-inch Laptop with M4 chip: Built for Apple Intelligence, 13.6-inch Liquid Retina Display, 16GB Unified Memory, 256GB SSD Storage, 12MP Center Stage Camera, Touch ID; Midnight"
"rating":4.8
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/71cWZUr9SVL._AC_UY218_.jpg"
"best_seller":false
"price_upper":749.99
"is_sponsored":false
"sales_volume":null
"pricing_count":1
"reviews_count":null
"is_amazons_choice":false
"price_strikethrough":999
"shipping_information":"FREE delivery Sun, Nov 23Or fastest delivery Tomorrow, Nov 19"
},
{
"pos":8
"url":"https://www.amazon.com/Apple-Headphones-Cancellation-Transparency-Personalized/dp/B0DGJ7HYG1/ref=sr_1_8?dib=eyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs&dib_tag=se&keywords=Apple&qid=1763448563&sr=8-8"
"asin":"B0DGJ7HYG1"
"price":148.99
"title":"AppleAirPods 4 Wireless Earbuds, Bluetooth Headphones, with Active Noise Cancellation, Adaptive Audio, Transparency Mode, Personalized Spatial Audio, USB-C Charging Case, Wireless Charging, H2 Chip"
"rating":4.5
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/61iBtxCUabL._AC_UY218_.jpg"
"best_seller":false
"price_upper":148.99
"is_sponsored":false
"sales_volume":"10K+ bought in past month"
"pricing_count":1
"reviews_count":null
"is_amazons_choice":false
"price_strikethrough":179
"shipping_information":"FREE delivery Sun, Nov 23Or fastest delivery Tomorrow, Nov 19"
},
],
"amazons_choices":[
],
},
},
},
],
},

So funktioniert die SubReddit Comments Search Scraper API Scraper API

  • XCrawlIntelligente IP-Rotation
  • XCrawlAutomatische CAPTCHA-Erkennung
  • XCrawlHTTP-Header
  • XCrawlAutomatische Webseiten-Analyse
  • XCrawlAnpassbarer Support

Was kann unsere API für Sie tun?

XCrawl

Proxy-Management

ML-basierte Proxy-Auswahl und -Rotation – mit unserem Premium-Proxy-Pool aus 190 Ländern.

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KI-gesteuertes Fingerprinting

Einzigartige HTTP-Header, JavaScript- und Browser-Fingerprints sorgen für Widerstandsfähigkeit gegenüber dynamischen Inhalten.

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CAPTCHA-Umgehung

Automatische Wiederholung und CAPTCHA-Umgehung für eine unterbrechungsfreie Datengewinnung.

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Massendatenextraktion

Extrahieren Sie Daten gleichzeitig von mehreren Seiten – mit bis zu 10.000 URLs pro Durchgang.

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Mehrere Bereitstellungsoptionen

Empfangen Sie Daten über Cloudspeicher wie SFTP oder AWSS3 oder rufen Sie Ergebnisse per API ab.

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Geplantes Scraping

Stellen Sie die gewünschte Frequenz für automatisierte, zeitgesteuerte Datenerhebung ein. Ergebnisse werden direkt an Ihren Cloud-Speicher geliefert.

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Wartungsfreie Infrastruktur

Vermeiden Sie Proxy-Wartung und Infrastrukturaufwand. Sie müssen kein eigenes Crawling-System bauen.

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Hochgradig skalierbar

Leicht integrierbar und anpassbar.

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24/7 Support

Erhalten Sie professionellen Support bei Fragen oder Problemen.

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Flexible Preise

Transparente Web-Scraping-Preise mit flexiblen API-Abonnement-Plänen. Vergleichen Sie Datenextraktionskosten, kaufen Sie Crawler-Zugang und starten Sie kostenlos — dann skalieren Sie nach Bedarf.

Monatlich
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Skalierungs-Tarife

High-Volume-Tarife für Teams mit hohem Bedarf und dediziertem Support.

Profitieren Sie von höheren Raten, mehr gleichzeitigen Browsern und Prioritätssupport.

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Was sagen unsere Kunden?

★★★★★
5.0

This reddit comment scraper transformed our comments analysis workflow—fast, reliable datasets every time.

Alex Rivera
Alex Rivera
Data Scientist
★★★★★
4.9

Scraping reddit comments has never been easier; the reddit comments dataset quality is outstanding for training models.

Sarah Kim
Sarah Kim
ML Engineer
★★★★★
5.0

Perfect integration for building reddit comment dataset—saved us weeks of manual scraping reddit comments.

Mike Chen
Mike Chen
Product Analyst
★★★★★
4.8

Love how it handles comments analysis endpoints; reddit comment scraper delivers precise engagement data.

Emma Patel
Emma Patel
Growth Hacker
★★★★★
5.0

Seamless API for scraping reddit comments—JSON output is clean and ready for our pipeline.

David Lopez
David Lopez
Backend Developer
★★★★★
4.9

Generated massive reddit comments dataset effortlessly; ideal for social sentiment via comments analysis.

Lisa Wong
Lisa Wong
Researcher
★★★★★
5.0

Robust reddit comment scraper bypasses all blocks—scales perfectly for our reddit comment dataset needs.

Tom Harris
Tom Harris
DevOps Lead
★★★★★
4.7

Scraping reddit comments unlocked key insights; the dataset is gold for trend tracking.

Nina Gupta
Nina Gupta
Marketing Analyst
★★★★★
5.0

Top-tier reddit comments dataset from this scraper—fuels our advanced comments analysis projects.

Raj Singh
Raj Singh
AI Specialist
★★★★★
4.9

Effortless reddit comment scraper setup; delivers structured data for instant comments analysis.

Olivia Grant
Olivia Grant
Data Engineer
★★★★★
5.0

This reddit comment scraper transformed our comments analysis workflow—fast, reliable datasets every time.

Alex Rivera
Alex Rivera
Data Scientist
★★★★★
4.9

Scraping reddit comments has never been easier; the reddit comments dataset quality is outstanding for training models.

Sarah Kim
Sarah Kim
ML Engineer
★★★★★
5.0

Perfect integration for building reddit comment dataset—saved us weeks of manual scraping reddit comments.

Mike Chen
Mike Chen
Product Analyst
★★★★★
4.8

Love how it handles comments analysis endpoints; reddit comment scraper delivers precise engagement data.

Emma Patel
Emma Patel
Growth Hacker
★★★★★
5.0

Seamless API for scraping reddit comments—JSON output is clean and ready for our pipeline.

David Lopez
David Lopez
Backend Developer
★★★★★
4.9

Generated massive reddit comments dataset effortlessly; ideal for social sentiment via comments analysis.

Lisa Wong
Lisa Wong
Researcher
★★★★★
5.0

Robust reddit comment scraper bypasses all blocks—scales perfectly for our reddit comment dataset needs.

Tom Harris
Tom Harris
DevOps Lead
★★★★★
4.7

Scraping reddit comments unlocked key insights; the dataset is gold for trend tracking.

Nina Gupta
Nina Gupta
Marketing Analyst
★★★★★
5.0

Top-tier reddit comments dataset from this scraper—fuels our advanced comments analysis projects.

Raj Singh
Raj Singh
AI Specialist
★★★★★
4.9

Effortless reddit comment scraper setup; delivers structured data for instant comments analysis.

Olivia Grant
Olivia Grant
Data Engineer
★★★★★
5.0

This reddit comment scraper transformed our comments analysis workflow—fast, reliable datasets every time.

Alex Rivera
Alex Rivera
Data Scientist
★★★★★
4.9

Scraping reddit comments has never been easier; the reddit comments dataset quality is outstanding for training models.

Sarah Kim
Sarah Kim
ML Engineer
★★★★★
5.0

Perfect integration for building reddit comment dataset—saved us weeks of manual scraping reddit comments.

Mike Chen
Mike Chen
Product Analyst
★★★★★
4.8

Love how it handles comments analysis endpoints; reddit comment scraper delivers precise engagement data.

Emma Patel
Emma Patel
Growth Hacker
★★★★★
5.0

Seamless API for scraping reddit comments—JSON output is clean and ready for our pipeline.

David Lopez
David Lopez
Backend Developer
★★★★★
4.9

Generated massive reddit comments dataset effortlessly; ideal for social sentiment via comments analysis.

Lisa Wong
Lisa Wong
Researcher
★★★★★
5.0

Robust reddit comment scraper bypasses all blocks—scales perfectly for our reddit comment dataset needs.

Tom Harris
Tom Harris
DevOps Lead
★★★★★
4.7

Scraping reddit comments unlocked key insights; the dataset is gold for trend tracking.

Nina Gupta
Nina Gupta
Marketing Analyst
★★★★★
5.0

Top-tier reddit comments dataset from this scraper—fuels our advanced comments analysis projects.

Raj Singh
Raj Singh
AI Specialist
★★★★★
4.9

Effortless reddit comment scraper setup; delivers structured data for instant comments analysis.

Olivia Grant
Olivia Grant
Data Engineer
★★★★★
5.0

This reddit comment scraper transformed our comments analysis workflow—fast, reliable datasets every time.

Alex Rivera
Alex Rivera
Data Scientist
★★★★★
4.9

Scraping reddit comments has never been easier; the reddit comments dataset quality is outstanding for training models.

Sarah Kim
Sarah Kim
ML Engineer
★★★★★
5.0

Perfect integration for building reddit comment dataset—saved us weeks of manual scraping reddit comments.

Mike Chen
Mike Chen
Product Analyst
★★★★★
4.8

Love how it handles comments analysis endpoints; reddit comment scraper delivers precise engagement data.

Emma Patel
Emma Patel
Growth Hacker
★★★★★
5.0

Seamless API for scraping reddit comments—JSON output is clean and ready for our pipeline.

David Lopez
David Lopez
Backend Developer
★★★★★
4.9

Generated massive reddit comments dataset effortlessly; ideal for social sentiment via comments analysis.

Lisa Wong
Lisa Wong
Researcher
★★★★★
5.0

Robust reddit comment scraper bypasses all blocks—scales perfectly for our reddit comment dataset needs.

Tom Harris
Tom Harris
DevOps Lead
★★★★★
4.7

Scraping reddit comments unlocked key insights; the dataset is gold for trend tracking.

Nina Gupta
Nina Gupta
Marketing Analyst
★★★★★
5.0

Top-tier reddit comments dataset from this scraper—fuels our advanced comments analysis projects.

Raj Singh
Raj Singh
AI Specialist
★★★★★
4.9

Effortless reddit comment scraper setup; delivers structured data for instant comments analysis.

Olivia Grant
Olivia Grant
Data Engineer
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Häufig gestellte Fragen

Alles, was Sie über XCrawl wissen müssen.

How does the SubReddit Comments Search Scraper API architecture work?
Our cloud-based reddit comment scraper uses distributed crawlers with proxy pools to fetch, parse, and structure reddit comments dataset into JSON via REST endpoints.
What factors determine the pricing model?
Pricing scales by API calls, data volume in reddit comments dataset, concurrency, and premium features like real-time comments analysis.
What is the data coverage and any limitations?
Covers public subreddits, comments, and threads; limited to non-private data, with rate-matched scraping to respect platform policies.
Is using this scraper legal and compliant?
We scrape only publicly available data; always review Reddit's TOS and consult legal for your use of reddit comments dataset.
What integration support is available?
Full docs, Python/Node.js SDKs, webhooks, and Slack support for seamless reddit comment scraper integration into your stack.

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