#api with google sheets

[trunao]

How Can Excel Be Linked to an API?

Are you looking for How to Link an API to Excel? Trunao LLC is the best option for all info about API to an Excel sheet. We provide some easy ways Link an API to Excel, like Power Query, Vba, etc. For detailed information on API with Google Sheets, visit our blog!

[ashtonfei]

[no-code-integration-porn]

[rythyme]

Introducing the Thai Drama AO3 Trends Dashboard! (Beta) 🇹🇭

Over the last several weeks or so I've been building an auto-scraping setup to get AO3 stats on Thai Drama fandoms. Now I finally have it ready to share out!

Take a look if you're interested and let me know what you think :)

(More details and process info under the cut.)

Main Features

This dashboard pulls in data about the quantity of Thai Drama fics over time.

Using filters, it allows you to break that data down by drama, fandom size, air date, and a select number of MyDramaList tags.

You can also see which fandoms have had the most new fics added on a weekly basis, plus the growth as a percentage of the total.

My hope is that this will make it easier to compare Thai Drama fandoms as a collective and pick out trends that otherwise might be difficult to see in an all-AO3 dataset.

Process

Okay -- now for the crunchy stuff...

Scraping 🔎

Welcome to the most over-complicated Google Sheets spreadsheet ever made.

I used Google Sheets formulas to scrape certain info from each Thai Drama tag, and then I wrote some app scripts to refresh the data once a day. There are 5 second breaks between the refreshes for each fandom to avoid overwhelming AO3's servers.

Archiving 📁

Once all the data is scraped, it gets transferred to a different Archive spreadsheet that feeds directly into the data dashboard. The dashboard will update automatically when new data is added to the spreadsheet, so I don't have to do anything manually.

Show Metadata 📊

I decided to be extra and use a (currently unofficial) MyDramaList API to pull in data about each show, such as the year it came out and the MDL tags associated with it. Fun! I might pull in even more info in the future if the mood strikes me.

Bonus - Pan-Fandom AO3 Search

Do you ever find it a bit tedious to have like, 15 different tabs open for the shows you're currently reading fic for?

While making this dash, I also put together this insane URL that basically serves as a "feed" for any and all new Thai drama fics. You can check it out here! It could be useful if you like checking for new fics in multiple fandoms at once. :)

Other Notes

Consider this dashboard the "beta" version -- please let me know if you notice anything that looks off. Also let me know if there are any fandoms missing! Thanks for checking it out!

The inspiration for this dashboard came from @ao3-anonymous 's AO3 Fandom Trend Analysis Dashboard, which I used as a jumping off point for my own data dash. Please give them some love <3

[disease]

LIST: iOS SHORTCUTS

• Spotify to MP3 | "Download Spotify tracks to MP3." • All Media Downloader | "This shortcut helps you download content from social media apps." • Web Services | "Customise the internet for you." • Better GIF Maker | "Convert videos and live photos to GIFs at highest quality using ffmpeg" • Water Eject | "Powerful water ejection system." • Paywall and Cookie Bypass | "Bypass website paywalls and cookies." • iUtilities | "The only shortcut you’ll need" • Reverse Image Search | "Search by image instead of keywords" • Google Translate | "Quickly translate using the Google Translate API" • iTweak Final Version | "A Jailbreak Alternative With Multiple Features!"

...WHAT ARE SHORTCUTS?

for those unaware: the pre-installed Shortcuts app on iOS/macOS/iPadOS can potentially be a life-changing application in regards to digital productivity.

it's utilized as a hub for your collection of shortcuts and automations. shortcuts allow for just a single click—which many times is conveniently incorporated onto your "share" sheet option panel—to execute one or multiple actions; automations are chosen commands that run at specific/relative times of day without prompt.

people tend to overlook the Shortcuts app due to its available "gallery" of shortcuts being rather limited... with the only other option provided being to build these desired actions yourself, which requires the skill of digital coding. however! that's where RoutineHub comes in: it's a website allowing users to share their own complex shortcuts, free of charge, and has a large selection to choose from.

RoutineHub: Shortcuts {by Popularity}

[akonaman]

Everytime i hear news about POGOs feeling ko nag kaka justice na yung trauma na inabot ko nung 2019 Alam kong madami yung mawawalan ng trabaho but Filipinos deserve better.

- Most of the Chinese na nagwowork sa POGO are not using their real name pag pasok ng Pinas. Kaya takot na takot sila lumabas even sa mall kase baka ma question yung pagkatao nila. Kaya di na ko nagtaka kung pano nakalusot si Mayor Alice Guo. Some of them are using an English name.

- Uso kidnapping sa kanila and kapwa Chinese pa nila yung gumagawa nun kase wala naman silang bank account and puro lang sila cash pag sumasahod. 150k+ sahod nila kase once a month lang rd nila. Pero sahod na yun ng limang pinoy sa POGO.

- I won’t forget how disrespectful yung mga Chinese na kawork namin na lalaki. Most of them mas gustong babae yung partner ng Chinese on shift kase nakakapikon talaga yung ugali nila and prone sila sa away. Naranasan kong may nagsusuntukan sa harap ko while on shift. Very unprofessional. Mga bastos pa, they are sexualizing girls na kawork nila including us.

- Mostly na kinukuha nila is mga Chinese nationals na farmers, mga di nakapag aral, and laki sa hirap. Nothing wrong with being a farmer pero i would say na yung iba talaga sa kanila, wala talagang modo and halatang walang pinag aralan.

- Mapanakit sila. Nung naka gy shift ako that time may isang Chinese na trip talaga ko saktan. Habang naka break ako sa labas ng office dinaganan niya yung hita ko ng walang rason and sobrang nagpasa siya. Pinalagpas ko yun kase paborito yun ng boss. Take note na lalaki siya. There are times na bigla nya iuurong yung lamesa na kahoy minsan pag trip nya and babatuhin niya ko ng crumpled paper for no reason. He also used spoon sa balikat ko to call my attention habang kumakain ako ng lomi.

- Tatanggalin ka nila kapag may mistakes ka sa transaction. Puro pera from gambling yung need naming isend from diff banks and may isang Chinese dun na ang lala ng galit sakin. He mentioned thru google translate na malas daw ako. Shuta never ako nagka mistake sa transactions ko kase sobra akong nag iingat. Kalahating araw niya kong pinagmumura in Chinese dahil lang ako partner nya that day and hindi gumana yung pc nya.

- 12 hrs shift mo with 30 mins lunch. Literal na para kang OFW vibe pag andun ka. Yung feeling na alipin ka sa sarili mong bansa. Yung boss namin na Chinese nagagalit ng walang dahilan. Very unreasonable. Nahuli nya kong nagsasalamin and shuta sinigawan nya ko. Yung nag mentor naman sakin na babae, napuno na kase kumuha lang siya ng tissue sa box ang dami ng sinabi nung Chinese. Haha Pinakyuhan ni ate geraldine yung boss namin sabay Resign kinabukasan.

- Kung pera lang ang usapan I would say na eto yung pinaka madaling work na ginawa ko. Kase encoder kalang and same excel sheet lang gagamitin mo everyday. Pero wala siyang growth kase most of the time naka tunganga ka lang.

- I hate my experience in POGO given that 2 mos lang naman tinagal ko dahil gusto ko magpahinga sa BPO, mas ok na kong sigawan ng mga kano sa calls kesa maging alipin ng mga Chinese. Working environment there was awful for me. And inhumane. It was an eyeopener for me na wag magpa api sa sariling mong bansa.

- Some had good experiences with POGO, given that pumapantay at humihigit pa nga sa sahod ng mga bpo workers, pero sana hindi nila ma experience yung mga naexperience ko.

- There are still good Chinese na nakilala ako. Some of them kumapit na lang siguro sa ganitong trabaho to help their families in China. Sila lang yung mga pinagpepray ko na sana ok pa rin up until now.

PERO SATIN PA RIN ANG WEST PHILIPPINES SEA.

[uegub]

Why Tableau is Essential in Data Science: Transforming Raw Data into Insights

Data science is all about turning raw data into valuable insights. But numbers and statistics alone don’t tell the full story—they need to be visualized to make sense. That’s where Tableau comes in.

Tableau is a powerful tool that helps data scientists, analysts, and businesses see and understand data better. It simplifies complex datasets, making them interactive and easy to interpret. But with so many tools available, why is Tableau a must-have for data science? Let’s explore.

1. The Importance of Data Visualization in Data Science

Imagine you’re working with millions of data points from customer purchases, social media interactions, or financial transactions. Analyzing raw numbers manually would be overwhelming.

That’s why visualization is crucial in data science:

Identifies trends and patterns – Instead of sifting through spreadsheets, you can quickly spot trends in a visual format.

Makes complex data understandable – Graphs, heatmaps, and dashboards simplify the interpretation of large datasets.

Enhances decision-making – Stakeholders can easily grasp insights and make data-driven decisions faster.

Saves time and effort – Instead of writing lengthy reports, an interactive dashboard tells the story in seconds.

Without tools like Tableau, data science would be limited to experts who can code and run statistical models. With Tableau, insights become accessible to everyone—from data scientists to business executives.

2. Why Tableau Stands Out in Data Science

A. User-Friendly and Requires No Coding

One of the biggest advantages of Tableau is its drag-and-drop interface. Unlike Python or R, which require programming skills, Tableau allows users to create visualizations without writing a single line of code.

Even if you’re a beginner, you can:

✅ Upload data from multiple sources

✅ Create interactive dashboards in minutes

✅ Share insights with teams easily

This no-code approach makes Tableau ideal for both technical and non-technical professionals in data science.

B. Handles Large Datasets Efficiently

Data scientists often work with massive datasets—whether it’s financial transactions, customer behavior, or healthcare records. Traditional tools like Excel struggle with large volumes of data.

Tableau, on the other hand:

Can process millions of rows without slowing down

Optimizes performance using advanced data engine technology

Supports real-time data streaming for up-to-date analysis

This makes it a go-to tool for businesses that need fast, data-driven insights.

C. Connects with Multiple Data Sources

A major challenge in data science is bringing together data from different platforms. Tableau seamlessly integrates with a variety of sources, including:

Databases: MySQL, PostgreSQL, Microsoft SQL Server

Cloud platforms: AWS, Google BigQuery, Snowflake

Spreadsheets and APIs: Excel, Google Sheets, web-based data sources

This flexibility allows data scientists to combine datasets from multiple sources without needing complex SQL queries or scripts.

D. Real-Time Data Analysis

Industries like finance, healthcare, and e-commerce rely on real-time data to make quick decisions. Tableau’s live data connection allows users to:

Track stock market trends as they happen

Monitor website traffic and customer interactions in real time

Detect fraudulent transactions instantly

Instead of waiting for reports to be generated manually, Tableau delivers insights as events unfold.

E. Advanced Analytics Without Complexity

While Tableau is known for its visualizations, it also supports advanced analytics. You can:

Forecast trends based on historical data

Perform clustering and segmentation to identify patterns

Integrate with Python and R for machine learning and predictive modeling

This means data scientists can combine deep analytics with intuitive visualization, making Tableau a versatile tool.

3. How Tableau Helps Data Scientists in Real Life

Tableau has been adopted by the majority of industries to make data science more impactful and accessible. This is applied in the following real-life scenarios:

A. Analytics for Health Care

Tableau is deployed by hospitals and research institutions for the following purposes:

Monitor patient recovery rates and predict outbreaks of diseases

Analyze hospital occupancy and resource allocation

Identify trends in patient demographics and treatment results

B. Finance and Banking

Banks and investment firms rely on Tableau for the following purposes:

✅ Detect fraud by analyzing transaction patterns

✅ Track stock market fluctuations and make informed investment decisions

✅ Assess credit risk and loan performance

C. Marketing and Customer Insights

Companies use Tableau to:

✅ Track customer buying behavior and personalize recommendations

✅ Analyze social media engagement and campaign effectiveness

✅ Optimize ad spend by identifying high-performing channels

D. Retail and Supply Chain Management

Retailers leverage Tableau to:

✅ Forecast product demand and adjust inventory levels

✅ Identify regional sales trends and adjust marketing strategies

✅ Optimize supply chain logistics and reduce delivery delays

These applications show why Tableau is a must-have for data-driven decision-making.

4. Tableau vs. Other Data Visualization Tools

There are many visualization tools available, but Tableau consistently ranks as one of the best. Here’s why:

Tableau vs. Excel – Excel struggles with big data and lacks interactivity; Tableau handles large datasets effortlessly.

Tableau vs. Power BI – Power BI is great for Microsoft users, but Tableau offers more flexibility across different data sources.

Tableau vs. Python (Matplotlib, Seaborn) – Python libraries require coding skills, while Tableau simplifies visualization for all users.

This makes Tableau the go-to tool for both beginners and experienced professionals in data science.

5. Conclusion

Tableau has become an essential tool in data science because it simplifies data visualization, handles large datasets, and integrates seamlessly with various data sources. It enables professionals to analyze, interpret, and present data interactively, making insights accessible to everyone—from data scientists to business leaders.

If you’re looking to build a strong foundation in data science, learning Tableau is a smart career move. Many data science courses now include Tableau as a key skill, as companies increasingly demand professionals who can transform raw data into meaningful insights.

In a world where data is the driving force behind decision-making, Tableau ensures that the insights you uncover are not just accurate—but also clear, impactful, and easy to act upon.

[fermented-writers-block]

Hey all, small update on the r/InfinityTrain archive efforts here.

As it turns out, the mods on the subreddit have opened it back up to the public and I am no longer the only person allowed to view it, so you can go and check it out now.

That being said, with tomorrow being the start of the API changes, it’d still be in your best interests to archive what you can and want to while Reddit still works. In the meantime, since it’s still the last day of Pride month at the time of starting this draft and because I’ve managed to do a considerable amount of work without yet losing steam, I’m happy to share a peek at the current progress on my subreddit archive:

As you can see, I’m still going to finish my archiving of what I can, as who knows what may happen to the original information sources.

Especially because Twitter now requires you to have an account to do anything - including merely browsing and seeing posts - and who knows whether embed support on other sites will be going away too.

In other words, if you want to still have a guaranteed way to check info from the Twitter accounts of the crew but don’t want to make an account/in case Twitter gets royally screwed up, it is incredibly important to document any and all concept art, post threads, and links shared by the Infinity Train crew.

In fact, I have set up a Google drive folder to consolidate efforts into one place for all who wants to help with this task below:

Inside, I have set up two folders: posts by the crew, and noteworthy fan art/analysis by fans that the crew have taken particular note of. And to help with organizing all the links and information together, I have set up the simplified google sheet below:

For the process of organizing, here’s a general outline of how archiving can be done:

Find the Twitter post you want to archive, whether it’s in a Discord server, on the Wayback Machine website (since Owen mass deleted his tweets often),

Copy the link to the Google sheet with - if you can - the month and year the post was created

Take a picture of the full post/decent chunks of a Twitter thread

If possible, change the file name of the picture to a title or brief description outlining the content within the post

Upload the photo to the respective subfolder and type the file name in the respective Google Sheet

Now, I have a few additional docs and subfolders than these key ones, but I hope that the drive is overall easy to navigate and understand, and here’s to saving Infinity Train fandom history for all to see and know that we were here!

[techfinna]

Top 5 Selling Odoo Modules.

In the dynamic world of business, having the right tools can make all the difference. For Odoo users, certain modules stand out for their ability to enhance data management and operations. To optimize your Odoo implementation and leverage its full potential. 

That's where Odoo ERP can be a life savior for your business. This comprehensive solution integrates various functions into one centralized platform, tailor-made for the digital economy. 

Let’s drive into 5 top selling module that can revolutionize your Odoo experience:

Dashboard Ninja with AI, Odoo Power BI connector, Looker studio connector, Google sheets connector, and Odoo data model.

1. Dashboard Ninja with AI: 

Using this module, Create amazing reports with the powerful and smart Odoo Dashboard ninja app for Odoo. See your business from a 360-degree angle with an interactive, and beautiful dashboard.

Some Key Features:

Real-time streaming Dashboard

Advanced data filter

Create charts from Excel and CSV file

Fluid and flexible layout

Download Dashboards items

This module gives you AI suggestions for improving your operational efficiencies.

2. Odoo Power BI Connector:

This module provides a direct connection between Odoo and Power BI Desktop, a Powerful data visualization tool.

Some Key features:

Secure token-based connection.

Proper schema and data type handling.

Fetch custom tables from Odoo.

Real-time data updates.

With Power BI, you can make informed decisions based on real-time data analysis and visualization.

3. Odoo Data Model: 

The Odoo Data Model is the backbone of the entire system. It defines how your data is stored, structured, and related within the application.

Key Features:

Relations & fields: Developers can easily find relations ( one-to-many, many-to-many and many-to-one) and defining fields (columns) between data tables. 

Object Relational mapping: Odoo ORM allows developers to define models (classes) that map to database tables.

The module allows you to use SQL query extensions and download data in Excel  Sheets.

4. Google Sheet Connector:

This connector bridges the gap between Odoo and Google Sheets.

Some Key features:

Real-time data synchronization and transfer between Odoo and Spreadsheet.

One-time setup, No need to wrestle with API’s.

Transfer multiple tables swiftly.

Helped your team’s workflow by making Odoo data accessible in a sheet format.

5.  Odoo Looker Studio Connector:

Looker studio connector by Techfinna easily integrates Odoo data with Looker, a powerful data analytics and visualization platform.

Some Key Features:

Directly integrate Odoo data to Looker Studio with just a few clicks.

The connector automatically retrieves and maps Odoo table schemas in their native data types.

Manual and scheduled data refresh.

Execute custom SQL queries for selective data fetching.

The Module helped you build detailed reports, and provide deeper business intelligence.

 These  Modules will improve analytics, customization, and reporting. Module setup can significantly enhance your operational efficiency. Let’s embrace these modules and take your Odoo experience to the next level. 

Need Help?

I hope you find the blog helpful. Please share your feedback and suggestions.

For flawless Odoo Connectors, implementation, and services contact us at 

info@techfinna.com Or www.techneith.com  

[mariacallous]

The open internet once seemed inevitable. Now, as global economic woes mount and interest rates climb, the dream of the 2000s feels like it’s on its last legs. After abruptly blocking access to unregistered users at the end of last month, Elon Musk announced unprecedented caps on the number of tweets—600 for those of us who aren’t paying $8 a month—that users can read per day on Twitter. The move follows the platform’s controversial choice to restrict third-party clients back in January.

This wasn’t a standalone event. Reddit announced in April that it would begin charging third-party developers for API calls this month. The Reddit client Apollo would have to pay more than $20 million a year under new pricing, so it closed down, triggering thousands of subreddits to go dark in protest against Reddit’s new policy. The company went ahead with its plan anyway.

Leaders at both companies have blamed this new restrictiveness on AI companies unfairly benefitting from open access to data. Musk has said that Twitter needs rate limits because AI companies are scraping its data to train large language models. Reddit CEO Steve Huffman has cited similar reasons for the company’s decision to lock down its API ahead of a potential IPO this year.

These statements mark a major shift in the rhetoric and business calculus of Silicon Valley. AI serves as a convenient boogeyman, but it is a distraction from a more fundamental pivot in thinking. Whereas open data and protocols were once seen as the critical cornerstone of successful internet business, technology leaders now see these features as a threat to the continued profitability of their platforms.

It wasn’t always this way. The heady days of Web 2.0 were characterized by a celebration of the web as a channel through which data was abundant and widely available. Making data open through an API or some other means was considered a key way to increase a company’s value. Doing so could also help platforms flourish as developers integrated the data into their own apps, users enriched datasets with their own contributions, and fans shared products widely across the web. The rapid success of sites like Google Maps—which made expensive geospatial data widely available to the public for the first time—heralded an era where companies could profit through free, mass dissemination of information.

“Information Wants To Be Free” became a rallying cry. Publisher Tim O’Reilly would champion the idea that business success in Web 2.0 depended on companies “disagreeing with the consensus” and making data widely accessible rather than keeping it private. Kevin Kelly marveled in WIRED in 2005 that “when a company opens its databases to users … [t]he corporation’s data becomes part of the commons and an invitation to participate. People who take advantage of these capabilities are no longer customers; they’re the company’s developers, vendors, skunk works, and fan base.” Investors also perceived the opportunity to generate vast wealth. Google was “most certainly the standard bearer for Web 2.0,” and its wildly profitable model of monetizing free, open data was deeply influential to a whole generation of entrepreneurs and venture capitalists.

Of course, the ideology of Web 2.0 would not have evolved the way it did were it not for the highly unusual macroeconomic conditions of the 2000s and early 2010s. Thanks to historically low interest rates, spending money on speculative ventures was uniquely possible. Financial institutions had the flexibility on their balance sheets to embrace the idea that the internet reversed the normal laws of commercial gravity: It was possible for a company to give away its most valuable data and still get rich quick. In short, a zero interest-rate policy, or ZIRP, subsidized investor risk-taking on the promise that open data would become the fundamental paradigm of many Google-scale companies, not just a handful.

Web 2.0 ideologies normalized much of what we think of as foundational to the web today. User tagging and sharing features, freely syndicated and embeddable links to content, and an ecosystem of third-party apps all have their roots in the commitments made to build an open web. Indeed, one of the reasons that the recent maneuvers of Musk and Huffman seem so shocking is that we have come to expect data will be widely and freely available, and that platforms will be willing to support people that build on it.

But the marriage between the commercial interests of technology companies and the participatory web has always been one of convenience. The global campaign by central banks to curtail inflation through aggressive interest rate hikes changes the fundamental economics of technology. Rather than facing a landscape of investors willing to buy into a hazy dream of the open web, leaders like Musk and Huffman now confront a world where clear returns need to be seen today if not yesterday.

This presages major changes ahead for the design of the internet and the rights of users. Twitter and Reddit are pioneering an approach to platform management (or mismanagement) that will likely spread elsewhere across the web. It will become increasingly difficult to access content without logging in, verifying an identity, or paying a toll. User data will become less exportable and less shareable, and there will be increasingly fewer expectations that it will be preserved. Third-parties that have relied on the free flow of data online—from app-makers to journalists—will find APIs ever more expensive to access and scraping harder than ever before.

We should not let the open web die a quiet death. No doubt much of the foundational rhetoric of Web 2.0 is cringeworthy in the harsh light of 2023. But it is important to remember that the core project of building a participatory web where data can be shared, improved, critiqued, remixed, and widely disseminated by anyone is still genuinely worthwhile.

The way the global economic landscape is shifting right now creates short-sighted incentives toward closure. In response, the open web ought to be enshrined as a matter of law. New regulations that secure rights around the portability of user data, protect the continued accessibility of crucial APIs to third parties, and clarify the long-ambiguous rules surrounding scraping would all help ensure that the promise of a free, dynamic, competitive internet can be preserved in the coming decade.

For too long, advocates for the open web have implicitly relied on naive beliefs that the network is inherently open, or that web companies would serve as unshakable defenders of their stated values. The opening innings of the post-ZIRP world show how broader economic conditions have actually played the larger role in architecting how the internet looks and feels to this point. Believers in a participatory internet need to reach for stronger tools to mitigate the effects of these deep economic shifts, ensuring that openness can continue to be embedded into the spaces that we inhabit online.

WIRED Opinion publishes articles by outside contributors representing a wide range of viewpoints. Read more opinions here. Submit an op-ed at ideas@wired.com.

[knuckleduster]

obviously we don't know exactly how this is being done but from what i understand this new midjourney deal (if it even happens) is specifically about tumblr giving midjourney access to the Tumblr API, which it previously did not have. various datasets used in AI training probably already include data from Tumblr because they either scraped data from Tumblr specifically (something that is probably technically against TOS but can be done without accessing the API, also something I have personally done many times on websites like TikTok and Twitter for research) or from google (which indexes links and images posted to Tumblr that you can scrape without even going on Tumblr). The API, which I currently have access to bc of my university, specifically allows you to create a dataset from specific blogs and specific tags. This dataset for tags looks basically exactly like the tag page you or i would have access to, with only original posts showing up but with all of the metadata recorded explicitly (all info you have access to from the user interface of Tumblr itself, just not always extremely clearly). For specific blogs it does include reblogs as well, but this generally seems like a less useful way of collecting data unless you are doing research into specific users (not something i am doing). It depends on your institution what the limits of this API are of course, and it does seem a bit concerning that Tumblr internally seems to have a version that includes unanswered asks, private posts, drafts etc but through the API itself you cannot get these posts. If you choose to exclude your blog from 3rd party partners, what it seems like Tumblr is doing is just removing your original posts from being indexed in any way, so not showing up on Google, not showing up in tags, in searches etc. This means your original posts arent showing up when asking the API for all posts in a specific tag, and it probably also makes it impossible to retrieve a dataset based on your blog. This means it doesnt just exclude your posts and blog from any dataset midjourney creates (if they even take the deal), it's also excluded from the type of research i'm doing (not saying this as a guilt trip, i already have my datasets so i dont care) and it's seemingly excluded from all on-site searches by other users. it's also important to note that every single thing you can do with the Tumblr API to collect data on posts and users you could feasibly also do manually by scrolling while logged in and just writing everything down in an excel sheet.

[ashtonfei]

Upwork Projects: Automating Photo Labeling with Vision API and Apps Script https://upwork-projects.blogspot.com/2024/09/upwork-020.html

[fernando-arciniega]

🚀 La Vanguardia de la Inteligencia Artificial: Un Vistazo a las Innovaciones de Google

Descripción de la imagen: Imagen destacada que ilustra diversas aplicaciones de la inteligencia artificial de Google, desde modelos generativos hasta asistentes inteligentes. Google se encuentra en la frontera de la inteligencia artificial (IA), desarrollando soluciones innovadoras que están transformando la manera en que interactuamos con la tecnología y el mundo que nos rodea. En este artículo, exploraremos algunos de los modelos y aplicaciones de Google AI más recientes y destacados.

🧠 Modelos Fundamentales que Impulsan el Futuro

La base de muchas de las capacidades de IA de Google reside en sus potentes modelos fundacionales: - ✨ Gemini: El modelo multimodal más avanzado de Google, ofreciendo capacidades sin precedentes en texto, imágenes, audio y video. Disponible en versiones Ultra, Pro y Nano para diversas necesidades. - 💡 Gemma: Una familia de modelos abiertos y ligeros, derivados de la tecnología de Gemini, que permiten a la comunidad de desarrolladores innovar. - 🖼️ Imagen: Un modelo de vanguardia para la generación de imágenes de alta calidad a partir de descripciones textuales. - 🎬 Veo: La última innovación en generación de video, capaz de crear videos de alta definición y realizar edición avanzada. - 🎶 Lyria: El modelo de Google para la generación de música, ahora con la emocionante función Lyria RealTime. - 🧬 AlphaFold: Un logro revolucionario de DeepMind que utiliza la IA para predecir la estructura de las proteínas, con profundas implicaciones para la ciencia.

⚙️ Integrando la IA en Nuestros Productos Diarios

La inteligencia artificial de Google no se limita a modelos abstractos; está integrada en los productos y servicios que utilizamos a diario: - 🔍 Búsqueda de Google: La IA mejora continuamente la relevancia y la comprensión de las búsquedas, ofreciendo respuestas más completas y la nueva función de resumen impulsado por IA. - 📱 Aplicación Gemini: Un asistente de IA personal que puedes llevar contigo para obtener ayuda en diversas tareas. - 💼 Google Workspace: Funciones inteligentes como Redacción Inteligente, Respuesta Inteligente y Asistencia para la escritura optimizan la productividad en Gmail, Docs, Sheets y más. - 📚 NotebookLM: Un poderoso asistente de investigación con IA capaz de analizar documentos y extraer información clave. - ✨ Project Astra: Una visión del futuro de los asistentes de IA universales, explorando interacciones más naturales e intuitivas. - 🎨 Herramientas Creativas con IA: Experimentos innovadores como Music AI Sandbox y GenType abren nuevas posibilidades creativas. - 📸 Dispositivos Pixel: Funciones impulsadas por IA como Magic Editor y Borrador Mágico transforman la edición de fotos. - 🤖 Android: Funciones como Circle to Search demuestran cómo la IA puede hacer que la información sea más accesible.

👨‍💻 Potenciando a los Desarrolladores con Herramientas de IA

Google también ofrece potentes plataformas y herramientas para que los desarrolladores construyan sus propias aplicaciones de IA: - 🧪 Google AI Studio: Un entorno web gratuito para experimentar y prototipar con los modelos de IA de Google. - ☁️ Vertex AI: Una plataforma integral en la nube para el desarrollo, implementación y escalado de soluciones de aprendizaje automático. - 🧩 Cloud AI APIs: Un conjunto de APIs preentrenadas para tareas específicas como visión, lenguaje natural y voz.

🔬 Investigación Continua para el Mañana

A través de equipos como Google DeepMind y Google Research, Google sigue explorando los límites de la IA en áreas como el procesamiento del lenguaje natural, la visión por computadora, la robótica y la salud, siempre con un enfoque en la IA responsable. El panorama de la inteligencia artificial está en constante evolución, y Google se mantiene a la vanguardia de esta transformación. Mantente atento a futuras actualizaciones y descubrimientos que seguirán moldeando nuestro mundo. Read the full article

[fitzinabox]

Connect, Automate, and Simplify: How AiSentr Works With the Tools You Already Use

AI That Fits Into Your Workflow

Every business has a tech stack. It might include Slack for internal communication, Microsoft Teams for collaboration, Gmail or Outlook for email, and WhatsApp for client outreach. These tools are essential, but they don’t always talk to each other — and that’s where bottlenecks begin. Add in the growing amount of business-critical data living in places like Google Drive, SharePoint, Notion, or Salesforce, and it becomes clear that simply “using tools” isn’t enough anymore. To stay efficient, responsive, and competitive, businesses need a way to connect it all — and make it work smarter.

AiSentr was built to meet this exact need. It integrates directly into your existing systems, letting your team continue using the apps they already know and love while tapping into the power of AI behind the scenes. That means no data migration, no steep learning curve, and no disruption to your workflow. Whether you’re retrieving a document in OneDrive, checking CRM activity in Hubspot, or managing messages in Outlook, AiSentr provides a unified layer of intelligence that enhances rather than replaces.

No Code. No Complexity. No Catch.

Traditional AI solutions are powerful, but they’re often locked behind complex implementation processes. They require development resources, data engineering teams, and weeks — or even months — of setup time. For small and medium-sized businesses, that’s just not realistic. AiSentr removes that barrier entirely.

Our platform is 100% no-code. If you can use a form builder or drag-and-drop interface, you can use AiSentr. You don’t need to worry about APIs, data schemas, or scripts. You can train AI agents to understand your workflows, interact with customers, summarize reports, or generate answers using your company’s own documents — all without writing a single line of code. It’s AI built for people, not just programmers.

And because you’re working with your real data — messy, unstructured, and stored in multiple places — AiSentr is designed to handle it. Whether it’s PDFs in Google Drive, Excel sheets in SharePoint, or wikis in Confluence, our platform pulls insights directly from where your data already lives. There’s no need to clean or reformat anything first.

Agent-Based AI That Adapts

The real magic behind AiSentr lies in our agentic architecture. Rather than giving you a single chatbot with canned responses, AiSentr provides intelligent, task-oriented agents that understand context, take initiative, and collaborate with your team. These aren’t one-size-fits-all bots. They’re adaptive tools that respond to your specific business needs in real time.

An agent might handle customer inquiries coming through WhatsApp, pulling relevant answers from your documentation stored in Notion or Confluence. Another might monitor a shared Gmail inbox and route leads directly into Salesforce or Dynamics. Yet another could summarize a conversation in Slack and push action items to your project tracker. This isn’t science fiction — it’s a new way of working, and it’s already happening inside businesses using AiSentr.

These agents don’t require ongoing manual input. Once they’re set up, they continue to learn and improve over time. And because they’re designed around real-world business use cases, they operate with purpose — not just personality.

Security and Privacy Come Standard

When you’re dealing with internal documents, customer data, and private conversations, security isn’t optional — it’s mission-critical. AiSentr was built with a privacy-first architecture from day one. You remain in full control of your data, and nothing is passed to external AI models without your permission.

We’ve also designed AiSentr to work within your existing security framework. Whether your company is bound by GDPR, HIPAA, or internal compliance protocols, our system is designed to meet your requirements while giving you transparency into how data is accessed and used. You shouldn’t have to choose between smart and secure — with AiSentr, you get both.

A Platform for Real Businesses

What sets AiSentr apart isn’t just the technology — it’s the mindset. We don’t believe AI should be an elite tool used only by companies with large IT departments and deep budgets. We built AiSentr to level the playing field. Whether you’re a growing startup, a local service business, or an established mid-size team, our goal is to make automation, conversation, and intelligent action something everyone can access — without needing a technical background.

You don’t need to rip out your existing systems. You don’t need to spend six figures. You don’t need to wait six months. With AiSentr, you can start today — with the tools you already use and the data you already have.

Smarter Tools Without Smarter Headaches

AI should feel like an upgrade, not a burden. AiSentr helps you move faster, respond better, and stay focused on the work that matters most — not on figuring out how to stitch all your software together. By combining simplicity, privacy, and adaptability, AiSentr makes the future of AI accessible right now.

If your team is ready to work smarter — without working harder — it starts here.Learn more at www.aisentr.com   https://www.aisentr.com/

[contactform7toanyapi]

How to Use ContactFormToAPI to Connect Your Static HTML Forms to Zapier

In the modern web development landscape, building fast, secure, and serverless websites is more popular than ever. Static sites are blazing fast, cost-effective, and often hosted on platforms like GitHub Pages, Netlify, or Vercel. But one lingering challenge remains: how do you handle form submissions without a traditional backend?

Enter ContactFormToAPI, a powerful no-code solution that connects static HTML forms directly to any API endpoint, including Zapier. By bridging this gap, you can easily automate workflows, capture leads, and integrate with countless apps—without spinning up a backend or writing server-side logic.

In this guide, we’ll walk through how to use ContactFormToAPI to connect your static HTML forms to Zapier, so you can trigger zaps every time someone submits a form on your website.

What You'll Need

A simple HTML website or static site (can be hosted anywhere)

A Zapier account (free or paid)

A ContactFormToAPI account (free tier available)

Step 1: Create Your HTML Form

Here’s a basic contact form you might include in your HTML site:

<form id="contactForm" method="POST" action="https://contactformtoapi.com/api/YOUR_UNIQUE_ENDPOINT">

  <input type="text" name="name" placeholder="Your Name" required>

  <input type="email" name="email" placeholder="Your Email" required>

  <textarea name="message" placeholder="Your Message" required></textarea>

  <button type="submit">Send</button>

</form>

Note: You’ll replace YOUR_UNIQUE_ENDPOINT with the actual endpoint provided by ContactFormToAPI. We'll set that up next.

Step 2: Create a Zap in Zapier

Zapier is an automation platform that connects your apps and services. Our goal here is to make a Zap that triggers when a form is submitted via ContactFormToAPI.

1. Log in to Zapier

Visit zapier.com and sign in.

2. Create a New Zap

Click the “+ Create Zap” button.

3. Set the Trigger App to "Webhooks by Zapier"

Select Webhooks by Zapier as your trigger app.

Choose Catch Hook as the trigger event.

Zapier will now generate a unique webhook URL. Copy this URL—we'll use it in the next step.

Step 3: Set Up ContactFormToAPI

Go to the Contact Form to Any API and sign in or create a free account.

1. Create a New Form Endpoint

Click “New Form” or “Create Endpoint.”

Name your form (e.g., "Zapier Contact Form").

In the Webhook URL, paste the Zapier webhook URL you copied earlier.

(Optional) Enable reCAPTCHA or set a redirect URL after submission.

Click Save to generate your unique endpoint URL.

2. Update Your HTML Form

Replace YOUR_UNIQUE_ENDPOINT in your form’s action attribute with the new endpoint URL provided by ContactFormToAPI.

Example:

<form action="https://contactformtoapi.com/api/abcd1234">

3. Test the Form Submission

Fill out and submit the form on your website.

Zapier should detect the test data, and you’ll be prompted to move to the next step in building your Zap.

Step 4: Configure the Zap Action

After Zapier catches the hook, you'll configure what happens next:

1. Choose an Action App

Select any app where you'd like the form data to go:

Gmail (send email notification)

Google Sheets (log new entries)

Slack (send a message to a channel)

Notion, Trello, Airtable, Mailchimp, etc.

2. Map the Form Fields

Zapier will show the form fields (name, email, message). Match these fields with the action app's fields.

3. Turn On Your Zap

Click Publish Zap to activate it. Your static form is now fully connected!

Real-World Use Cases

Here are some creative ways you can use ContactFormToAPI + Zapier:

Newsletter Signup: Collect emails and add them to Mailchimp.

Support Form: Create a ticket in Trello or Zendesk.

Lead Generation: Send qualified leads directly to your CRM.

Job Application Form: Upload applicant details to Google Drive and notify HR in Slack.

Survey Feedback: Append responses to a Google Sheet for analysis.

Benefits of Using ContactFormToAPI with Zapier

No backend needed: Eliminate server setup and maintenance.

No-code friendly: Ideal for marketers and designers.

Fast setup: Get working forms live in minutes.

Highly flexible: Connect with over 5,000 apps via Zapier.

Security ready: Includes spam protection and HTTPS by default.

Tips for Success

Use reCAPTCHA v2 to protect your forms from bots.

Set up redirect URLs for a smoother user experience.

Add error handling by showing fallback messages if the form fails.

Log form data to a Google Sheet as a backup.

Conclusion

Thanks to ContactFormToAPI and Zapier, static websites can now have fully functional, automated forms without a backend. Whether you're building a landing page, portfolio, or marketing site, this powerful combo enables you to collect and route form data with ease.

[nulledclubproblog]

WooCommerce Zapier nulled plugin 2.13.0

Download WooCommerce Zapier Nulled Plugin – Automate Your Store Effortlessly If you're searching for a smart way to automate your WooCommerce store and streamline your workflows, look no further than the WooCommerce Zapier nulled plugin. This powerful tool connects your WooCommerce store to over 5,000 apps with ease, bringing automation to your fingertips—all without writing a single line of code. Best of all, you can download it for free right here on our website! What is the WooCommerce Zapier Nulled Plugin? The WooCommerce Zapier nulled plugin is a must-have integration tool for eCommerce businesses that want to simplify repetitive tasks. It acts as a bridge between WooCommerce and Zapier, enabling seamless automation of orders, customers, products, coupons, and more across a wide array of platforms like Google Sheets, Mailchimp, Slack, and CRM systems. This nulled version offers the same premium capabilities as the official release, allowing small and medium-sized businesses to enjoy high-end automation without the high cost. With just a few clicks, you can start syncing your store data and enhancing your business operations—all for free. Technical Specifications Plugin Name: WooCommerce Zapier Version: Latest updated version Compatible With: WooCommerce 5.x and above Integration: Zapier API License: GPL (Nulled – Free to Use) Top Features and Benefits Seamless Integration: Easily connect WooCommerce to thousands of third-party apps with no coding required. Real-Time Data Sync: Keep your store data updated in real-time across multiple platforms. Advanced Triggers: Set up powerful triggers and actions for orders, products, customers, and more. User-Friendly Dashboard: Manage your automations directly within your WooCommerce admin panel. Cost Savings: Download the WooCommerce Zapier nulled plugin absolutely free and save on premium licensing fees. Why Choose the WooCommerce Zapier Nulled Plugin? This plugin is ideal for busy store owners who need to reduce manual tasks and increase productivity. From syncing customer data to automating inventory management, it provides comprehensive automation that empowers your store to scale smoothly. Whether you're just starting or running a full-fledged eCommerce business, the WooCommerce Zapier nulled plugin is your go-to automation solution. Popular Use Cases Automatically send new order data to Google Sheets for easy tracking. Connect with Mailchimp to add new customers to your email marketing list. Send Slack notifications when a new order is placed. Trigger CRM updates when a customer makes a purchase. How to Install the WooCommerce Zapier Nulled Plugin Download the plugin file from our website. Log in to your WordPress admin dashboard. Navigate to Plugins > Add New and click Upload Plugin. Select the downloaded ZIP file and click Install Now. Activate the plugin and configure your Zapier settings. Once activated, you can start connecting your store to a world of apps and services through Zapier, unlocking unparalleled automation potential. Frequently Asked Questions (FAQs) Is it safe to use the WooCommerce Zapier nulled plugin? Yes, we ensure that all our plugins are scanned for malware and are fully functional. You can safely download and install the plugin without any risk. Can I use this plugin on multiple websites? Absolutely! The nulled version comes with no licensing restrictions, allowing you to install it on as many websites as you need. Do I need a Zapier account to use this plugin? Yes, you’ll need a free or paid Zapier account to create Zaps and integrate with other applications. Explore More Powerful Tools If you’re looking to enhance your page-building experience, check out our wpbakery nulled plugin—a perfect companion for customizing your WooCommerce store without limitations. Also, explore the stunning Enfold NULLED theme for a beautifully responsive website design that integrates seamlessly with WooCommerce. Don’t wait—take

control of your store’s automation with the WooCommerce Zapier  Download it today and experience effortless integration and optimization like never before.