![Instacart (& Doordash) Illegal Bots: Personal Data, Cost, Risks [13] @RideshareRodeo](https://i.ytimg.com/vi/nGkSBNXxNyc/maxresdefault.jpg)
Uploaded November 2025 | Updated September 2026, 1 week ago
13 minutes of gig news, in 13 minutes or less
November 2nd, 2025
What people mean by “grabber bots” (high level):
* Purpose described by sellers: automatically detect and claim highly desirable Instacart items/orders (or quickly accept “batch” jobs as a shopper) before human users can.
Common components (non-technical description):
* A controller that repeatedly checks the target service for new opportunities.
* Account/session management (many services push multi-account use).
* Network routing/proxy service to appear to come from many IPs.
* CAPTCHAs and anti-bot countermeasure services (third-party solvers).
* A user interface or scripting layer that triggers the claim/checkout action.
Typical costs (very approximate ranges):
Costs vary a lot by seller quality, features, and how illicit the tool is. The following are rough, non-specific ranges you’ll see described in market listings:
* Cheap one-off scripts / low end: $10–$100 (often unreliable, may be scams or malware).
* Subscription bots / more polished tools: $200–$300 per month.
* MOST of subscription bots have a pre-set number of orders per key, new keys range $50-$200+
* Advanced / custom solutions or private proxies + account packs: $500–$1,300+ (sometimes sold in closed channels).
* Ongoing run costs (separate from purchase):
* Proxy services: typically $50–$200+/month depending on scale/type.
* VPS / server hosting: $10–$1000+/month.
* CAPTCHA solving services or similar: pay-per-use; totals vary with volume.
* If sellers offer “account packs” or other assets, those raise costs and legal risk dramatically.
Risks — why you should avoid using them:
* Violates Instacart Terms of Service. Using automated tools to claim orders or manipulate the platform is typically forbidden.
* Legal exposure. Depending on jurisdiction and how the bot is used, you could face civil claims (fraud, breach of contract) or even criminal charges in serious cases (fraud, unauthorized access).
* Financial risk & scams. “bot” sellers are scams — you pay and get malware, no-working code, or stolen account lists.
* Security risks. Third-party binaries or scripts can contain malware (keyloggers, backdoors), ALSO sellers ask for sensitive credentials.
* Chargebacks & merchant disputes. If bots are used to make purchases fraudulently, sellers and payment processors can reverse payments and involve law enforcement.
#instacart #instacartshopper #bot #doordash #gigwork
13 minutes of gig news, in 13 minutes or less
November 2nd, 2025
What people mean by “grabber bots” (high level):
* Purpose described by sellers: automatically detect and claim highly desirable Instacart items/orders (or quickly accept “batch” jobs as a shopper) before human users can.
Common components (non-technical description):
* A controller that repeatedly checks the target service for new opportunities.
* Account/session management (many services push multi-account use).
* Network routing/proxy service to appear to come from many IPs.
* CAPTCHAs and anti-bot countermeasure services (third-party solvers).
* A user interface or scripting layer that triggers the claim/checkout action.
Typical costs (very approximate ranges):
Costs vary a lot by seller quality, features, and how illicit the tool is. The following are rough, non-specific ranges you’ll see described in market listings:
* Cheap one-off scripts / low end: $10–$100 (often unreliable, may be scams or malware).
* Subscription bots / more polished tools: $200–$300 per month.
* MOST of subscription bots have a pre-set number of orders per key, new keys range $50-$200+
* Advanced / custom solutions or private proxies + account packs: $500–$1,300+ (sometimes sold in closed channels).
* Ongoing run costs (separate from purchase):
* Proxy services: typically $50–$200+/month depending on scale/type.
* VPS / server hosting: $10–$1000+/month.
* CAPTCHA solving services or similar: pay-per-use; totals vary with volume.
* If sellers offer “account packs” or other assets, those raise costs and legal risk dramatically.
Risks — why you should avoid using them:
* Violates Instacart Terms of Service. Using automated tools to claim orders or manipulate the platform is typically forbidden.
* Legal exposure. Depending on jurisdiction and how the bot is used, you could face civil claims (fraud, breach of contract) or even criminal charges in serious cases (fraud, unauthorized access).
* Financial risk & scams. “bot” sellers are scams — you pay and get malware, no-working code, or stolen account lists.
* Security risks. Third-party binaries or scripts can contain malware (keyloggers, backdoors), ALSO sellers ask for sensitive credentials.
* Chargebacks & merchant disputes. If bots are used to make purchases fraudulently, sellers and payment processors can reverse payments and involve law enforcement.
#instacart #instacartshopper #bot #doordash #gigwork
![Instacart (& Doordash) Illegal Bots: Personal Data, Cost, Risks [13]](https://i.ytimg.com/vi/nGkSBNXxNyc/mqdefault.jpg "Instacart (& Doordash) Illegal Bots: Personal Data, Cost, Risks [13]
13 minutes of gig news, in 13 minutes or less
November 2nd, 2025
What people mean by “grabber bots” (high level):
* Purpose described by sellers: automatically detect and claim highly desirable Instacart items/orders (or quickly accept “batch” jobs as a shopper) before human users can.
Common components (non-technical description):
* A controller that repeatedly checks the target service for new opportunities.
* Account/session management (many services push multi-account use).
* Network routing/proxy service to appear to come from many IPs.
* CAPTCHAs and anti-bot countermeasure services (third-party solvers).
* A user interface or scripting layer that triggers the claim/checkout action.
Typical costs (very approximate ranges):
Costs vary a lot by seller quality, features, and how illicit the tool is. The following are rough, non-specific ranges you’ll see described in market listings:
* Cheap one-off scripts / low end: $10–$100 (often unreliable, may be scams or malware).
* Subscription bots / more polished tools: $200–$300 per month.
* MOST of subscription bots have a pre-set number of orders per key, new keys range $50-$200+
* Advanced / custom solutions or private proxies + account packs: $500–$1,300+ (sometimes sold in closed channels).
* Ongoing run costs (separate from purchase):
* Proxy services: typically $50–$200+/month depending on scale/type.
* VPS / server hosting: $10–$1000+/month.
* CAPTCHA solving services or similar: pay-per-use; totals vary with volume.
* If sellers offer “account packs” or other assets, those raise costs and legal risk dramatically.
Risks — why you should avoid using them:
* Violates Instacart Terms of Service. Using automated tools to claim orders or manipulate the platform is typically forbidden.
* Legal exposure. Depending on jurisdiction and how the bot is used, you could face civil claims (fraud, breach of contract) or even criminal charges in serious cases (fraud, unauthorized access).
* Financial risk & scams. “bot” sellers are scams — you pay and get malware, no-working code, or stolen account lists.
* Security risks. Third-party binaries or scripts can contain malware (keyloggers, backdoors), ALSO sellers ask for sensitive credentials.
* Chargebacks & merchant disputes. If bots are used to make purchases fraudulently, sellers and payment processors can reverse payments and involve law enforcement.
#instacart #instacartshopper #bot #doordash #gigwork")
![DoorDash Drivers: Stop Chasing Acceptance Rate? Heres the Data [13]](https://i.ytimg.com/vi/nNmt3BtG1W4/mqdefault.jpg "DoorDash Drivers: Stop Chasing Acceptance Rate? Heres the Data [13]
🚨 This week in the gig economy—13 minutes or less!
This episode covers some of the biggest conversations happening in the DoorDash world, including:
✅ Dash Now for everyone in Colorado and what weve observed after 19 months
✅ Does Acceptance Rate actually matter anymore?
✅ High AR vs. Cherry Pickers: Side-by-side earnings comparison
✅ Why some drivers are driving 2-3x more miles for the same money
✅ What our testing showed about parking in the right spots vs. chasing orders
✅ Account reviews, deactivations, and fraudulent account crackdowns
✅ DoorDash, Waymo, autonomous delivery, and where driver pay may be headed
✅ Growing lawsuits and new legislation that could impact gig workers nationwide
Well also discuss what DoorDash may need to solve before the holiday season and why the next few months could be some of the biggest the gig economy has seen.
💬 What are you seeing in your market?
Has Acceptance Rate changed anything for you? Are you earning more by cherry-picking, or are you still working the tiers?
👇 Drop your questions, comments, and experiences below—they may be featured in tomorrows podcast.
Subscribe for weekly gig economy updates, DoorDash news, Uber Eats news, Spark, Instacart, legislation updates, and real-world driver testing.
#DoorDash #GigEconomy #GigNews #DoorDashDriver #DeliveryDriver #UberEats #SparkDriver #Instacart #SideHustle #GigWork #Dasher #DoorDashNews #DeliveryApps")
![The Algorithm Deciding How Little Gig Workers Will Accept [13]](https://i.ytimg.com/vi/qnOnuJoJI5w/mqdefault.jpg "The Algorithm Deciding How Little Gig Workers Will Accept [13]
13 minutes of gig news in 13 minutes or less
June 14th, 2026
.:: PLEASE ADD YOUR NAME TO LINK BELOW ::.
Delivery Network Company Driver Transparency & Protections Act
https://www.change.org/p/delivery-network-company-driver-transparency-protections-act
*IN THIS VIDEO*
Gig work was sold as freedom.
Work when you want. Be your own boss. Earn extra money on your schedule.
But for millions of Americans, gig work is no longer a side hustle—its how they survive.
Today, some of the largest gig platforms in the United States use sophisticated algorithms that track worker behavior, including how often they accept jobs, how long they stay online, and how urgently they appear to need income. Critics argue these systems are designed to determine the lowest rate a worker will accept—not the true value of their labor.
As more people rely on gig work as a primary source of income, concerns are growing about transparency, fairness, and the growing influence of data-driven wage systems.
And this doesnt stop with gig work.
The same data-driven pricing strategies are increasingly being used to influence rents, consumer prices, and access to services across the economy. Companies can now analyze behavior patterns to predict what people are willing—or forced—to accept.
When workers have fewer options, less savings, and weaker protections, the ability to say no becomes harder. Thats where algorithmic systems gain their power.
In this video, we examine:
• How gig work platforms use data and algorithms
• What experts mean by a desperation wage
• Why many workers earn less the longer they work
• How algorithmic pricing is spreading across the economy
• The growing movement for transparency and fair pay
• What changes could create a more accountable system
The bigger question isnt just about gig work.
Its about whether technology will be used to empower workers—or to optimize how little they can be paid.
Watch, share, and join the conversation.
#GigEconomy #Uber #DoorDash #Instacart #AmazonFlex #GigWork #WorkersRights #Algorithms #FutureOfWork #Economy #LaborRights #Technology")
![Waymo it is now time to GO [13]](https://i.ytimg.com/vi/r3IRuTDRw1k/mqdefault.jpg "Waymo it is now time to GO [13]
13 minutes of gig news
June 26th, 2026
Waymo, “we the people”, have had it with your non-working autonomous vehicles that have way to many issues to be on the road.
Today lets breakdown 13 issues, each of which should have been enough to get you off public roads.
1. Collisions with gates, chains, and similar barriers
Waymo vehicles were involved in multiple low-speed collisions with gates, chains, and gate-like obstacles that the system failed to properly recognize. This led to a recall affecting about 1,200 vehicles and a software update. NHTSA had investigated a series of such incidents dating from 2022–2024.
2. Two robotaxis crashed into the same towed pickup truck
In December 2023, two separate Waymo vehicles struck the same towed pickup truck in Phoenix within minutes of each other. No injuries occurred, but it became Waymos first formal recall. The issue was attributed to software misjudging the motion of the towing configuration.
3. Collision with a telephone pole
A Waymo vehicle hit a telephone pole in Phoenix after maneuvering around another object. The incident triggered a fleet-wide software recall and update.
4. Driving into or toward flooded roadways
Waymo recalled thousands of vehicles after discovering software could allow robotaxis to enter standing water under some conditions. The concern was potential loss of vehicle control.
5. Passing stopped school buses
A software defect caused Waymo vehicles to proceed past stopped school buses displaying stop signals. Texas officials reported numerous incidents, resulting in another recall and software fix.
6. Construction-zone and traffic-cone problems
Federal investigators reviewed incidents where Waymo vehicles allegedly entered construction zones improperly, interacted incorrectly with traffic-control devices, or failed to respond appropriately to cones and temporary traffic management setups.
7. Wrong-lane and traffic-law concerns
NHTSA examined reports that some Waymo vehicles:
* Drove in the wrong lane
* Made unexpected maneuvers
* violated traffic laws
* Behaved unpredictably around road controls and obstacles
These reports are part of a broader federal safety investigation.
8. Crashes involving stationary objects
Regulators investigated incidents in which Waymo vehicles struck:
* Barriers
* Utility poles
* Chains
* Gates
* Other stationary roadside objects
A recurring concern IS whether the system could reliably detect unusual but visible obstacles.
9. Vehicles getting stuck or causing traffic disruptions
Numerous publicly reported incidents
* Stopping unexpectedly
* Becoming confused by unusual road conditions
* Blocking lanes
* Creating temporary traffic backups
* Struggling around emergency scenes or construction areas
These incidents contribute to regulatory scrutiny even when no collision occurred.
10. Emergency-response interactions
Fire departments and local agencies in several cities have reported occasions where autonomous vehicles, including Waymos, complicated emergency operations by stopping in unexpected places or not responding to emergency personnel directions.
11. Philippine Safety Drivers
In a congressional hearing WAYMO admitted its safety drivers are located in the Philippines.
12. Regulatory investigations
NHTSA has opened a major investigation after receiving reports involving crashes and possible traffic-law violations.
13. Texas incident Friday June 5th 2026
{{{ search the video out on this one — it is national mainstream media }}}
#waymo #rideshare #uber #lyft #autonomousvehicles")
