A Washington Post story is defined by its headline, standfirst, byline, section and timestamps. Our Washington Post scraper collects them and tracks how other outlets cite the reporting.
Plans from €169/month · Free project assessment · Reply within 1 business day
ScrapeIt runs the work as a managed service. You name the sections, subjects and outlets; we build the pipeline, collect article records and citation records on your cadence and hand back CSV, JSON, Excel or a push into your warehouse.
Before quoting we scope what is answered from the Post's own pages, from citations and from primary public sources.
We never log in and never go behind the subscription. We collect only publicly available data - everything a visitor can see on The Washington Post - and we collect it legally.
Article records carry the headline, standfirst, byline, section, publication and update timestamps and article identifier, as the site shows them to a visitor.
Citation records show where other outlets cite or follow Post reporting: which stories were picked up, how quickly and how the framing changed.
Every row carries the collection timestamp and its source type.
Citation and follow-up analysis is the strongest product here: which Post stories other outlets picked up, how quickly, and how the framing changed.
Policy coverage tracking, a common brief for this paper, can often be answered better from primary public sources - legislative and regulatory records - with the Post's role measured through citations.
We never log in and never go behind the subscription, so every row carries what the site shows a visitor.
The Washington Post is one of the most prominent American newspapers, covering national politics, government and public affairs from the capital, published behind a subscription.
What the site shows a visitor without a subscription can be collected: article headlines, standfirsts, bylines, sections, publication and update timestamps and article identifiers.
The paper's influence also reaches well beyond its own pages. Other outlets cite and follow its reporting, and that trail - which Post stories were picked up, how quickly and with what framing - is collected alongside.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →The Post covers national politics, government and public affairs from the capital, and for teams that work on policy, that coverage is worth tracking story by story. Headlines, standfirsts, bylines, sections and timestamps show what the paper covered, who wrote it and when a story was updated.
The second question is influence: how other outlets cite and follow the Post's reporting. For communications, policy and media research teams, that is often the real question anyway - not what the Post wrote, but what it set in motion.
Learn how to use web scraping to solve data problems for your organization
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.
ScrapeIt is a managed extraction company, not a tool you have to learn. Our team builds the pipelines, keeps source types and collection timestamps attached to the data, and repairs collection when formats change.
You see a sample first, in your format, over the sections and subjects you actually track, including a citation analysis from other outlets, so you can judge the value before committing.
Yes: article headlines, standfirsts, bylines, sections, publication and update timestamps and article identifiers, plus how other outlets cite and follow its reporting. We collect only publicly available data - everything a visitor can see on The Washington Post - and we collect it legally.
The headline, standfirst, byline, section, publication and update timestamps and article identifier, as the site shows them to a visitor. Every row also carries the collection timestamp and its source type.
Yes. The ScrapeIt Washington Post API returns headlines, standfirsts, bylines, sections, timestamps and citation records as JSON from an endpoint we host, refreshed on the schedule you set. The same data also comes as CSV or XLSX files or straight into your database.
Which Post stories other outlets picked up, how quickly, and how the framing changed. For policy topics, primary public records often answer the underlying question better anyway.
No. We never log in and never go behind paywalls, so the dataset carries what the site shows a visitor. A sample over the sections and subjects you track shows exactly what that covers before you commit.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
The Washington Post data from €169/month. Free project assessment, reply within 1 business day.
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