We extract full-text articles, historical archives, author metadata, and category feeds from The Daily Star. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Articles objects from thedailystar.net. All fields typed and schema-versioned.
"article_url": "https://www.thedailystar.net/business/economy/news/export-earnings-grow-3549721", "headline": "Export earnings grow in October", "author_name": "Staff Correspondent", "published_at": "2026-10-15T08:30:00Z", "category": "Business", "body_text": "Bangladesh recorded a positive growth in export earnings...", "tags": "['Economy', 'Export', 'Bangladesh Bank']"
| # | article_url | headline | subheadline | author_name | published_at | updated_at |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Authors objects from thedailystar.net. All fields typed and schema-versioned.
"author_id": "auth_7482", "name": "Rejaul Karim Byron", "profile_url": "https://www.thedailystar.net/author/rejaul-karim-byron", "role": "Special Correspondent", "article_count": 1423, "latest_article_date": "2026-10-14T10:15:00Z", "twitter_handle": "@rkbyron"
| # | author_id | name | profile_url | role | bio | article_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Categories objects from thedailystar.net. All fields typed and schema-versioned.
"category_name": "Sports", "sub_category": "Cricket", "url": "https://www.thedailystar.net/sports/cricket", "article_count": 18492, "latest_article_date": "2026-10-15T09:00:00Z", "status": "active"
| # | category_name | sub_category | url | article_count | latest_article_date | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Comments objects from thedailystar.net. All fields typed and schema-versioned.
"comment_id": "cmt_99382", "article_id": "art_3549721", "user_name": "RahimUddin", "comment_text": "This is a positive sign for the economy.", "timestamp": "2026-10-15T11:20:00Z", "upvotes": 42, "replies_count": 3
| # | comment_id | article_id | user_name | comment_text | timestamp | upvotes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from thedailystar.net. All fields typed and schema-versioned.
"keyword": "inflation rate", "page_number": 1, "article_url": "https://www.thedailystar.net/business/economy/news/inflation-drops-3549111", "headline": "Inflation drops marginally", "date": "2026-10-10T08:00:00Z", "author": "Staff Correspondent", "relevance_score": 0.95
| # | keyword | page_number | article_url | headline | snippet | date |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our news scraper handles every layer of the publication: full-text articles, historical archives, author metadata, and category feeds: with bot circumvention built in.
Headline, subheadline, author, publication timestamps, category, tags, and clean body text stripped of ads and navigation elements.
Extract decades of historical reporting via sitemap traversal and date-based pagination scraping.
Profile URLs, bios, roles, and complete publication histories mapped to individual journalists.
Track specific sections like Business, National, or Sports with high-frequency polling for breaking news.
Extract user comments, timestamps, and engagement metrics from active discussion threads.
Capture high-resolution image URLs, captions, and embedded video links associated with each article.
Navigate aggressive bot protection and rate limiting using residential proxies and TLS fingerprinting.
Run continuous pipelines at hourly or daily cadences to capture new articles as they are published.
Monitor articles for post-publication edits and headline modifications using hash-based diffing.
Brief in. Clean data out.
Provide target categories, date ranges, or author lists. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and parsing logic for thedailystar.net.
Schema validation, null-rate checks, text-cleanliness checks, and sample articles before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
News sites deploy aggressive caching and bot protection. Here is how we stay resilient: and why teams choose managed infrastructure over DIY.
News sites rely on Cloudflare to block automated traffic. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management.
Article pages are cluttered with inline ads, related links, and newsletter signups. We use strict XPath selectors to isolate the core article text, ensuring your NLP models receive clean training data.
Extracting 20 years of news requires traversing complex, frequently changing pagination structures. We build resilient traversal logic that recovers gracefully from network timeouts during deep historical backfills.
News articles are often updated after initial publication. Our change detection system maintains a hash of the article body and headline, emitting a new record only when modifications occur.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, layout changes, and coverage drops: and respond before you notice. SLA uptime is contractual.
Machine learning teams use clean, structured news text to train language models and sentiment classifiers for the Bengali and South Asian context.
PR agencies and corporate comms teams track brand mentions, executive quotes, and industry coverage in real time.
Think tanks and analysts track political developments, policy changes, and international relations reporting over time.
Financial institutions analyse business news velocity, sector-specific reporting, and macroeconomic indicators to inform investment models.
Risk management platforms monitor reports of natural disasters, civil unrest, and supply chain disruptions.
Companies track competitor product launches, executive appointments, and market expansions covered in the national press.
"The Daily Star contains decades of critical geopolitical and economic reporting on Bangladesh, but extracting structured historical data requires navigating complex archives and aggressive bot protection."
Media monitoring and NLP teams underestimate the difficulty of parsing legacy news infrastructure. Extracting clean article text, mapping author relationships, and maintaining daily extraction pipelines requires constant selector maintenance and proxy rotation. DataFlirt handles this infrastructure so your data science teams can focus on text classification and sentiment analysis.
Everything supported by our thedailystar.net scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across global regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About thedailystar.net scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available news articles is generally permissible for analysis, provided it respects copyright law and fair use principles. DataFlirt extracts factual data and text for analytical purposes. Clients must ensure their downstream use cases, such as republishing or model training, comply with applicable intellectual property laws and The Daily Star terms of service.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for rate spikes in real time and trigger pool rotation automatically.
Yes. We can traverse sitemaps and date-based archives to backfill historical data. Large backfills are scheduled across distributed infrastructure to manage load and complete within agreed timeframes.
We extract the source URLs for high-resolution images and embedded videos, along with their associated captions and metadata. We do not download and store the media files themselves.
For media monitoring use cases, we configure high-frequency polling on specific category feeds or RSS endpoints, achieving sub-15-minute latency from publication to webhook delivery.
Yes. Our change detection system hashes the article body and headline during each run. If an article is updated, we emit a new record containing the modified text and the updated timestamp.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off historical archive dump or a continuous real-time feed of breaking news: we scope, build, and operate the pipeline. Tell us what you need.
