Welcome to Apiscrapy, your ultimate destination for comprehensive location-based intelligence. As an AI-driven web scraping and automation platform, Apiscrapy excels in converting raw web data into polished, ready-to-use data APIs. With a unique capability to collect Google Address Data, Google Address API, Google Location API, Google Map, and Google Location Data with 100% accuracy, we redefine possibilities in location intelligence.

Key Features:

Unparalleled Data Variety: Apiscrapy offers a diverse range of address-related datasets, including Google Address Data and Google Location Data. Whether you seek B2B address data or detailed insights for various industries, we cover it all.

Integration with Google Address API: Seamlessly integrate our datasets with the powerful Google Address API. This collaboration ensures not just accessibility but a robust combination that amplifies the precision of your location-based insights.

Business Location Precision: Experience a new level of precision in business decision-making with our address data. Apiscrapy delivers accurate and up-to-date business locations, enhancing your strategic planning and expansion efforts.

Tailored B2B Marketing: Customize your B2B marketing strategies with precision using our detailed B2B address data. Target specific geographic areas, refine your approach, and maximize the impact of your marketing efforts.

Use Cases:

Location-Based Services: Companies use Google Address Data to provide location-based services such as navigation, local search, and location-aware advertisements.

Logistics and Transportation: Logistics companies utilize Google Address Data for route optimization, fleet management, and delivery tracking.

E-commerce: Online retailers integrate address autocomplete features powered by Google Address Data to simplify the checkout process and ensure accurate delivery addresses.

Real Estate: Real estate agents and property websites leverage Google Address Data to provide accurate property listings, neighborhood information, and proximity to amenities.

Urban Planning and Development: City planners and developers utilize Google Address Data to analyze population density, traffic patterns, and infrastructure needs for urban planning and development projects.

Market Analysis: Businesses use Google Address Data for market analysis, including identifying target demographics, analyzing competitor locations, and selecting optimal locations for new stores or offices.

Geographic Information Systems (GIS): GIS professionals use Google Address Data as a foundational layer for mapping and spatial analysis in fields such as environmental science, public health, and natural resource management.

Government Services: Government agencies utilize Google Address Data for census enumeration, voter registration, tax assessment, and planning public infrastructure projects.

Tourism and Hospitality: Travel agencies, hotels, and tourism websites incorporate Google Address Data to provide location-based recommendations, itinerary planning, and booking services for travelers.

Discover the difference with Apiscrapy – where accuracy meets diversity in address-related datasets, including Google Address Data, Google Address API, Google Location API, and more. Redefine your approach to location intelligence and make data-driven decisions with confidence. Revolutionize your business strategies today!

This is the ONS Postcode Directory (ONSPD) for the United Kingdom as at February 2024 in Comma Separated Variable (CSV) and ASCII text (TXT) formats. This file contains the multi CSVs so that postcode areas can be opened in MS Excel. To download the zip file click the Download button. The ONSPD relates both current and terminated postcodes in the United Kingdom to a range of current statutory administrative, electoral, health and other area geographies. It also links postcodes to pre-2002 health areas, 1991 Census enumeration districts for England and Wales, 2001 Census Output Areas (OA) and Super Output Areas (SOA) for England and Wales, 2001 Census OAs and SOAs for Northern Ireland and 2001 Census OAs and Data Zones (DZ) for Scotland. It now contains 2021 Census OAs and SOAs for England, Wales and Northern Ireland. It helps support the production of area-based statistics from postcoded data. The ONSPD is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The ONSPD is issued quarterly. (File size - 231 MB) Please note that this product contains Royal Mail, Gridlink, LPS (Northern Ireland), Ordnance Survey and ONS Intellectual Property Rights.

Product provided by Wappalyzer. Instant access to website technology stacks.

Lookup API Perform near-instant technology lookups with the Lookup API. Results are fetched from our comprehensive database of millions of websites. If we haven't seen a domain before, we'll index it immediately and report back within minutes.

This method returns the council tax band and the corresponding council tax figure.

Council tax bands are retrieved for each individual property, with tax values derived from levels set by local authorities. Figures include adult social care and parish precepts.

Address Format Recommendations

This method utilises sophisticated heuristics to match the searched property address to the council tax database. In 99% of cases, a match is found. However, please follow the recommendations below to achieve the best results:

1. The address should be sufficient to identify the exact property. If several properties correspond to the input, the method will return an error.
2. Best results are achieved when using the address derived from the SINGLE_LINE_ADDRESS field of the OS AddressBase datasets.
3. If you do not utilise OS AddressBase datasets, please include the following data: Flat, BuildingName, BuildingNumber, StreetName, Town or PostTown, Postcode.

We suggest using commas as delimiters as shown in this example. Some data points may not exist for each particular address. In this case, simply ignore them.

Address format examples:

5 WOODBINE TERRACE, EXETER, EX4 4LJ
where 5 is BuildingNumber, WOODBINE TERRACE is StreetName, EXETER is Town, EX4 4LJ is Postcode.

FLAT 1, CHARLOTTE COURT, INVERMEAD CLOSE, LONDON, W6 0WW
where FLAT 1 is Flat, CHARLOTTE COURT is BuildingName, INVERMEAD CLOSE is StreetName, LONDON is Town, W6 0WW is Postcode.

OpenWeb Ninja's Google Images Data (Google SERP Data) API provides real-time image search capabilities for images sourced from all public sources on the web.

The API enables you to search and access more than 100 billion images from across the web including advanced filtering capabilities as supported by Google Advanced Image Search. The API provides Google Images Data (Google SERP Data) including details such as image URL, title, size information, thumbnail, source information, and more data points. The API supports advanced filtering and options such as file type, image color, usage rights, creation time, and more. In addition, any Advanced Google Search operators can be used with the API.

OpenWeb Ninja's Google Images Data & Google SERP Data API common use cases:

• Creative Media Production: Enhance digital content with a vast array of real-time images, ensuring engaging and brand-aligned visuals for blogs, social media, and advertising.

• AI Model Enhancement: Train and refine AI models with diverse, annotated images, improving object recognition and image classification accuracy.

• Trend Analysis: Identify emerging market trends and consumer preferences through real-time visual data, enabling proactive business decisions.

• Innovative Product Design: Inspire product innovation by exploring current design trends and competitor products, ensuring market-relevant offerings.

• Advanced Search Optimization: Improve search engines and applications with enriched image datasets, providing users with accurate, relevant, and visually appealing search results.

OpenWeb Ninja's Annotated Imagery Data & Google SERP Data Stats & Capabilities:

• 100B+ Images: Access an extensive database of over 100 billion images.

• Images Data from all Public Sources (Google SERP Data): Benefit from a comprehensive aggregation of image data from various public websites, ensuring a wide range of sources and perspectives.

• Extensive Search and Filtering Capabilities: Utilize advanced search operators and filters to refine image searches by file type, color, usage rights, creation time, and more, making it easy to find exactly what you need.

• Rich Data Points: Each image comes with more than 10 data points, including URL, title (annotation), size information, thumbnail, and source information, providing a detailed context for each image.

Success.ai’s Online Search Trends Data API empowers businesses, marketers, and product teams to stay ahead by monitoring real-time online search behaviors of over 700 million users worldwide. By tapping into continuously updated, AI-validated data, you can track evolving consumer interests, pinpoint emerging keywords, and better understand buyer intent.

This intelligence allows you to refine product positioning, anticipate market shifts, and deliver hyper-relevant campaigns. Backed by our Best Price Guarantee, Success.ai’s solution provides the valuable insight needed to outpace competitors, adapt to changing market dynamics, and consistently meet consumer expectations.

Why Choose Success.ai’s Online Search Trends Data API?

1. Real-Time Global Insights

   • Leverage up-to-the-minute search data from users spanning all major industries, regions, and demographics.
   • Confidently tailor campaigns, content, and product roadmaps to match dynamic consumer interests and seasonality.

2. AI-Validated Accuracy

   • Rely on 99% data accuracy through AI-driven validation, reducing guesswork and improving conversion rates.
   • Make data-driven decisions supported by credible, continuously refreshed intelligence.

3. Continuous Data Updates

   • Stay aligned with changing market conditions, competitor moves, and evolving consumer behaviors as they happen.
   • Adapt swiftly to shifting trends, product demands, and industry developments, maintaining long-term relevance.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible data usage and brand protection.

Data Highlights:

• 700M+ Global User Insights: Access search trends, queries, and user behaviors for unparalleled audience understanding.
• Real-Time Updates: Maintain agility in content creation, product development, and marketing strategies.
• AI-Validated Accuracy: Trust in high-fidelity data to inform critical decisions, reducing wasted investments.
• Best Price Guarantee: Maximize ROI by accessing premium-quality data at unbeatable value.

Key Features of the Online Search Trends Data API:

1. On-Demand Trend Analysis

   • Query the API to identify emerging keywords, popular topics, and changing consumer priorities.
   • React rapidly to new opportunities, delivering content and offers that resonate with current market interests.

2. Advanced Filtering and Segmentation

   • Filter by region, industry vertical, time frames, or user attributes.
   • Focus on audiences and themes most relevant to your strategic goals, improving campaign performance and message relevance.

3. Real-Time Validation and Reliability

   • Benefit from AI-driven validation to ensure data integrity and accuracy.
   • Reduce risk, optimize resource allocation, and confidently direct initiatives supported by up-to-date, trustworthy data.

4. Scalable and Flexible Integration

   • Easily integrate the API into existing marketing automation platforms, analytics tools, or product management software.
   • Adjust parameters as goals evolve, ensuring long-term flexibility and alignment with strategic objectives.

Strategic Use Cases:

1. Product Development and Innovation

   • Identify rising user interests, unmet needs, or competitive gaps by analyzing search trends.
   • Shape product features, enhancements, or entirely new offerings based on verified consumer demand.

2. Content Marketing and SEO

   • Uncover trending topics, popular keywords, and seasonal interests to produce relevant content.
   • Improve organic reach, engagement, and lead generation by meeting users at the intersection of their search intent.

3. Market Entry and Expansion

   • Validate market readiness and user curiosity in new regions or niches.
   • Enter unfamiliar territories or launch product lines confidently, backed by real-time search insights.

4. Advertising and Campaign Optimization

   • Align ad creatives, messaging, and promotions with the most popular search terms.
   • Increase CTRs, conversions, and overall campaign efficiency by resonating more deeply with consumer interests.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access high-quality search trends data at the most competitive prices, ensuring exceptional ROI on data-driven initiatives.

2. Seamless Integration

   • Incorporate the API into your workflow with ease, enhancing productivity and eliminating data silos.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to guide strategies, refine targeting, and achieve stronger engagement outcomes.

4. Customizable and Scalable Solutions

   • Tailor datasets, filters, and time frames to your evolving market conditions, strategic ambitions, and audience needs.

Additional APIs for Enhanced Functionality:

1. Data Enrichment API
   • Combine search trends data with o...

Use Coresignal's Company API to explore and filter our extensive, regularly updated Companies dataset directly. Easily integrate this API into your workflow or use it to look up specific company records on demand. This tool is perfect for enhancing investing and lead generation efforts.

Two ways to use Company API

1. Search. Use specific parametric filters, such as location, industry, size, or specific keywords to narrow down your search and pull URL lists.

2. Enrichment. Enrich your data using specific URLs or IDs to pull full records thanks to the 1:1 type matching.

High level index to the contents of the boxes of Primary Geological Data resulting from deep underground coal exploration and exploitation in Great Britain donated by the Coal Authority in July 2001. Data for past and current collieries and for future prospects including borehole site plans, borehole logs , analyses and geophysical data etc. This index will diminish in importance as these data are merged with existing collections.

Oracle index to records of some 3500 waste sites in England and Wales identified by BGS as part of a survey carried out on behalf of the Departement of the Environment in 1973. The index has been corrected and updated to a limited extent, but the data itself has not been changed. The data was collected in 1972 and the information reflects the knowledge at that time. It does not reflect current interpretation. Not all authorities made returns and there are not records for all of the sites listed. However, the data is an invaluable source of information about pre-1974 sites. Information includes site name, location and risks to aquifers. It should be noted that the assessments were carried out when the data was collected and may not reflect current interpretation.

Records of some 3500 waste sites in England and Wales identified by BGS as part of a survey carried out on behalf of the Department of the Environment in 1973. Information is included on the extent of the site, geology, wastes and risks to aquifers It should be noted that the assessments were carried out when the data was collected and may not reflect current interpretation. There are not records for all of the sites listed.

This dataset of paper records holds details of analysis of all the sample batches (from both internal and external customers) analysed by the Analytical Geochemistry Laboratory of the BGS since June 1996. It was installed to underpin the UKAS (United Kingdom Accreditation Service) accreditation of the geochemistry laboratories at Keyworth, which was awarded in August 1999. There is a file for each batch of samples submitted for analysis. The file documents the progress of the samples through the laboratories, including sample registration, sample processing, raw data from analytical instruments and the data reported to the client. The records are archived to provide supporting evidence for any query regarding geochemical data provided by the laboratories.

BGS’s Data Catalogue, which provides Open Geospatial Consortium "Catalogue Service for the Web" (CSW) access to information about British Geological Survey (BGS) datasets, services (including APIs), and series. At present, this is mainly used to feed data.gov.uk for other information about BGS please go to our website (https://www.bgs.ac.uk/) and data pages (https://www.bgs.ac.uk/geological-data/).

This dataset has been withdrawn and is no longer avaible from BGS The database contains satellite images of the UK purchased by the BGS or on its behalf by NERC. It includes data from the Lansdat, SPOT, Radarsat and ERS satellites. The images are stored in proprietary format on various types of magnetic media. The data are currently stored by path-row scene numbers and as mosaics on tapes, CDs and drives. Entire UK is covered by the dataset, however, there are gaps in coverage from individual sensors. Coverage exists for countries (or parts of countries) where work has been carried out.

New acquisitions of all forms of geological data received from external organisations are recorded in the accessions database and the digital or analogue data itself is then available to users. Data is in the form of reports, plans and digital information. This information comes from a wide variety of sources, including public bodies and agencies and commercial organisations. The data itself will be incorporated into existing corporate collections or may form a new collection in its own right. The rate of transfer will depend on priorities and requirements of both internal and external users. Data is continuously removed from the collection, all except recently received material will have been processed.

Primary forest cover and forest cover loss in Wallacea for the years 2000-2018 to train a deforestation model and produce maps of projected probability of deforestation until 2053. Full details about this dataset can be found at https://doi.org/10.5285/c7148c20-c6b3-43e1-9f99-b6e38e4dfdaf

This national dataset brings together sixteen national datasets to create a GIS product that provides the information necessary to determine the extent to which the ground is suitable for infiltration sustainable drainage systems (SuDS). It includes derivations of the following datasets: soluble rocks, landslide hazards, groundwater flooding susceptibility, made ground, shallow mining hazards, geological indicators of flooding, depth to water table, superficial thickness, compressible ground, collapsible ground, swelling clays, running sands, predominant flow mechanism, permeability indices and the Environment Agencys source protection zone dataset. All datasets have been reclassified and reattributed (with text descriptions and a score field indicating the suitability of the ground for infiltration) and feature in the end product both as single entities, but also in derived 'screening' maps that combine numerous datasets.

Hourly and minute means of the geomagnetic field vector components from observatories around the world from, respectively, 1883 and 1969, to the present day. At present there are about 160 observatories. These data are useful for tracking changes in the magnetic field generated inside and outside the Earth. Data are produced by a number of organisations around the world, including BGS. Data are available in plain text from www.wdc.bgs.ac.uk.

GIS Data Layer and Database including maps and detailed Indexes. Paper records and photographs, descriptive register is paper version from which the digital version was created. Data mainly captured in 1989, infrequent additions (approximately 1 entry per year) since then. Includes all man-made caves known to BGS in Nottingham, but there are many more to be located in the future.

This index is a list of specimens and slides taken from the John Smith Collection and placed in the Type and Stratigraphical (T&S) Collection of Scotland and Northern England. To some extent it is the digital equivalent to part of the T&S analogue card index which is held in BGS Edinburgh. The data, however, appears to have been derived from the 5 leather bound volumes of the T&S register. The latter are held in BGS Keyworth, but equivalent information (microfilm and paper records) is held in BGS Edinburgh. The MS Access database (BGS_SMITH_GSE) contains 1123 records, it links the T&S register with that of the John Smith Collection (8 bound volumes held at BGS Edinburgh) and provides limited information on taxonomy, nomenclatural status and chronostratigraphy. It also has provision for stating where the specimen is housed. The repository of BGS John Smith specimens is the Edinburgh office.