Put an AI agent to work on your web data
Connect Bright Data in one click and let an autonomous agent do more than collect: it reads the datasets and SERP results Bright Data returns, spots what changed, and turns the findings into briefs, alerts, and CRM updates across the rest of your stack. You set the autonomy, it does the analysis.
7-day trial · Cancel anytime
Fleece AI connects to Bright Data through managed OAuth and lets autonomous agents trigger web data collection, pull datasets and SERP results through Bright Data's compliant infrastructure, and read the returned data. Agents combine Bright Data with 3,000+ other apps — Google Sheets, Slack, Notion, HubSpot — so public web data stops being a raw file and becomes a competitor-pricing alert, a market brief, or an enriched lead list, under the approval rules you set.
At a glance
| Category | Data |
|---|---|
| Availability | Business plan and up — included in the 7-day trial |
| Connects to | 3,000+ apps via managed OAuth |
| Setup | Connect your tools — no code required |
| Autonomy | Suggest-only to fully autonomous, with approval gates |
| Pricing | 7-day trial (€1 card check, credited back), then paid plans |
By Loïc Jané · Updated June 30, 2026
What a Fleece agent does with Bright Data
Bright Data is how teams collect public web data at scale — through its Web Scraper API, ready-made datasets, proxy networks, and SERP data endpoints, all run on infrastructure built for compliant, large-scale collection. The data it returns is excellent raw material: competitor pricing, product catalogs, search rankings, public company information. But raw material is exactly the problem. A dataset or an API response is not a decision; someone still has to read it, compare it to last week, decide what it means, and get that in front of the people who act on it.
A Fleece agent turns that raw collection into finished analysis. Through managed OAuth — you authorize Bright Data once, and Fleece stores, scopes, and refreshes tokens securely — the agent can kick off a Web Scraper API job, pull a dataset, request SERP data for your tracked keywords, and read the results directly. It can run on a schedule — a weekly competitor sweep, a daily SERP check — or react when a new dataset lands, then compare the fresh pull against the last one and describe what actually moved.
What makes this different from calling the Bright Data API yourself is judgment. The API and datasets give you data; a Fleece agent reads that data, computes the deltas, decides which changes matter, and routes each finding to the right place across 3,000+ connected apps — a Slack alert, a Notion brief, a Google Sheets log, a CRM field. Every collection runs through Bright Data's compliant infrastructure and stays on public web data; the agent never attempts to reach private or logged-in content or to work around a site's protections.
What the agent can do with Bright Data
Collect public web data
Triggers Web Scraper API jobs and pulls datasets of public web data through Bright Data's compliant collection infrastructure.
SERP data on demand
Requests SERP results for your tracked keywords and reads rankings, so search-position work runs without manual lookups.
Spot what changed
Compares each fresh pull against the previous one and describes the real deltas — price moves, new listings, ranking shifts.
Findings where the team lives
Delivers a written brief or alert to Slack, Notion, or a Google Sheet — not a raw export nobody opens.
Scheduled and triggered runs
Runs a weekly competitor sweep or daily SERP check on a schedule, or reacts the moment a new dataset is ready.
Approval gates
Anything sensitive — writing to the CRM, emailing a report externally — pauses for your one-click sign-off first.
Automations teams run on Bright Data
These are concrete setups you can describe to a Fleece agent in plain language. Each one collects public web data through Bright Data's compliant infrastructure and combines it with other connected apps.
Competitive intelligence: a pricing watch that reads itself
Every week the agent pulls a Bright Data dataset of competitor pricing and public catalog data, compares it against the previous run, and posts a Slack summary of what actually moved — the three products that dropped, the two that came back in stock — instead of a spreadsheet nobody reads. The full pull is logged to Google Sheets for anyone who wants the detail.
Market research: briefs assembled, not just gathered
For a new market or segment, the agent collects public web data and SERP results through Bright Data, then assembles a structured research brief in Notion: the players, their positioning, notable public signals, and open questions. The team gets a readable document to react to, sourced from live collection rather than a stale deck.
Sales ops: enrich the lead list with public business data
The agent takes a lead list and enriches each row with public business data collected through Bright Data — company details and public web presence only — then writes the results back into HubSpot so reps open a record that is already filled in. It works strictly from public sources and never touches private or logged-in data.
SEO: a SERP-position digest the team can act on
Each morning the agent requests SERP data for the keywords you track, compares today's rankings to yesterday's, and posts a short digest to the SEO channel in Slack: what climbed, what slipped, and which new competitors appeared on page one. The full ranking history is kept in a Google Sheet for trend analysis.
How to connect Bright Data to Fleece AI
Create your Fleece account
Sign up and start the 7-day trial. You land in a workspace where agents, flows, and integrations live together.
Connect Bright Data via managed OAuth
Pick Bright Data from the integrations catalog and authorize it in one click. Fleece manages tokens and scopes for you; you can revoke access at any time from Bright Data or from Fleece.
Describe the job in plain language
Create an agent and tell it what to collect and what to produce — "pull the competitor pricing dataset each Monday, compare it to last week, and post what changed to #market". No flowchart building required.
Set autonomy and approval gates
Choose what the agent may do on its own and what waits for your sign-off. Sensitive actions like writing to the CRM or emailing a report pause for one-click approval.
Run it on triggers or a schedule
Let the agent react when a new dataset is ready, or schedule recurring flows — a weekly competitor sweep, a daily SERP check — that run without you.
Bright Data works better with the rest of your stack
Web data gets valuable the moment it leaves the raw file and reaches a decision. Pair Bright Data with Google Sheets to log every pull and track trends over time, with Slack to alert the team the instant something moves, with Notion to assemble research briefs, or with HubSpot to enrich records with public business data — all through the same agent, all under the same approval rules. Fleece connects to 3,000+ apps, so the stack you already use is almost certainly covered.
Frequently asked questions
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Put your web data on autopilot
Connect Bright Data in one click, describe the collection and the analysis in plain language, and let an autonomous agent turn public web data into decisions. 7-day trial, cancel anytime.
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