We extract Avios redemption values, hotel point charts, flight routing updates, credit card sign-up bonuses, and user comments from Head for Points. Delivered as clean JSON, CSV, or Parquet to S3 or Snowflake.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Articles & News objects from headforpoints.com. All fields typed and schema-versioned.
"article_id": "hfp-84921", "url": "https://www.headforpoints.com/2026/05/12/new-british-airways-route/", "title": "British Airways launches new route to Kyoto", "author": "Rob Burgess", "publish_date": "2026-05-12T06:00:00Z", "category": "Flights", "comment_count": 142
| # | article_id | url | title | author | publish_date | category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Credit Card Reviews objects from headforpoints.com. All fields typed and schema-versioned.
"card_name": "British Airways Amex Premium Plus", "issuer": "American Express", "annual_fee": 300, "sign_up_bonus": 25000, "bonus_currency": "Avios", "earning_rate": "1.5 Avios per GBP 1"
| # | card_name | issuer | card_type | annual_fee | sign_up_bonus | bonus_currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for User Comments objects from headforpoints.com. All fields typed and schema-versioned.
"comment_id": "c-89123", "article_id": "hfp-84921", "author_name": "NorthernLass", "timestamp": "2026-05-12T08:14:00Z", "comment_text": "Great news for Avios redemptions to Japan.", "upvotes": 12
| # | comment_id | article_id | author_name | timestamp | comment_text | upvotes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Hotel Loyalty Guides objects from headforpoints.com. All fields typed and schema-versioned.
"program_name": "Hilton Honors", "parent_company": "Hilton", "point_valuation": "0.33p", "elite_tiers": "['Silver', 'Gold', 'Diamond']", "transfer_partners": "['Amex MR', 'Virgin Points']", "point_expiry": "24 months"
| # | program_name | parent_company | point_valuation | elite_tiers | transfer_partners | point_expiry |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Flight Reviews objects from headforpoints.com. All fields typed and schema-versioned.
"airline": "British Airways", "route": "LHR-JFK", "cabin_class": "Club Suite", "aircraft_type": "A350-1000", "review_score": 8.5, "seat_layout": "1-2-1"
| # | airline | route | cabin_class | aircraft_type | review_score | seat_layout |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper handles the specific structure of Head for Points: WordPress article extraction, paginated comment threads, dynamic credit card offer tables, and historical archive retrieval.
Extract point valuation updates, reward flight availability alerts, and partner earning rates directly from editorial content.
Capture sign-up bonuses, annual fees, earning rates, and representative APRs across all reviewed UK travel credit cards.
Track changes to Marriott Bonvoy, Hilton Honors, and IHG One Rewards tier requirements and point values.
Parse thousands of daily user comments to gauge frequent flyer sentiment on airline changes and loyalty program devaluations.
Extract new route announcements, aircraft swaps, and cabin class updates covered in the daily news feed.
Compile access rules, priority pass eligibility, and qualitative ratings for airport lounges worldwide.
Scrape the entire decade-long backlog of articles and comments to build time-series data on loyalty program evolution.
Run one-off bulk exports or configure continuous pipelines at hourly or daily cadences with change-detection diffing.
Extract specific routing examples and cost-per-tier-point calculations for British Airways Executive Club status qualification.
Brief in. Clean data out.
Provide target categories, date ranges, or specific article types. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and anti-bot handling for headforpoints.com.
Schema validation, null-rate checks, and sample data delivery before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Editorial sites present unique scraping challenges. Here is how we maintain data quality across thousands of unstructured articles and comments.
Head for Points uses Cloudflare protection. Our crawlers use UK residential ISP proxies with realistic browser fingerprints and TLS spoofing to bypass security checks without triggering blocks.
Popular articles generate hundreds of nested comments. We traverse the entire comment DOM, maintaining parent-child relationships and capturing timestamps, authors, and exact text.
WordPress themes update frequently. Our selector strategy uses multiple fallback chains per field, including CSS selectors, XPath, and regex pattern matching on article metadata.
For daily news feeds, we maintain a hash index of last-seen article IDs and comment timestamps. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes and schema drift, responding before you notice.
Airlines and hotel chains track competitor point valuations and promotional offers to adjust their own reward charts.
Financial institutions monitor sign-up bonuses and user reactions to optimise their own travel card portfolios.
Marketing teams parse community comments to gauge public reaction to airline cabin refits, route cuts, and loyalty program changes.
Travel aggregators use historical articles on reward seat releases to build predictive models for Avios availability.
Airlines track reviews of competitor business class products and lounge facilities to benchmark service quality.
ML teams use highly structured travel articles and comments to train domain-specific NLP classifiers and travel assistants.
"Head for Points holds the most comprehensive historical record of UK travel loyalty programs, but extracting structured intelligence from a decade of editorial text requires purpose-built pipelines."
Most data teams underestimate the complexity of scraping editorial sites at scale. Reliable extraction requires bypassing Cloudflare, parsing nested comment threads, normalising unstructured text into structured tables, and maintaining selectors against WordPress updates. DataFlirt absorbs that complexity entirely.
Everything supported by our headforpoints.com 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 and deduplication. Playwright handles JavaScript rendering and Cloudflare challenges. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across UK regions. Rotation happens per-request with sticky sessions where required to prevent IP bans.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About headforpoints.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated editorial content and comments. We do not extract personal data or circumvent authentication walls. Clients should review terms of service and consult legal counsel for specific use cases.
We use UK residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour to bypass security challenges without triggering blocks.
Yes. We can paginate through the entire site archive, capturing every article and its associated nested comment threads dating back to the site's inception.
Pipelines can be configured to run daily or hourly. Any updates to credit card sign-up bonuses or annual fees published in new articles or updated review pages are captured immediately.
Yes. We extract the specific point valuation metrics (e.g., pence per Avios) whenever they are updated in the editorial content or dedicated valuation pages.
Our smallest packages start at a defined category extraction with weekly delivery. For full historical archives or real-time comment streaming, we price based on volume and delivery frequency. Contact us with your use case.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off archive dump or a continuous feed of credit card offers and Avios routing news: we scope, build, and operate the pipeline. Tell us what you need.
